Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed. An example method includes receiving a first request from a first type of computing device; sending a request for demographic information corresponding to requests received at a first internet domain from the first type of computing device; generating an aggregated audience distribution including a first audience distribution of a first household aggregated with a second audience distribution of a second household; normalizing the aggregated audience distribution to generate a misattribution correction matrix, the misattribution correction matrix including a probability that an impression of the media is attributable to a first demographic group when the database proprietor determines the impression corresponds to a person in a second demographic group; and compensating misattribution error in the impressions by re-assigning the impressions from the second demographic group to the first demographic group using the misattribution correction matrix.
G06Q 30/0242 - Détermination de l’efficacité des publicités
H04W 4/18 - Conversion de format ou de contenu d'informations, p. ex. adaptation, par le réseau, des informations reçues ou transmises pour une distribution sans fil aux utilisateurs ou aux terminaux
H04W 4/21 - Signalisation de servicesSignalisation de données auxiliaires, c.-à-d. transmission de données par un canal non destiné au trafic pour applications de réseaux sociaux
2.
METHODS, APPARATUS, AND MACHINE-READABLE STORAGE MEDIA TO MONITOR A MEDIA PRESENTATION
Methods, apparatus, and machine-readable storage media to monitor media presentations are disclosed. An example method includes monitoring, by a first application operating on a mobile device, the mobile device to determine a likelihood that media is being presented by the mobile device; and updating, by the first application based on the likelihood satisfying a threshold condition, a status at a status server. The example method further includes receiving, by a second application operating on the mobile device, a status update from the status server; and, based on receiving the status update, collecting, by the second application, audio for media monitoring.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
H04H 20/57 - Dispositions spécialement adaptées à des applications spécifiques, p. ex. aux informations sur le trafic ou aux récepteurs mobiles aux récepteurs mobiles
H04H 60/31 - Dispositions de contrôle de l'utilisation des services de radiodiffusion
H04H 60/37 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier des segments des informations radiodiffusées, p. ex. des scènes, ou extraire des identificateurs [ID] de programmes
H04H 60/58 - Dispositions caractérisées par des composants spécialement adaptés à la surveillance, l'identification ou la reconnaissance, couverts par les groupes ou audio
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/414 - Plate-formes spécialisées de client, p. ex. récepteur au sein d'une voiture ou intégré dans un appareil mobile
H04N 21/422 - Périphériques d'entrée uniquement, p. ex. système de positionnement global [GPS]
H04N 21/439 - Traitement de flux audio élémentaires
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
3.
METHODS AND APPARATUS TO DETERMINE TAGS FOR MEDIA USING MULTIPLE MEDIA FEATURES
Example methods, apparatus, systems and articles of manufacture are disclosed to determine tags for unknown media using multiple media features. Disclosed examples extract features from portions of the unknown media. Disclosed examples weight the features based at least partially on respective recognition technologies used to extract the features to determine corresponding weighted features. Disclosed examples search a database of pre-tagged media with a combination of the weighted features to generate a list of suggested tags for the unknown media, the list of suggested tags including relevancy scores for respective ones of the tags in the list. Disclosed examples assign a tag from the list of suggested tags to the unknown media based on a comparison of the relevancy score for the tag to a threshold.
An intermediary gateway, such as a streaming meter, with internal failover operation. In an example, the gateway contains (i) main gateway logic, including as a main network interface and main processor with associated data storage holding instructions executable by the main processor to govern operation of the gateway, and (ii) backup gateway logic, including as a backup network interface and backup processor with associated data storage also holding instructions executable by the main processor to govern operation of the gateway. Further, the main program instructions are executable by the main processor to detect a failure of the main processor to communicate on the network and to responsively cause activation of the backup gateway logic as active gateway logic of the gateway, to facilitate continued operation of the gateway.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
5.
Use of Steganographically-Encoded Time Information as Basis to Control Implementation of Dynamic Content Modification
A method and system for controlling implementation of dynamic content modification. The disclosure provides for using at least one steganographically-encoded timestamp in a media stream transmitted to a media client as a basis to determine a transmission delay for media-stream transmission to the media client, and for providing the determined transmission delay as a basis to facilitate control over whether to have the media client implement dynamic content modification. In addition, the disclosure provides for receiving respectively from each of various media clients a report indicating transmission delay determined for the media client based on such steganographically-encoded timestamp data, and using the transmission delays for the media clients to establish a dynamic-content-modification footprint that could be used to control whether, where, and to what extent dynamic content modification will be applied.
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 21/2389 - Traitement de flux multiplexé, p. ex. cryptage de flux multiplexé
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
In one example, a method is described. The method includes: obtaining network traffic data including at least one user agent, where the user agent is associated with a client device coupled to a network at a media exposure measurement location, and where the user agent comprises a string of characters defining client device attributes, comparing one or more of the client device attributes to candidate device attributes stored in an audience measurement database, based on the comparison, selecting, from a set of candidate device attributes, a set of target device attributes corresponding to a target device identifier, determining a number of occurrences of the set of target device attributes in the network traffic data, and based on a determination that the number of occurrences is above a threshold, outputting the target device identifier as the device identifier that corresponds to the user agent.
Systems and methods are disclosed for dynamic content delivery based on vehicle navigational attributes. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to at least obtain navigational attributes from an electronic device of a vehicle via a network, determine a relevancy score for respective ones of first sporting event data items based on the navigational attributes, based on a determination that the navigational attributes correspond to a driving condition, identify a second sporting event data item of the first sporting event data items based on a relevancy score of the second sporting event data item corresponding to the driving condition, and transmit the second sporting event data item to the electronic device of the vehicle to cause the second sporting event data item to be presented.
G01C 21/26 - NavigationInstruments de navigation non prévus dans les groupes spécialement adaptés pour la navigation dans un réseau routier
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p. ex. requêtes spatio-temporelles
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons
8.
Content Recognition with Audio Fingerprints When Dialog Enhancement is Enabled on Playback Devices
A method and system for helping to facilitate fingerprint-based automatic content recognition when audio may be subject to dialog enhancement (DE). An example method includes, for each of multiple audio time segments, (a) a computing system generating alternate digital reference fingerprint data representing the audio time segment, including at least (i) non-DE reference fingerprint data representing the audio time segment without the audio time segment being dialog enhanced and (ii) DE reference fingerprint data representing the audio time segment with the audio time segment being dialog enhanced and (b) providing the generated alternate digital reference fingerprint data for storage in a reference-fingerprint library for use in fingerprint matching. Including the DE reference fingerprint data may help to facilitate more robust matching of query fingerprint data that represents dialog enhanced audio content.
H04N 21/4402 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé impliquant des opérations de reformatage de signaux vidéo pour la redistribution domestique, le stockage ou l'affichage en temps réel
H04N 21/439 - Traitement de flux audio élémentaires
9.
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS TO IDENTIFY MEDIA USING SCREEN CAPTURE
Methods, apparatus, systems, and articles of manufacture are disclosed that utilize screen capture to identify media. Example meter devices disclosed herein are to, in response to determining a media device is powered on, monitor a media device to detect audio output by the media device. Disclosed example meter devices are also to, in response to audio not being detected for a period of time, instruct an image capture device to capture image data representative of a media presentation by the media device. Disclosed example meter devices are also to instruct the image capture device to stop capturing the image data in response to detection of audio output by the media device. Disclosed example meter devices are also to determine, based on whether the image data corresponds to a menu presentation by the media device, whether to transmit the image data to a central facility for media identification.
H04N 21/433 - Opération de stockage de contenu, p. ex. opération de stockage en réponse à une requête de pause ou opérations de cache
G06F 3/14 - Sortie numérique vers un dispositif de visualisation
H04N 21/439 - Traitement de flux audio élémentaires
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 23/00 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande
Systems and methods are provided for filtering at least one media content catalog based on criteria for a station library to generate a first list of candidate tracks for the station library, combining a similarity score and a popularity score for each track of the first list of candidate tracks to generate a total score for each track of the first list of candidate tracks, generating a list of top ranked tracks for the first genre, and returning the list of top ranked tracks of the first genre as part of the station library.
G06F 16/61 - IndexationStructures de données à cet effetStructures de stockage
G06F 16/68 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
11.
RADIO HEAD UNIT WITH DYNAMICALLY UPDATED TUNABLE CHANNEL LISTING
H04H 20/26 - Dispositions de commutation de systèmes de distribution
H04H 20/62 - Dispositions spécialement adaptées à des applications spécifiques, p. ex. aux informations sur le trafic ou aux récepteurs mobiles à la radiodiffusion locale, p. ex. la radiodiffusion en interne aux systèmes de transport, p. ex. dans les véhicules
12.
Methods and Systems for Extracting Sport-Related Information from Digital Video Frames
A computing system automatically extracting, from a digital video frame, scoreboard information including a first team name, a second team name, a first score, and a second score. The computing system (a) detects, within the digital video frame, a plurality of frame regions based on each detected frame region depicting text; (b) selects, from the detected frame regions, a set of frame regions based on the frame regions of the selected set cooperatively having a geometric arrangement that corresponds with a candidate geometric arrangement of the scoreboard information; (c) recognizes characters respectively within each of the frame regions of the selected set of frame regions; (d) based at least on the recognized characters in the frame regions of the selected set, detects the scoreboard information; and (e) records the detected scoreboard information.
