Abrégé

The present invention relates to a method and a device for recognizing a subject's emotion on basis of deep learning, wherein an outward feature and a visual feature of a subject included in image data are used to obtain the subject's emotional feature, and an emotion can be easily recognized on the basis of the obtained emotional feature. According to the present invention, the emotion of a subject included in image data can be easily identified, a subject's emotion can be automatically and precisely extracted by using an outward feature recognition module, a visual feature recognition module, and an emotion recognition module, and subject classification can be easily accomplished by clustering subjects having similar outward features.

Classes IPC  ?

• 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
• G06F 16/732 - Formulation de requêtes
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

Provided are a method, apparatus, and program for obtaining abstract characteristics of image data. A method for obtaining characteristics of image data, according to an embodiment of the present invention, comprises the steps of: calculating, by a server, abstract characteristics by inputting a plurality of individual appearance characteristics calculated for image data into an abstract characteristic recognition model; and generating, by the server, appearance descriptive data by combining the calculated plurality of individual appearance characteristics and abstract characteristics, wherein the individual appearance characteristics express various appearance characteristics in an appearance classification criteria that is a specific classification criteria for describing the appearance of an object, and the abstract characteristics may comprise first emotional characteristics that are recognized on the basis of the appearance of the object.

Classes IPC  ?

• 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
• G06F 16/735 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06F 16/75 - GroupementClassement
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

Provided are an image data retrieval method, device and program using a deep learning algorithm. The image data retrieval method according to an embodiment of the present invention may comprise the steps of: a server calculating individual appearance characteristics for a plurality of appearance classification criteria by inputting image data to an appearance characteristic recognition model; and the server generating appearance description data by combining the plurality of individual appearance characteristics calculated with respect to the image data, wherein the appearance classification criteria are specific classification criteria for describing the appearance of a specific object and comprise the plurality of individual appearance characteristics expressing various appearance characteristics of the object within the same classification criteria.

Classes IPC  ?

• 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
• G06F 16/735 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06F 16/75 - GroupementClassement
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

Provided are a method for obtaining user interest information on the basis of input image data and a method for customizing a design of an object. A method for obtaining user interest information on the basis of input image data, according to one embodiment of the present invention, comprises: a step in which a server inputs first input image data into an appearance characteristic recognition model and calculates individual appearance characteristics for a plurality of appearance classification criteria; a step in which the server generates first appearance description data by combining a plurality of the individual appearance characteristics with respect to the first input image data; and a step in which the server generates and outputs first output image data on the basis of the first appearance description data, wherein the first input image data is image data inputted by a specific user, and the appearance classification criteria are specific classification criteria for describing the appearance of a specific object and may include a plurality of individual appearance characteristics for expressing various appearance characteristics within the same classification criteria of the object.

Classes IPC  ?

• 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
• G06F 16/735 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d'utilisateurs ou de groupes
• G06F 16/75 - GroupementClassement
• G06Q 30/06 - Transactions d’achat, de vente ou de crédit-bail
• G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
• G06N 3/08 - Méthodes d'apprentissage