Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

Disclosed are a system, method and software to associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

Systems, methods, and non-transitory computer-readable media can store a set of image portions that forms an image at a specified resolution. A request for the image can be acquired from a client device. The request can include information about one or more properties associated with the client device. A subset of image portions can be selected out of the set of image portions based on the one or more properties associated with the client device. The subset of image portions can be transmitted to the client device in response to the request.

An object recognition system includes a storage device, a reading unit, an output device, and a processor. The storage device stores a dictionary containing attributes of a plurality of registered objects. The attributes includes at least a category and feature values. The reading unit includes an image capturing device. The processor registers a new object by (i) extracting a feature value of the new object from an image of the new object captured by the image capturing device, (ii) comparing the extracted feature value with feature values of registered objects that are registered in the dictionary to calculate a similarity degree therebetween, (iii) registering the extracted feature value in the dictionary as a determination criteria for an object recognition, and (iv) outputting a notification through the output device prior to the registering, upon a result of the comparing meets a predetermined condition.

An object recognition system includes a storage device, a reading unit, an output device, and a processor. The storage device stores a dictionary containing attributes of a plurality of registered objects. The attributes includes at least a category and feature values. The reading unit includes an image capturing device. The processor registers a new object by (i) extracting a feature value of the new object from an image of the new object captured by the image capturing device, (ii) comparing the extracted feature value with feature values of registered objects that are registered in the dictionary to calculate a similarity degree therebetween, (iii) registering the extracted feature value in the dictionary as a determination criteria for an object recognition, and (iv) outputting a notification through the output device prior to the registering, upon a result of the comparing meets a predetermined condition.

A method for location validation through physical surroundings is described. In one embodiment, the method includes receiving a location of a user device, transmitting to the user device, a request for additional information, receiving the additional information from the user device in response to the request, the second identifier matching the first identifier, comparing the received additional information with stored data pre-associated with the received location, and verifying the received location based at least in part on the comparing. In some embodiments, the request for additional information includes at least one of a request for a first image captured at a first direction, a request for a second image captured at a second direction, a request for a third image captured at a pre-determined tilt angle, a request for a stream of images captured in a pre-determined pattern, or any combination thereof.

A system and method for presenting video asset information to a viewer to assist the view in selecting a video asset for viewing. The video assets can be available from a plurality of different video asset sources, such as VOD (video on demand), PVR (personal video recorders) and broadcast (including over the air, cable, and satellite). Images from the video assets are displayed in a uniform manner, along with information about the video assets. The information includes data in a metadata category. The view can select one of the video assets for viewing, but also can navigate using metadata categories such as genre, actors, director etc. This allows a much easier and natural navigating and selection process for viewers.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using location data to identify and provide services in association with items appearing in captured images. One of the methods includes receiving, from a device, an image and location data representing the device's physical location, determining, based on the location data, that a particular set of one or more locations are within a threshold distance of the device's physical location, accessing, for each of the one or more locations in the particular set, item information that indicates one or more items that are associated with the location, determining, based on the accessed item information, that the image likely shows a particular item that is associated with one or more locations in the particular set, and providing, to the device, instructions for presentation of information about (i) the particular item and (ii) one or more locations in the particular set that are associated with the particular item.

Provided are a device and a method for acquiring music information about music played in an electronic device, acquiring a storyline of the music based on the music information, and acquiring and displaying one or more images based on the storyline.

The present invention provides a model generation method, word weighting method, device, apparatus, and computer storage medium. In one aspect, the embodiments of the present invention obtain other images that are identical to a specified image, and use the specified image and said other images as sample images; and then obtain a text clustering based on the texts of the sample images; and then obtain text features based on the text clustering and obtaining visual features based on the sample images; and carry out machine learning based on the text features and the visual features to generate a first regression model and a first sorting model for word weighting on words in the text of an image. The embodiments of the present invention therefore can improve the accuracy of the word weighting result in an image text, thus improving the accuracy of an image search result.