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
In one aspect, a method includes detecting a fingerprint match between query fingerprint data representing at least one audio segment within podcast content and reference fingerprint data representing known repetitive content within other podcast content, detecting a feature match between a set of audio features across multiple time-windows of the podcast content, and detecting a text match between at least one query text sentences from a transcript of the podcast content and reference text sentences, the reference text sentences comprising text sentences from the known repetitive content within the other podcast content. The method also includes responsive to the detections, generating sets of labels identifying potential repetitive content within the podcast content. The method also includes selecting, from the sets of labels, a consolidated set of labels identifying segments of repetitive content within the podcast content, and responsive to selecting the consolidated set of labels, performing an action.
G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
G10L 17/02 - Opérations de prétraitement, p. ex. sélection de segmentReprésentation ou modélisation de motifs, p. ex. fondée sur l’analyse linéaire discriminante [LDA] ou les composantes principalesSélection ou extraction des caractéristiques
G10L 17/06 - Techniques de prise de décisionStratégies d’alignement de motifs
G10L 25/90 - Détermination de la hauteur tonale des signaux de parole
14.
System and Method to Identify Programs and Commercials in Video Content via Unsupervised Static Content Identification
In one aspect, an example method includes (i) determining, by a computing system, a mean image of a set of frames of video content; (ii) extracting, by the computing system, a reference template of static content from the mean image; (iii) identifying, by the computing system, the extracted reference template of static content in a frame of the set of frames of the video content; (iv) labeling a segment within the video content as either a program segment or an advertisement segment based on the identifying of the extracted reference template of static content in the frame of the video content; and (v) generating data identifying the labeled segment.
Systems, methods, and apparatus to identify media devices are disclosed. An example network communications monitor includes network interface circuitry, computer readable instructions, and processor circuitry. The processor circuitry is to execute the computer readable instructions to detect, via the network interface circuitry, multiple network communications transmitted on a home network within the household, access panelist data that associates a panelist of the household with a panelist device of the panelist, determine, based on the panelist data, that one or more of the multiple network communications are associated with the panelist device, and cause storage of data identifying the one or more network communications in association with the panelist.
H04H 60/32 - Dispositions de contrôle des conditions des stations réceptrices, p. ex. un dysfonctionnement ou une panne de celles-ci
H04L 61/103 - Correspondance entre adresses de types différents à travers les couches réseau, p. ex. résolution d’adresse de la couche réseau dans la couche physique ou protocole de résolution d'adresse [ARP]
H04L 61/2514 - Traduction d'adresses de protocole Internet [IP] entre adresses IP locales et globales
H04L 61/5014 - Adresses de protocole Internet [IP] en utilisant le protocole de configuration dynamique de l'hôte [DHCP] ou le protocole d'amorçage [BOOTP]
16.
METHODS AND APPARATUS FOR AFFILIATE INTERRUPT DETECTION
Methods, apparatus, systems and articles of manufacture are disclosed for affiliate interrupt detection. An example method disclosed herein includes determining whether a first time period of a first audio signal corresponds to a first affiliate interrupt period based on whether (1) a first type of watermark is detected in the first time period of the first audio signal, and (2) a second type of watermark is detected in the first audio signal outside the first time period but not in the first time period of the first audio signal, and determining whether the first time period of the first audio signal corresponds to the first affiliate interrupt period when watermarks are not detected in the first time period of the first audio signal based on comparison of first signatures with second signatures representing a corresponding first time period of a reference audio signal.
H04N 21/2389 - Traitement de flux multiplexé, p. ex. cryptage de flux multiplexé
H04N 21/233 - Traitement de flux audio élémentaires
H04N 21/234 - Traitement de flux vidéo élémentaires, p. ex. raccordement de flux vidéo ou transformation de graphes de scènes du flux vidéo codé
H04N 21/262 - Ordonnancement de la distribution de contenus ou de données additionnelles, p. ex. envoi de données additionnelles en dehors des périodes de pointe, mise à jour de modules de logiciel, calcul de la fréquence de transmission de carrousel, retardement de la transmission de flux vidéo, génération de listes de reproduction
Audience monitoring systems and related methods are described herein. An example audience monitoring system includes a beacon to be disposed proximate a media presentation device. The beacon is to transmit a ping signal. The system also includes a portable metering device to be carried by a person. The portable metering device includes a microphone to receive an audio signal and a processor to determine a distance value indicative of a distance between the portable metering device and the beacon based on the ping signal.
H04Q 9/00 - Dispositions dans les systèmes de commande à distance ou de télémétrie pour appeler sélectivement une sous-station à partir d'une station principale, sous-station dans laquelle un appareil recherché est choisi pour appliquer un signal de commande ou pour obtenir des valeurs mesurées
Example methods and systems for indexing fingerprints are described. Fingerprints may be made up of sub-fingerprints, each of which corresponds to a frame of the media, which is a smaller unit of time than the fingerprint. In some example embodiments, multiple passes are performed. For example, a first pass may be performed that compares the sub-fingerprints of the query fingerprint with every thirty-second sub-fingerprint of the reference material to identify likely matches. In this example, a second pass is performed that compares the sub-fingerprints of the query fingerprint with every fourth sub-fingerprint of the likely matches to provide a greater degree of confidence. A third pass may be performed that uses every sub-fingerprint of the most likely matches, to help distinguish between similar references or to identify with greater precision the timing of the match. Each of these passes is amenable to parallelization.
G06F 16/41 - IndexationStructures de données à cet effetStructures de stockage
G06F 16/48 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
H04N 21/84 - Génération ou traitement de données de description, p. ex. descripteurs de contenu
19.
Music Release Disambiguation using Multi-Modal Neural Networks
Methods and systems for disambiguating musical artist names are disclosed. Musical-artist-release records (MARRs) may be input to a multi-modal artificial neural network (ANN). Each MARR may be associated with a musical release of an artist, and may include a release ID and an artist ID, and release data in categories including music media content and metadata categories including sub-definitive musician name of the artist and release subcategories. All n-tuples of MARRs may be formed, and for each n-tuple, the ANN may be applied concurrently to each MARR to generate a release feature vector (RFV) that includes a set of sub-feature vectors, each characterizing a different category of release data. For each n-tuple, the ANN may be trained to cluster in a multi-dimensional RFV space RFVs of the same artist ID, and to separate RFVs of different artist IDs. The MARRs and their RFVs may be stored in a release database.
Methods, apparatus, systems, and articles of manufacture are disclosed to measure audience exposure to media streams with a wireless isochronous data link. In one example, an apparatus includes a datastore, a network interface circuitry, and processor circuitry. The network interface circuitry obtains a first copy of audio data from a first wireless data link, the audio data transmitted from an audio source device, wherein a second copy of the audio data is transmitted, synchronously to the first copy of the audio data, to an audio sink device over a second wireless data link. The processor circuitry to instantiate data parsing circuitry to parse a media stream identifier from the first copy of the audio data and media identification assignment circuitry to assign the media stream identifier to an audio data log for the audio sink device.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
A streaming meter on a LAN configures a host device on the LAN to use the streaming meter as a default gateway of the host, including engaging in Router Advertisement (RA) messaging to cause a host to use the streaming meter as the host’s default gateway and to denounce an RA message from a gateway (GW) and thus undo associated settings established by the GW. In particular, the streaming meter could respond to a Router Solicitation (RS) message from the host and/or to a RA message from the GW by (i) sending its own RA message configured to cause the host to use the streaming meter as the host’s default gateway and perhaps further as the host’s default Domain Name Server (DNS) and (ii) sending a spoofed RA message configured to denounce the GW’s RA message and thus to undo associated settings that the GW’s RA message sought to establish.
H04L 61/5014 - Adresses de protocole Internet [IP] en utilisant le protocole de configuration dynamique de l'hôte [DHCP] ou le protocole d'amorçage [BOOTP]
H04L 12/66 - Dispositions pour la connexion entre des réseaux ayant différents types de systèmes de commutation, p. ex. passerelles
H04L 61/103 - Correspondance entre adresses de types différents à travers les couches réseau, p. ex. résolution d’adresse de la couche réseau dans la couche physique ou protocole de résolution d'adresse [ARP]
H04L 61/5053 - Durée du bailAspects de renouvellement
22.
DEDUPLICATION ACROSS MULTIPLE DIFFERENT DATA SOURCES TO IDENTIFY COMMON DEVICES
Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to deduplicate common devices across multiple data sources are disclosed. An example apparatus includes instructions to identify a first device in a first data source and a second device in a second data source as a possible common device, calculate at least one of a station duration metric, a time match metric or a station path metric, the station duration metric, the time match metric based times of day that the first device tuned to a second set of stations and times of day that the second device tuned to the second set of stations, determine a score based on the at least one of the station duration metric, the time match metric, or the station path metric, and determine when the first device and the second device are a common device based on the score.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
23.
METHODS AND APPARATUS TO CORRELATE CENSUS MEASUREMENT DATA WITH PANEL DATA
Methods, apparatus, and systems are disclosed to correlate census measurement data with panel data. An example system includes accessing means to access a message sent from a requesting device in response to accessing media that includes a tag causing the requesting device to send the message to a monitoring entity with an identification of a geographic location of the requesting device and media identifying information. The example system also includes identification means to determine locations of a plurality of panelist homes and compare the geographic location of the requesting device with the locations of the panelist homes. The example system also includes associating means to identify a user of the requesting device as a panelist residing at the first panelist home and associate the media identifying information with panelist data associated with the first one of the panelist homes.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/61 - Structure physique de réseauTraitement de signal
An example method includes capturing, with a camera collocated with presented visual media content, an image of a person. Further, the example method includes obtaining, based the captured image, a rotational-data tuple representing a direction of gaze of the person in relation to a position of the camera, as depicted by the image. Still further, the example method includes providing, to a machine-learning model, the rotational data, the machine-learning model having been configured by training data that labels each of a plurality of test rotational-data tuples respectively with an indication of whether the test rotational-data tuple represents attentiveness or rather non-attentiveness. And the example method further includes obtaining, from the machine-learning model, based on the provided rotational-data tuple, a prediction of whether the person as depicted in the captured image was attentive to the presented visual media content or was rather non-attentive to the presented visual media content.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06T 17/20 - Description filaire, p. ex. polygonalisation ou tessellation
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
25.
METHODS AND APPARATUS FOR OPTIMIZING STATION REFERENCE FINGERPRINT LOADING USING REFERENCE WATERMARKS
Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.
H04H 60/40 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier le temps ou l'espace de radiodiffusion pour identifier le temps de radiodiffusion
H04H 60/37 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier des segments des informations radiodiffusées, p. ex. des scènes, ou extraire des identificateurs [ID] de programmes
H04H 60/58 - Dispositions caractérisées par des composants spécialement adaptés à la surveillance, l'identification ou la reconnaissance, couverts par les groupes ou audio
H04H 60/59 - Dispositions caractérisées par des composants spécialement adaptés à la surveillance, l'identification ou la reconnaissance, couverts par les groupes ou vidéo
H04N 21/439 - Traitement de flux audio élémentaires
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
26.
METHODS AND APPARATUS TO USE DOMAIN NAME SYSTEM CACHE TO MONITOR AUDIENCES OF MEDIA
An example system includes: at least one memory; programmable circuitry; and instructions to cause the programmable circuitry to: cache a first ordered list of internet protocol (IP) addresses in a domain name system (DNS) cache; cache a second ordered list of IP addresses in the DNS cache; access a first server identifier from a first server associated with the first ordered set of IP addresses; access a second server identifier from a second server associated with the second ordered list of IP addresses; hash the first and second server identifiers to generate a user identifier; and store the user identifier as a cookie.
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
H04L 61/4511 - Répertoires de réseauCorrespondance nom-adresse en utilisant des répertoires normalisésRépertoires de réseauCorrespondance nom-adresse en utilisant des protocoles normalisés d'accès aux répertoires en utilisant le système de noms de domaine [DNS]
H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
H04L 67/146 - Marqueurs pour l'identification sans ambiguïté d'une session particulière, p. ex. mouchard de session ou encodage d'URL
Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions to: determine a first time and a category indicated by a watermark detected in the media, determine a search window based on the first time indicated by the watermark, the search window to at least one of (i) extend a first duration of time before the first time indicated by the watermark or (ii) extend a second duration of time after the first time indicated by the watermark, and compare (i) a query signature associated with a second time within the search window with (ii) a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the subset of reference signatures generated from reference media associated with the category.
H04H 60/64 - Dispositions pour des services utilisant les résultats du contrôle, de l'identification ou de la reconnaissance, couverts par les groupes ou pour fournir des informations détaillées
H04H 60/37 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier des segments des informations radiodiffusées, p. ex. des scènes, ou extraire des identificateurs [ID] de programmes
28.
METHODS AND APPARATUS TO GENERATE AUDIENCE METRICS USING THIRD-PARTY PRIVACY-PROTECTED CLOUD ENVIRONMENTS
An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
An example apparatus includes a record updater to initialize a variable to be equal to a first time of a first record classified as AOT data or to be equal to a last time of a last record classified as AOT data, an operating state identifier to access a first channel of the first record and last channel of the last record, a comparator to compare the first channel with a second channel or a third channel with the last channel, the second channel corresponds to a previously classified record of the first record and the third channel corresponds to a previously classified record of the last record, and a duplicator to, in response to the first channel matching the second channel, or the last channel matching the third channel, create a replica of the second channel or the third channel to store in place of the AOT data.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
A cover song identification method implemented by a computing system comprises receiving, by a computing system and from a user device, harmonic pitch class profile (HPCP) information that specifies one or more HPCP features associated with target audio content. A major chord profile feature and a minor chord profile feature associated with the target audio content are derived from the HPCP features. Machine learning logic of the computing system determines, based on the major chord profile feature and the minor chord profile feature, a relatedness between the target audio content and each of a plurality of audio content items specified in records of a database. Each audio content item is associated with cover song information. Cover song information associated with an audio content item having a highest relatedness to the target audio content is communicated to the user device.
G06F 16/683 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
In one aspect, a method includes receiving podcast content, generating a transcript of at least a portion of the podcast content, and parsing the podcast content to (i) identify audio segments within the podcast content, (ii) determine classifications for the audio segments, (iii) identify audio segment offsets, and (iv) identify sentence offsets. The method also includes based on the audio segments, the classifications, the audio segment offsets, and the sentence offsets, dividing the generated transcript into text sentences and, from among the text sentences of the divided transcript, selecting a group of text sentences for use in generating an audio summary of the podcast content. The method also includes based on timestamps at which the group of text sentences begin in the podcast content, combining portions of audio in the podcast content that correspond to the group of text sentences to generate an audio file representing the audio summary.
Methods and systems for invoking an attention-monitoring process as to media content presented by a media-presentation device. A computing system may detect, based on evaluation of packet-data communication with the media-presentation device, that the media-presentation device is receiving media content of a particular type, such as an advertisement, and the computing system may responsively invoke the attention-monitoring process. Alternatively or additionally, the computing system may detect based on information from an accessibility service in the media-presentation device, that the media-presentation device is presenting media content of a particular type, such as an advertisement, and the computing system may responsively invoke the attention-monitoring process.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
Methods and systems for invoking an attention-monitoring process as to media content presented by a media-presentation device. A computing system may detect, based on evaluation of packet-data communication with the media-presentation device, that the media-presentation device is receiving media content of a particular type, such as an advertisement, and the computing system may responsively invoke the attention-monitoring process. Alternatively or additionally, the computing system may detect based on information from an accessibility service in the media-presentation device, that the media-presentation device is presenting media content of a particular type, such as an advertisement, and the computing system may responsively invoke the attention-monitoring process.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
34.
METHODS AND APPARATUS TO CREDIT MEDIA SEGMENTS SHARED AMONG MULTIPLE MEDIA ASSETS
Methods, apparatus, systems and articles of manufacture to credit media segments shared among multiple media assets are disclosed. Example methods disclosed herein include comparing a sequence of media signatures with a library of reference signatures to determine a signature match, the media signatures representative of a media presentation. Disclosed example methods also include determining duration and offset of the signature match, the offset to represent a position of the signature match relative to a start of a reference media asset associated with the signature match. Disclosed example methods further include crediting a segment of the media presentation represented by the signature match to an identifier of a class of media assets including the reference media asset in response to a determination that (i) the duration of the signature match does not exceed a first threshold and (ii) the offset does not exceed a second threshold.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/235 - Traitement de données additionnelles, p. ex. brouillage de données additionnelles ou traitement de descripteurs de contenu
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
35.
METHODS AND APPARATUS TO IDENTIFY MEDIA THAT HAS BEEN PITCH SHIFTED, TIME SHIFTED, AND/OR RESAMPLED
Methods, apparatus, systems and articles of manufacture are disclosed to identify media that has been pitch shifted, time shifted, and/or resampled. An example apparatus includes: memory; instructions in the apparatus; and processor circuitry to execute the instructions to: transmit a fingerprint of an audio signal and adjusting instructions to a central facility to facilitate a query, the adjusting instructions identifying at least one of a pitch shift, a time shift, or a resample ratio; obtain a response including an identifier for the audio signal and information corresponding to how the audio signal was adjusted; and change the adjusting instructions based on the information.
G06F 16/683 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 16/68 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
36.
METHODS AND APPARATUS TO ESTIMATE AUDIENCE SIZES OF MEDIA USING DEDUPLICATION BASED ON BINOMIAL SKETCH DATA
Methods and apparatus to estimate audience sizes using deduplication based on binomial sketch data are disclosed. An apparatus includes processor circuitry to instantiate coefficient analyzer circuitry to determine coefficient values of a polynomial based on (i) variances in values in the first sketch data and second sketch data, (ii) a first cardinality of the first sketch data, and (iii) a second cardinality of the second sketch data. The processor circuitry to instantiate overlap analyzer circuitry to determine a real root of the polynomial, the real root corresponding to the quantity of the second subscribers that are duplicates of the first subscribers. The processor circuitry to instantiate report generator circuitry to estimate a deduplicated audience size based on the estimate of the quantity of the second subscribers that are duplicates of the first subscribers and the first and second cardinalities.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
37.
METHODS AND APPARATUS TO ESTIMATE CARDINALITY ACROSS MULTIPLE DATASETS REPRESENTED USING BLOOM FILTER ARRAYS
Methods and apparatus to estimate cardinality across multiple datasets represented using Bloom filter arrays are disclosed. Disclosed examples include processor circuitry to execute and/or instantiate instructions to determine an inclusion-exclusion expression that defines an audience size for a user group of interest. Terms in the inclusion-exclusion expression corresponding to either a first cardinality of a first one of at least three Bloom filter arrays or a second cardinality of a union of two or more of the Bloom filter arrays. Different ones of the Bloom filter arrays representative of different sets of users who accessed media. The at least one processor further to estimate, based on the inclusion-exclusion expression, the audience size of the user group of interest.
Methods, apparatus, systems, and articles of manufacture are disclosed to determine total audience ratings. An example apparatus includes metrics generator circuitry to generate a first audience size for media accessed by first devices of a first media platform at a first level of aggregation, the first level of aggregation corresponding to the media accessed on a first television network and on a first website, generate a second audience size for the media accessed by the first devices of the first media platform at a second level of aggregation, the second level of aggregation corresponding to the media accessed on the first television network and accessed on the first website and a second website, comparator circuitry to compare the first audience size to the second audience size, adjustor circuitry to reduce the first audience size based on the second audience size, and audience determination circuitry to determine a total audience size.
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
G06F 16/951 - IndexationTechniques d’exploration du Web
39.
METHODS AND APPARATUS TO IDENTIFY MEDIA PRESENTATIONS BY ANALYZING NETWORK TRAFFIC
Methods, apparatus, systems, and articles of manufacture are disclosed herein to identify media presentation by analyzing network traffic. Example instructions cause a machine to generate a traffic profile to reduce a computational burden of identifying streaming media being presented on a media presentation device, the traffic profile including first network traffic data indicative of the streaming media; obtain the traffic profile and second network traffic data corresponding to the streaming media; and generate, in response to a score for the second network traffic data meeting a threshold of similarity, a network traffic analysis report identifying the streaming media being presented on the media presentation device.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04H 60/29 - Dispositions de surveillance des services de radiodiffusion ou des services relatifs à la radiodiffusion
H04L 41/50 - Gestion des services réseau, p. ex. en assurant une bonne réalisation du service conformément aux accords
H04N 21/233 - Traitement de flux audio élémentaires
H04N 21/234 - Traitement de flux vidéo élémentaires, p. ex. raccordement de flux vidéo ou transformation de graphes de scènes du flux vidéo codé
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
H04N 21/647 - Signalisation de contrôle entre des éléments du réseau et serveur ou clientsProcédés réseau pour la distribution vidéo entre serveur et clients, p. ex. contrôle de la qualité du flux vidéo en éliminant des paquets, protection du contenu contre une modification non autorisée dans le réseau ou surveillance de la charge du réseau ou réalisation d'une passerelle entre deux réseaux différents, p. ex. entre réseau IP et réseau sans fil
40.
METHODS AND APPARATUS TO APPLY HOUSEHOLD-LEVEL WEIGHTS TO HOUSEHOLD-MEMBER LEVEL AUDIENCE MEASUREMENT DATA
Methods and apparatus to apply household-level weights to audience measurement data at a household-member level are disclosed. An example method to determine demographics of populations to measure media audiences of populations includes determining demographics for members of a first household of a sub-population. First demographics of a first member of the first household are different than second demographics of a second member of the first household. The example method includes calculating a first household-level weight for the first household based on a demographics distribution of the sub-population and aggregate demographics of a population. The example method includes applying the first household-level weight to the first demographics of the first member, applying the first household-level weight to the second demographics of the second member, and estimating a demographics distribution of the population to measure a media audience of the population based on the weighted first demographics and the weighted second demographics.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
41.
Method and Apparatus for Estimating Frequency Distribution From Probabilistic Data Structures
Methods and systems for estimating the frequency table of a data set stored in a probabilistic data structure such as a counting Bloom filter or Count-Min sketch. The system observes the distribution of values in the counters of the data structure (e.g., how many counters have value 0, 1, 2, etc.) Using these observed values, the system iteratively calculates the number of unique items in the data set that appear with specific frequencies. The method accounts for hash collisions by modeling the probability that a counter value results from a single item versus multiple colliding items, allowing for the reconstruction of the item frequency distribution without querying individual elements.
A method and system to facilitate media measurement when a device engages in streaming media communication that bypasses a possible local-area-network based streaming meter. An example method includes the device engaging in packet-data communications through a cellular-wireless connection between the device and a cellular access node. Further, the method includes he device routing the packet-data communications through an on-device meter programmatically defined within the device. Still further, the method includes the device using the on-device meter to detect, based on the packet-data communications, at least one streaming-media event including (i) a domain event associated with a streaming-media source and (ii) a bandwidth event associated with the domain event. And the method includes the device reporting the at least one detected streaming-media event to a media-measurement platform.
An example method includes: (a) receiving a set of query fingerprints associated with a media file; (b) comparing the set of query fingerprints to a set of reference fingerprints associated with primary reference media files; (c) identifying first and second subsets of query fingerprints, wherein the first subset of query fingerprints satisfies a first threshold extent of similarity, and wherein the second subset of query fingerprints does not; (d) identifying at least one candidate reference media file of the primary reference media files; (e) comparing the second subset of query fingerprints to a subset of secondary reference fingerprints, wherein the subset of secondary reference fingerprints is based on the identified at least one candidate reference media file; (f) identifying a particular reference media file of the plurality of secondary reference media files; and (g) transmitting an indication that the media file matches the particular reference media file.
G06F 16/435 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
G06F 16/487 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation
44.
Measurement System with Frequency Distribution Adjustment Feature
In one aspect, a method involves: determining, by a computing system, an observed distribution that estimates for each of multiple buckets indicating a number of times a given media content item was the subject of a measurement event, a respective count indicating how many people and/or devices were associated with a measurement event of the given media content item that number of times; using at least the observed distribution to determine a first of set of metrics; using at least (i) the determined observed distribution and (ii) at least some of the determined first set of metrics, to determine a reach-adjusted distribution; using at least the determined reach-adjusted distribution to determine a second set of metrics; using at least (i) the determined reach-adjusted distribution and (ii) at least some of the determined second set of metrics, to determine a reach-and-gross-rating-points (GRPs)-adjusted distribution; and outputting for presentation the determined reach-and-GRPs-adjusted distribution.
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
45.
METHODS AND APPARATUS TO ESTIMATE CARDINALITY THROUGH ORDERED STATISTICS
Methods, apparatus, systems, and articles of manufacture to estimate cardinality through ordered statistics are disclosed. In an example, an apparatus includes processor circuitry to selects a sample dataset from a first reference dataset of media assets and partitions the sample dataset into m mutually exclusive subsets of approximately equal size. The processor circuitry then estimates a ratio of a sample weighted average and empirical cumulative distribution of an approximately largest order statistic from at least one of the m subsets and generates an estimate of a total cardinality of the first reference dataset by multiplying the ratio by approximately m.
A computer-implemented method for efficiently estimating the number of unique elements in a collection of elements comprises generating, via hash logic, hash values for each element of the collection of elements. The method further comprises specifying, in a sketch-frequency table, a set of discrete statistical values associated with the hash values and, for each discrete statistical value of the set of discrete statistical values, information indicative of a frequency at which binary representations of the hash values are associated with the discrete statistical value. The cardinality of the collection of elements is estimated based on the sketch-frequency table.
A disclosed example includes accessing computer-generated impression records, the computer-generated impression records based on network communications received at a server of a database proprietor from client devices, the computer-generated impression records indicative of accesses to media at the client devices; accessing self-reported demographic data and behavioral data from a database of the database proprietor, the self-reported demographic data and the behavioral data corresponding to user accounts registered with the database proprietor and associated with the client devices; comparing the self-reported demographic data with a probability distribution of higher-accuracy demographic data; determining different adjustments for corresponding ones of self-reported demographics of the self-reported demographic data based on the comparison; adjusting the corresponding ones of the self-reported demographics based on corresponding ones of the different adjustments to generate adjusted user demographic data; and assigning the adjusted user demographic data to corresponding ones of the computer-generated impression records.
Methods and apparatus to generate reference signatures are disclosed. An example method includes collecting a first signature for media being presented to a plurality of households; crediting the media when the first signature matches a reference signature in a reference signature database; in response to determining that the first signature does not match a reference signature in the reference signature database and the first signature does not match an unidentified signature in an unknown signature database, storing the first signature in the unknown signature database; in response to determining that a second signature does not match the reference signature in the reference signature database and the second signature matches the unidentified signature in the unknown signature database, and increasing a count associated with the unidentified signature
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04H 60/31 - Dispositions de contrôle de l'utilisation des services de radiodiffusion
H04H 60/56 - Dispositions caractérisées par des composants spécialement adaptés à la surveillance, l'identification ou la reconnaissance, couverts par les groupes ou
49.
Use of Light as a Basis for Passive Login in an Audience Measurement System
A system and method to use light as a basis to detect whether two meters are in a same location as each other and, if one of the meters is at a panelist and the other is at a media-presentation device, to detect whether the panelist and media-presentation device are in the same physical space as each other, and in turn to detect that the panelist is be exposed to media presented by the media presentation device. An example method includes receiving light information obtained by a first meter, receiving light information obtained by a second meter, and correlating the first and second light information as a basis to detect presence of the first meter in the same location as the second meter.
In one aspect, an example computer-implemented method generating a pitch-based audio signature includes: (a) receiving audio content, (b) transforming the audio content, (c) generating a log-spaced frequency domain representation of the transformed audio content, (d) determining one or more magnitudes of the transformed audio content, (e) adjusting the log-spaced frequency domain representation of the transformed audio content based on the determined one or more magnitudes, (f) identifying a plurality of estimated pitch values within the adjusted log-spaced frequency domain representation, wherein identifying the plurality of estimated pitch values comprises identifying a plurality of peak characteristics in the adjusted log-spaced frequency domain representation and ordering the plurality of estimated pitch values based on the plurality of peak characteristics; and (g) generating the pitch-based audio signature based on the identified plurality of estimated pitch values.
Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
52.
Use of Secure-Session-Setup Signaling as a Basis to Facilitate Monitoring of Streaming-Media Exposure on per Server-Name Basis
A method and system for use of secure-session-setup signaling as a basis to monitor subsequent packet-data communication. In an example implementation, a meter detects a secure-session-setup signaling packet between a client and a server. The meter reads from the packet a server IP address of the server and a server name of the server and establishes a correlation record correlating the server IP address with the server name. Thereafter, the meter detects packet-data communication between the client and the server IP address, the detected packet-data communication excluding a plaintext indication of a name of the server with which the client is communicating at the server IP address. The established correlation record then serves as a basis to determine that the name of the server is the server name specified by the correlation record, which may in turn facilitate recording data indicating that the client was communicating with that server.
Example apparatus disclosed herein include a return path data classifier to classify a first viewing period associated with segments of return path data received from a set top box into tuning classifications based on the segments of the return path data; calculate a total reported tuning duration for the first viewing period when the first viewing period is classified as live or playback tuning; and compare the total reported tuning duration to a duration threshold to determine whether the segments of return path data associated with the first viewing period are valid. The example apparatus also includes a return path data rectifier to rectify missing tuning data associated with a second viewing period based on tuning data included in the segments of return path data associated with the first viewing period when the segments of the return path data associated with the first viewing period are determined to be valid.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
54.
Use of Steganographically-Encoded Time Information as Basis to Establish a Time Offset, to Facilitate Taking Content-Related Action
A method and system for using steganographically-encoded time information as a basis to control when a client carries out a content-related action. The client processes for presentation one or more linear media streams, each defining a respective time sequence of frames of media content, and at least one of the streams being steganographically encoded with at least one watermark at a respective time-point within the linear media stream, the watermark encoding a timestamp of the respective time-point within the linear media stream according to a server clock. The client extracts the timestamp from the watermark and computes a time offset based on a difference between the extracted timestamp and a current time according to a client clock. And the client uses the computed time offset as a basis to determine when to carry out a content-related action in a given one of the one or more linear media streams.
H04N 21/234 - Traitement de flux vidéo élémentaires, p. ex. raccordement de flux vidéo ou transformation de graphes de scènes du flux vidéo codé
G06T 1/00 - Traitement de données d'image, d'application générale
H04N 21/2389 - Traitement de flux multiplexé, p. ex. cryptage de flux multiplexé
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
Example techniques for calibrating a metering device are disclosed. An example method comprises: (a) capturing, via a first microphone, audio content from a media presentation device; (b) generating a first set of fingerprints; (c) transmitting the first set of fingerprints; (d) receiving a first correlation rate, wherein the first correlation rate indicates correlation between the first set of fingerprints and a first set of reference fingerprints; (e) capturing, via a second microphone, the audio content; (f) generating a second set of fingerprints; (g) transmitting the second set of fingerprints; (h) receiving a second correlation rate, wherein the second correlation rate indicates correlation between the second set of fingerprints and a second set of reference fingerprints; (i) determining that the second correlation rate is greater than the first correlation rate; and (j) based on determining that the second correlation rate is greater, stopping capturing the audio content by the first microphone.
Example methods, apparatus, systems and articles of manufacture to implement under-addressable advertisement measurement are disclosed. Example apparatus disclosed herein determine a tuned under-addressable advertisement duration and a total tuned advertisement duration for a first television broadcast at a first monitored site, the tuned under-addressable advertisement duration and the total tuned advertisement duration determined based on (i) return-path tuning data associated with the first monitored site, (ii) linear advertisement log data associated with a broadcast area including the first monitored site, and (iii) addressable advertisement log data associated with the first monitored site. Disclosed example apparatus also determine an under-addressable advertisement factor for the first television broadcast based on the tuned under-addressable advertisement duration and the total tuned advertisement duration, and adjust an input advertisement rating for the first television broadcast based on the under-addressable advertisement factor to determine an under-addressable advertisement rating for the first television broadcast.
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
57.
Use of Machine-Learning to Predict, Based on Ambient Light, When a Visual Media Presentation Device was Presenting Visual Media Content
A method and system for use of ambient light information as a basis to predict whether a visual media-presentation device such as a television was presenting visual media content. An example method includes use of one or more light sensors to monitor changes in ambient light over a period of time within a space encompassing the visual media-presentation device, and generating ambient-light data representing the monitored changes. Further, the example method includes providing the generated ambient-light data as input to a trained machine-learning model, and receiving from the trained machine-learning model, based on the provided ambient-light data, a prediction of whether the visual media-presentation device was presenting visual media content during the period of time. Further, the example method may then use the received prediction as a basis to take action, such as to control media-exposure measurement.
Techniques of providing motion video content along with audio content are disclosed. In some example embodiments, a computer-implemented system is configured to perform operations comprising: receiving primary audio content; determining that at least one reference audio content satisfies a predetermined similarity threshold based on a comparison of the primary audio content with the at least one reference audio content; for each one of the at least one reference audio content, identifying motion video content based on the motion video content being stored in association with the one of the at least one reference audio content and not stored in association with the primary audio content; and causing the identified motion video content to be displayed on a device concurrently with a presentation of the primary audio content on the device.
H04N 21/43 - Traitement de contenu ou données additionnelles, p. ex. démultiplexage de données additionnelles d'un flux vidéo numériqueOpérations élémentaires de client, p. ex. surveillance du réseau domestique ou synchronisation de l'horloge du décodeurIntergiciel de client
H04N 21/439 - Traitement de flux audio élémentaires
H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
59.
Methods and Systems for Scoreboard Text Region Detection
A computing system automatically detects, within a digital video frame, a video frame region that depicts a textual expression of a scoreboard. The computing system (a) engages in an edge-detection process to detect edges of at least scoreboard image elements depicted by the digital video frame, with at least some of these edges being of the textual expression and defining alphanumeric shapes; (b) applies pattern-recognition to identify the alphanumeric shapes; (c) establishes a plurality of minimum bounding rectangles each bounding a respective one of the identified alphanumeric shapes; (d) establishes, based on at least two of the minimum bounding rectangles, a composite shape that encompasses the identified alphanumeric shapes that were bounded by the at least two minimum bounding rectangles; and (e) based on the composite shape occupying a particular region, deems the particular region to be the video frame region that depicts the textual expression.
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
60.
METHODS AND APPARATUS TO IDENTIFY STREAMING SESSIONS
Methods, apparatus, systems and articles of manufacture for identifying streaming sessions are disclosed. An example apparatus includes an audience measurer to determine an identifier for a commercial presented at a media presentation device, and to determine a time at which the commercial was presented. The example apparatus also includes a log analyzer to compare the identifier and the time to a streaming session log from a streaming service provider (SSP) to identify a streaming session in which the commercial associated with the identifier was presented at the time. The example apparatus also includes a panelist matcher to associate, based on the comparison, a panelist identifier with a streaming session identifier corresponding to the streaming session.
H04L 65/60 - Diffusion en flux de paquets multimédias
H04L 65/1069 - Établissement ou terminaison d'une session
H04L 65/612 - Diffusion en flux de paquets multimédias pour la prise en charge des services de diffusion par flux unidirectionnel, p. ex. radio sur Internet pour monodiffusion [unicast]
H04L 65/80 - Dispositions, protocoles ou services dans les réseaux de communication de paquets de données pour prendre en charge les applications en temps réel en répondant à la qualité des services [QoS]
H04N 21/24 - Surveillance de procédés ou de ressources, p. ex. surveillance de la charge du serveur, de la bande passante disponible ou des requêtes effectuées sur la voie montante
A computing system determines accuracy of sport-related information extracted from a time sequence of digital video frames that represent a sport event, the extracted sport-related information including an attribute that changes over the time sequence. The computing system (a) detects, based on the extracted sport-related information, a pattern of change of the attribute over the time sequence and (b) makes a determination of whether the detected pattern is an expected pattern of change associated with the sport event. If the determination is that the detected pattern is the expected pattern, then, responsive to making the determination, the computing system takes a first action that corresponds to the sport-related information being accurate. Whereas, if the determination is that the detected pattern is not the expected pattern, then, responsive to making the determination, the computing system takes a second action that corresponds to the sport-related information being inaccurate.
Methods and apparatus to identify media application sessions are disclosed. An example apparatus includes an audio interface to monitor an audio output of a media presentation device during a viewing session, a tone analyzer to identify one or more dual-tone multi-frequency (DTMF) tones presented by the audio output of the media presentation device, a session identification determiner to determine a session identification value associated with the viewing session based on the one or more identified DTMF tones, and a session report generator to associate a panelist identifier with the viewing session, and generate a session report based on the session identification value associated with the DTMF tones and the panelist identifier associated with the viewing session.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
In one example, a method is described. The method includes obtaining a video stream of media content. The media content includes an advertising portion and a program portion. The advertising portion includes a plurality of advertising pods interleaved with the program portion. The method further includes detecting watermarks embedded in the video stream and determining, using the detected watermarks, the plurality of advertising pods in the video stream. The method further includes adjusting, using reference data from a database, a length of at least one advertising pod of the plurality of advertising pods in the video stream; and separating, after the adjusting, the program portion from the advertising pods in the video stream.
Methods, apparatus, systems and articles of manufacture are disclosed to determine virtual WiFi data rate. An example disclosed herein includes a control frame receiver to capture control frames from a user device. The example disclosed herein further includes a bitrate calculator to calculate a bitrate for each control frame by dividing a bitmap of a control frame by an amount of time between the control frame and a previously captured control frame. The example disclosed herein further includes an interval timer to control a length of time that the control frames are captured before calculating the virtual bandwidth. The example disclosed herein further includes a virtual bandwidth calculator to calculate the virtual bandwidth after the length of time, the virtual bandwidth calculated by dividing an average bitrate from the control frames by the length of time.
In one example, a computing system is described. The computing system is configured to perform a set of acts that includes obtaining, from a DEP, a non-redacted unique viewer count for a set of digital content exposures. The set of acts also includes obtaining, from the DEP via the protected cloud environment, a redacted exposures count for the set of digital content exposures. In addition, the set of acts includes determining, using an inverted reach curve and the non-redacted unique viewer count, an initial exposures value for the set of digital content exposures. The set of acts also includes scaling the initial exposures value using the redacted exposures count to obtain a final exposures value. Further, the set of acts includes determining, using a reach curve and the final exposures value, a final unique viewer count for the set of digital content exposures, and outputting the final unique viewer count.
Methods, apparatus, systems and articles of manufacture are disclosed for playback using pre-processed profile information and personalization. Example apparatus disclosed herein include a synchronizer to, in response to receiving a media signal to be played on a playback device, access an equalization (EQ) profile corresponding to the media signal; an EQ personalization manager to generate a personalized EQ setting; and an EQ adjustment implementor to modify playback of the media signal on the playback device based on a blended equalization generated based on the EQ profile and the personalized EQ setting.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux
G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
H03F 3/181 - Amplificateurs à basse fréquence, p. ex. préamplificateurs à fréquence musicale
H04N 9/87 - Régénération des signaux de télévision en couleurs
H04N 21/439 - Traitement de flux audio élémentaires
H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
H04R 3/04 - Circuits pour transducteurs pour corriger la fréquence de réponse
67.
METHODS AND APPARATUS TO IDENTIFY MEDIA BASED ON HISTORICAL DATA
Methods, apparatus, systems and articles of manufacture are disclosed to identify media based on historical data. An example method includes: comparing (a) a pitch shifted fingerprint, (b) a time shifted fingerprint, or (c) a resampled fingerprint to a reference fingerprint; in response to a match between any of (a) the pitch shifted fingerprint, (b) the time shifted fingerprint, or (c) the resampled fingerprint and the reference fingerprint, generating indications of (a) a pitch shift value, (b) a time shift value, or (c) a resample ratio that caused the match; in response to collecting broadcast media for a threshold period of time, processing the one or more indications; and in response to a request for a recommendation for information associated with a query, transmitting the recommendation including one or more frequencies of occurrence of (a) the pitch shift value, (b) the time shift value, or (c) the resample ratio.
G06F 16/683 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 16/68 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
68.
METHODS AND APPARATUS FOR USER IDENTIFICATION VIA COMMUNITY DETECTION
Methods, apparatus, systems, and articles of manufacture for user identification via community detection are disclosed. Example instructions, when executed, cause at least one processor to at least access personally identifiable information to device links, build a device graph based on the personally identifiable information to device links, split components of the device graph into person clusters using community detection, create a snapshot including a device-to-person link lookup, and prepare a person-level impression measurement report from the snapshot.
G06F 18/2323 - Techniques non hiérarchiques basées sur la théorie des graphes, p. ex. les arbres couvrants de poids minimal [MST] ou les coupes de graphes
In one example, a method is described. The method includes receiving, from an information presentation device, a sequence of pings. The sequence of pings includes a first ping at a first port number, a second ping at a second port number, and a third ping at a third port number at a streaming meter. The method further includes updating, a system log of the streaming meter, to show the first ping at the first port number, the second ping at the second port number, and the third ping at the third port number; comparing the sequence of pings to a key configuration stored in the streaming meter; and generating, in response to the comparing, a status event. The status event includes device information. The method further includes transmitting, over a network, the status event to a server associated with an audience measurement entity.
H04N 21/441 - Acquisition de l'identification d'un utilisateur final
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
70.
METHODS AND APPARATUS TO DETERMINE AUDIENCE ENGAGEMENT
Methods, apparatus, systems, and articles of manufacture are disclosed. An example system includes: interface circuitry; programmable circuitry; and instructions to program the programmable circuitry to: obtain audio of a media presentation; obtain ambient noise in an area associated with the media presentation; determine an intensity of a difference between the audio and the ambient noise; and determine an engagement level of an audience of the media presentation based on a duration the intensity satisfies a threshold value.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films
71.
Methods and apparatus for efficient media indexing
Methods, apparatus, systems and articles of manufacture are disclosed for efficient media indexing. An example method disclosed herein includes means for initiating a list of hash seeds, the list of hash seeds including at least a first hash seed value and a second hash seed value among other hash seed values, means for generating to generate a first bucket distribution based on the first hash seed value and a first hash function and generate a second bucket distribution based on the second hash seed value used in combination with the first hash seed value, means for determining to determine a first entropy value of the first bucket distribution, wherein data associated with the first bucket distribution is stored in a first hash table and determine a second entropy value of the second bucket distribution.
Example apparatus disclosed herein are to detect a first watermark embedded in an audio stream associated with media, the first watermark embedded and detected based on a first watermarking technique; and detect a second watermark embedded in the audio stream, the second watermark embedded and detected based on a second watermarking technique. Disclosed example apparatus are also to assign the first watermark to a first monitoring track and to a second monitoring track, the first monitoring track limited to watermarks embedded in the audio stream based on the first watermarking technique, the second monitoring track limited to watermarks embedded in the audio stream based on any of the first or second watermarking techniques; group the first and second watermarks to form a media detection event when the second watermark is assigned to the second monitoring track; and cause transmission of the media detection event to a data collection facility.
H04N 21/439 - Traitement de flux audio élémentaires
G10L 19/018 - Mise en place d’un filigrane audio, c.-à-d. insertion de données inaudibles dans le signal audio
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/83 - Génération ou traitement de données de protection ou de description associées au contenuStructuration du contenu
73.
CREDITING EXPOSURE TO MEDIA IDENTIFIED USING SOURCE FILTERING
In one example, a method performed by an audience measurement computing system is described. The method includes determining a source identifier that identifies a media source from which media presented by a media presentation device at a media presentation environment is received. The method also includes using meter hash keys and the source identifier as a basis to select, from stored reference hash keys representing signatures of previously-identified media, a set of reference hash keys that match the meter hash keys and correspond to the source identifier, each reference hash key associated with a corresponding media identifier, where the meter hash keys are generated based on meter signatures representing the media. The method also includes identifying the media based on the set of reference hash keys. The method also includes generating exposure data that credits exposure of an audience member at the media presentation environment to the identified media.
H04N 21/44 - Traitement de flux élémentaires vidéo, p. ex. raccordement d'un clip vidéo récupéré d'un stockage local avec un flux vidéo en entrée ou rendu de scènes selon des graphes de scène du flux vidéo codé
H04H 60/33 - Dispositions de contrôle du comportement ou des opinions des utilisateurs
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
74.
METHODS AND APPARATUS TO DETERMINE IMPRESSIONS USING DISTRIBUTED DEMOGRAPHIC INFORMATION
A method to log impressions is disclosed. The method includes: in response to a first request from a first client device: logging, with a first server, a first impression in association with a first identifier corresponding to media accessed by the first client device that generated the first request, and sending, with the first server, a communication to the first client device, the communication to cause the first client device to send the first identifier to a database proprietor in association with a cookie identifier of the first client device; logging, with the first server, second impressions associated with the first identifier, the second impressions corresponding to access to the media by second client devices, the second impressions logged in response to second requests received from the second client devices; and generating, by executing an instruction with a processor, a report based on the first impression and corresponding first demographic information from the database proprietor, and based on the second impressions and corresponding second demographic information from an audience measurement entity different from the database proprietor.
Examples to determine media impressions using distributed demographic information are disclosed. Some disclosed example methods involve sending a request to an impression monitor system in response to detecting a login event at a client device. The login event is associated with an Internet-based service of a first Internet domain different from a second internet domain of the impression monitor system. Such disclosed example methods also involve sending a login reporting message to a database proprietor that provides the Internet-based service. The login reporting message including first and second cookie identifiers. The first cookie identifier is associated with the first Internet domain of the Internet-based service, and the second cookie identifier is associated with the second Internet domain of the impression monitor system.
Accurately detection of logos in media content on media presentation devices is addressed. Logos and products are detected in media content produced in retail deployments using a camera. Logo recognition uses saliency analysis, segmentation techniques, and stroke analysis to segment likely logo regions. Logo recognition may suitably employ feature extraction, signature representation, and logo matching. These three approaches make use of neural network based classification and optical character recognition (OCR). One method for OCR recognizes individual characters then performs string matching. Another OCR method uses segment level character recognition with N-gram matching. Synthetic image generation for training of a neural net classifier and utilizing transfer learning features of neural networks are employed to support fast addition of new logos for recognition.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes
G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en effectuant des opérations dans des blocs d’imagesExtraction de caractéristiques d’images ou de vidéos en utilisant des histogrammes, p. ex. l’histogramme de gradient orienté [HoG]Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’imageAnalyse de projection
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
77.
METHODS AND SYSTEMS FOR DETECTING STREAMING SOURCES USING SCREEN CAPTURE AND LOGO DETECTION
In one example, a method is described. The method includes receiving a wireless signal from a remote control device; determining that the wireless signal comprises a command sent from the remote control device to a media presentation device, where the media presentation device is configured to provide streaming media to a media output device for presentation in a monitored environment, and where the computing device, the remote control device, the media presentation device, and the media output device are located within the monitored environment; based on the determination that the wireless signal comprises the command sent from the remote control device to the media presentation device, controlling the media output device to capture an image of the streaming media and transmit the image to the computing device; and based on the image, determining source information identifying a streaming service provider as a source of the streaming media.
An example method includes decoding a portion of audio so as to determine, for respective symbol slots of a watermark, current strength values for respective symbols. The method also includes determining, for the respective symbol slots, expected symbols of an expected message. In addition, the method includes determining a current score for the portion of audio using current strength values for the expected symbols and averages of current strength values for unexpected symbols. The method also includes determining an accumulation score for the portion of audio using accumulated strength values for the expected symbols and averages of accumulated strength values for the unexpected symbols. And the method includes, based on a detected divergence between the current score and the accumulation score, reinitializing the accumulated strength values for the expected symbols and the accumulated strength values for the unexpected symbols.
G10L 25/69 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour l’évaluation de signaux de voix synthétiques ou décodés
G10L 19/018 - Mise en place d’un filigrane audio, c.-à-d. insertion de données inaudibles dans le signal audio
79.
IDENTIFYING COMMERCIAL START AND END TIMES USING AD POD PROFILES
In one example, a method is described. The method includes obtaining an advertisement pod. The advertisement pod is a consecutive set of advertisements shown in media content. The method includes identifying transitions in the advertisement pod; and applying, using a model, an advertisement pod profile of a plurality of advertisement pod profiles to the advertisement pod. The plurality of advertisement pod profiles are templates representing advertisement pods, and the advertisement pod profile includes known transitions corresponding to start times and end times of advertisements. The method includes determining that the known transitions of the advertisement pod profile overlap with at least a portion of the transitions of the advertisement pod such that the advertisement pod profile corresponds to the advertisement pod; and outputting data associated with the known transitions of the advertisement pod profile overlapping at least a portion of the transitions of the advertisement pod.
H04N 21/234 - Traitement de flux vidéo élémentaires, p. ex. raccordement de flux vidéo ou transformation de graphes de scènes du flux vidéo codé
H04N 21/262 - Ordonnancement de la distribution de contenus ou de données additionnelles, p. ex. envoi de données additionnelles en dehors des périodes de pointe, mise à jour de modules de logiciel, calcul de la fréquence de transmission de carrousel, retardement de la transmission de flux vidéo, génération de listes de reproduction
80.
METHODS AND APPARATUS TO ASSIGN VIEWERS TO MEDIA METER DATA
Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.
H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films
H04N 21/422 - Périphériques d'entrée uniquement, p. ex. système de positionnement global [GPS]
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
Disclosed example people monitoring methods include detecting a first watermark in a first audio signal obtained from an acoustic sensor, the first watermark identifying media presented by a monitored media device, determining whether a second watermark, different from the first watermark, is embedded in the first audio signal obtained from the acoustic sensor, the second watermark identifying at least one of a mobile device or a user of the mobile device, classifying the second watermark as a media watermark or a people monitoring watermark based on a characteristic of the second watermark, and when the second watermark is determined to be embedded in the first audio signal, reporting at least one of the second watermark or information decoded from the second watermark to identify at least one of the mobile device or the user of the mobile device as being exposed to the media presented by the monitored media device.
G10L 19/018 - Mise en place d’un filigrane audio, c.-à-d. insertion de données inaudibles dans le signal audio
H04H 60/45 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier les utilisateurs
G06F 21/10 - Protection de programmes ou contenus distribués, p. ex. vente ou concession de licence de matériel soumis à droit de reproduction
H04H 60/51 - Dispositions d'identification ou de reconnaissance de caractéristiques en liaison directe avec les informations radiodiffusées ou le créneau spatio-temporel de radiodiffusion, p. ex. pour identifier les stations de radiodiffusion ou pour identifier les utilisateurs pour identifier les sites des stations réceptrices
82.
Classifying Segments of Media Content Using Closed Captioning
In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
Example systems and methods for automated generation of banner images are disclosed. A program identifier associated with a particular media program may be received by a system, and used for accessing a set of iconic digital images and corresponding metadata associated with the particular media program. The system may select a particular iconic digital image for placing a banner of text associated with the particular media program, by applying an analytical model of banner-placement criteria to the iconic digital images. The system may apply another analytical model for banner generation to the particular iconic image to determine (i) dimensions and placement of a bounding box for containing the text, (ii) segmentation of the text for display within the bounding box, and (iii) selection of font, text size, and font color for display of the text. The system may store the particular iconic digital image and banner metadata specifying the banner.
Methods, apparatus, systems and articles of manufacture are disclosed for scalable architectures for reference signature matching and updating. An example method for scalable architectures for reference signature matching and updating includes accessing site signatures to be compared to reference signatures from a first group of media sources. Determining if a first reference node is an owner of a first one of the site signatures. Comparing a neighborhood of site signatures including the first site signature to reference signatures in a first subset of reference signatures when the first reference node is the owner of the first site signature, the first subset of refences signatures stored in a first memory partition associated with the first reference node. Not comparing site signature to reference signatures when the first reference node is not the owner of the first one of the site signatures.
G06F 16/683 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 16/783 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 10/96 - Gestion de tâches de reconnaissance d’images ou de vidéos
85.
METHODS AND APPARATUS TO DETECT MULTIPLE WEARABLE METER DEVICES
Methods, apparatus, systems, and articles of manufacture are disclosed. An example apparatus includes interface circuitry to: obtain primary data from a first meter and a second meter, the primary data including at least one of: (a) acceleration data and (b) short-range wireless communication data; and obtain secondary data from the first meter and the second meter, the secondary data including at least one of: (a) location data and (b) audio data; comparator circuitry to: determine one or more primary factors based on the primary data, the primary factors to include at least one of a correlation coefficient or a difference in connected device sequences; determine one or more secondary factors based on the secondary data; and model executor circuitry to determine, based on the one or more primary factors and the one or more secondary factors, whether the first meter and the second meter correspond to duplicate wear.
An example method is for use in connection with a media device and a motion-detecting device mounted to the media device, and includes: obtaining motion data associated with the motion-detecting device; providing the obtained motion data to a trained classifier, wherein the trained classifier is configured to use at least motion data as runtime input data to generate at least device type data as runtime output data; responsive to providing the obtained motion data to the trained classifier, receiving from the trained classifier corresponding device type data generated by the trained classifier; using at least the received device type data to identify a device type of the media device; using at least the identified device type of the media device as a basis to select a set of configuration parameters for the motion-detecting device; and causing the motion-detecting device to be configured according to the selected set of configuration parameters.
In one aspect, an example computer-implemented method includes (a) receiving, from a first media source, first media content, wherein the first media content is associated with a content ID, (b) identifying second media content associated with a second media source, (c) determining that the second media content is associated with the content ID, (d) determining that the received first media content exceeds a predetermined threshold of one or more parameters, and (e) in response to determining that the received first media content exceeds the predetermined threshold of the one or more parameters, outputting, via a vehicle-based media system, from the second media source, the second media content.
B60K 35/28 - Dispositions de sortie, c.-à-d. du véhicule à l'utilisateur, associées aux fonctions du véhicule ou spécialement adaptées à celles-ci caractérisées par le type d’informations de sortie, p. ex. divertissement vidéo ou informations sur la dynamique du véhiculeDispositions de sortie, c.-à-d. du véhicule à l'utilisateur, associées aux fonctions du véhicule ou spécialement adaptées à celles-ci caractérisées par la finalité des informations de sortie, p. ex. pour attirer l'attention du conducteur
B60K 35/29 - Instruments caractérisés par la manière dont les informations sont traitées, p. ex. présentant des informations sur plusieurs dispositifs d’affichage ou hiérarchisant les informations en fonction des conditions de conduite
88.
SYSTEMS AND METHODS FOR BEHAVIOURAL AND CONTEXTUAL DATA ANALYTICS
System and method for behavioral and contextual data analytics are disclosed. An example computer system to process observational data received from a wireless device includes a memory including machine readable instructions and a processor to execute the instructions to: process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behavior associated with the wireless device; and apply the behavior model to predict a usage duration of a second application in response to usage of a first application.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
G06F 16/26 - Exploration de données visuellesNavigation dans des données structurées
G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
H04L 41/147 - Analyse ou conception de réseau pour prédire le comportement du réseau
89.
METHODS, SYSTEMS, AND DEVICES FOR VEHICLE-BASED MEDIA SYSTEMS
In one aspect, an example computer-implemented method includes (a) receiving, from a first media source, first media content, wherein the first media content is associated with a content ID, (b) identifying second media content associated with a second media source, (c) determining that the second media content is associated with the content ID, (d) determining that the received first media content exceeds a predetermined threshold of one or more parameters, and (e) in response to determining that the received first media content exceeds the predetermined threshold of the one or more parameters, outputting, via a vehicle-based media system, from the second media source, the second media content.
H04B 17/336 - Rapport signal/interférence ou rapport porteuse/interférence
H04L 65/611 - Diffusion en flux de paquets multimédias pour la prise en charge des services de diffusion par flux unidirectionnel, p. ex. radio sur Internet pour la multidiffusion ou la diffusion
Methods and apparatus disclosed herein can be used to perform co-viewer adjustment. An example apparatus or viewership adjustment includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to determine compliant and non-compliant household panel meter data based on household metrics for past household viewing behavior, adjust undercounted viewership data based on an active media session interval associated with the household metrics, adjust overcounted viewership data based on a viewership model, the viewership model trained using the compliant household panel meter data, and output adjusted viewership data based on the adjusted undercounted viewership data and adjusted overcounted viewership data.
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films
91.
METHODS AND APPARATUS TO DETERMINE A FREQUENCY DISTRIBUTION FOR DATA IN A DATABASE
Disclosed examples access data from a database, the data stored across multiple registers of the database; determine (a) a maximum rank for each of the multiple registers and (b) a maximum rank count for each of the multiple registers; determine a frequency distribution based on the maximum ranks and the maximum rank counts; and generate a report including at least one of the frequency distribution, the maximum ranks, or the maximum rank counts.
Methods, apparatus, systems, and articles of manufacture are disclosed to determine a duration of media presentation based on tuning session duration. Example apparatus a receiver to obtain a first tuning session duration indicative of an amount of time between channel changes of a first media presentation device at a first media presentation location, a presentation session estimator to select a model from storage, the model selected based on a match of the first tuning session duration and a second tuning session duration, the model including a relation between the second tuning session duration and a first presentation session duration of media presented on a second media presentation device at a second media presentation location, and estimate a second presentation session duration of media presented within the first tuning session duration based on the model.
H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films
93.
Detection of Surfing Activity as Basis to Reduce Inconclusive Media-Exposure Characterization
A method and system for measuring media-surfing activity. An example method includes a computing system receiving reporting of packet-data activity at a panelist site. Further, the example method includes the computing system using at least the received reporting of packet-data activity at the panelist site as a basis to detect occurrence of media-surfing activity at the panelist site, where the media-surfing activity comprises a user surfing through one or more content-selection menus. Still further, the example method includes the computing system reporting the detected occurrence of media-surfing activity at the panelist site as media-exposure data. In further implementations, the method additionally includes the computing system using signature matching as a further basis to detect the occurrence of media-surfing, such as by detecting through the signature matching the presentation of streaming media content for a threshold short duration suggestive of a program preview when a user is engaged in media-surfing.
Methods and systems for modification of electronic system operation based on acoustic ambience classification are presented. In an example method, at least one audio signal present in a physical environment of a user is detected. The at least one audio signal is analyzed to extract at least one audio feature from the audio signal. The audio signal is classified based on the audio feature to produce at least one classification of the audio signal. Operation of an electronic system interacting with the user in the physical environment is modified based on the classification of the audio signal.
G10L 15/20 - Techniques de reconnaissance de la parole spécialement adaptées de par leur robustesse contre les perturbations environnantes, p. ex. en milieu bruyant ou reconnaissance de la parole émise dans une situation de stress
G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
G10L 25/48 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier
H03G 3/00 - Commande de gain dans les amplificateurs ou les changeurs de fréquence
H03G 3/30 - Commande automatique dans des amplificateurs comportant des dispositifs semi-conducteurs
95.
HOUSEHOLD DEMOGRAPHIC ASSIGNMENT USING TARGETS THAT ACCOUNT FOR PROVIDER OVERLAP
An example method includes determining, for each of multiple digital media providers, respective estimated distributions of a characteristic for a television viewing area. The method also includes determining respective reach values based on a universe estimate for the television viewing area. In addition, the method includes determining a distribution of subscribers across overlapping combinations of the digital media providers. The method also includes determining, for each of the multiple digital media providers based on the distribution of subscribers, respective mixed provider fractions relative to a total provider fraction for the digital media provider. The method further includes determining, using a constrained optimization routine, target distributions of the characteristic for combinations of the digital media providers. And the method includes using the target distributions as a basis for assigning values of the characteristic to households that are subscribes of the digital media providers and located in the television viewing area.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
96.
METHODS AND APPARATUS FOR NETWORK-BASED MONITORING AND SERVING OF MEDIA TO IN-VEHICLE OCCUPANTS
Example methods, apparatus, systems, and articles of manufacture are disclosed for network-based monitoring and serving of media to in-vehicle occupants. An example method includes linking panelist data corresponding to media exposure to first telemetry data collected by a vehicle to create linked panelist-telemetry data; and training a neural network to estimate vehicle occupant demographics based on second telemetry data using a first subgroup of the linked panelist-telemetry data.
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p. ex. véhicule à nuage ou véhicule à domicile
97.
Use of Steganographically-Encoded Data as Basis to Disambiguate Fingerprint-Based Multi-Match
The disclosure provides for use of steganographically-encoded data as a basis to disambiguated a fingerprint-based channel-multimatch. A fingerprint-matching server or other entity could detect a channel-multi-match scenario by determining that query fingerprints representing media content being rendered by a content presentation device match reference fingerprints respectively representing multiple channels. In view of that detected channel-multi-match scenario, the content presentation device could then provide channel-identification information that the content presentation device extracts from a watermark that is steganographically encoded in the media content of the channel that the content presentation device is rendering, for use of the extracted channel-identification information to determine which channel the content presentation device is rendering. Identifying the channel being rendered could then facilitate channel-specific action, such as then detecting a content-modification opportunity on the identified channel and preparing and enabling the content presentation device to carry out an associated content modification.
H04N 21/2389 - Traitement de flux multiplexé, p. ex. cryptage de flux multiplexé
H04N 21/234 - Traitement de flux vidéo élémentaires, p. ex. raccordement de flux vidéo ou transformation de graphes de scènes du flux vidéo codé
H04N 21/435 - Traitement de données additionnelles, p. ex. décryptage de données additionnelles ou reconstruction de logiciel à partir de modules extraits du flux de transport
In one example, a method is described. The method includes receiving, at a meter, audio data associated with media content from a media device; determining a language associated with the media content based on a media content voice analysis; assigning a language identifier associated with the language; and creating a meter event for the language identifier by tagging the audio data with metadata corresponding to the language identifier.
Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes at least one memory, first instructions in the apparatus, and processor circuitry to execute the first instructions. The first instructions, when executed, are to: instruct a media provider to include second instructions in an application to create an instrumented application and receive data from a media device based on the media device executing the second instructions.
G06Q 30/0242 - Détermination de l’efficacité des publicités
H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
100.
SYSTEMS, APPARATUS, AND RELATED METHODS TO ESTIMATE AUDIENCE EXPOSURE BASED ON ENGAGEMENT LEVEL
Methods, apparatus, and systems are disclosed for estimating audience exposure based on engagement level. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to identify a user activity associated with a user during exposure of the user to media based on an output from at least one of a user device, a remote control device, an image sensor, or a motion sensor, classify the user activity as an attention-based activity or a distraction-based activity, assign a distraction factor or an attention factor to the user activity based on the classification, and determine an attention level for the user based on the distraction factor or the attention factor.
H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films
H04N 21/442 - Surveillance de procédés ou de ressources, p. ex. détection de la défaillance d'un dispositif d'enregistrement, surveillance de la bande passante sur la voie descendante, du nombre de visualisations d'un film, de l'espace de stockage disponible dans le disque dur interne
