A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Techniques for image-based search using touch controls are described. An apparatus may comprise: a processor circuit; a gesture component operative on the processor circuit to receive gesture information from a touch-sensitive screen displaying an image and generate a selection area corresponding to the gesture information; a capture component operative on the processor circuit to extract an image portion of the image corresponding to the selection area; and a search component operative on the processor circuit to perform an image-based search using the extracted image portion. Other embodiments are described and claimed.

Techniques for image-based search using touch controls are described. An apparatus may comprise: a processor circuit; a gesture component operative on the processor circuit to receive gesture information from a touch-sensitive screen displaying an image and generate a selection area corresponding to the gesture information; a capture component operative on the processor circuit to extract an image portion of the image corresponding to the selection area; and a search component operative on the processor circuit to perform an image-based search using the extracted image portion. Other embodiments are described and claimed.

Technologies are provided to supply image assets for presentation at a client device. Some embodiments include a computing device that can determine that multiple image assets to be presented in a user interface are unavailable within a non-volatile storage device of the computing device. The computing device can then generate a request for an image sprite containing the multiple image assets, and can send the request to a content source platform. The request identifies the multiple image assets. The computing device can receive, from the content source platform, the image sprite and metadata corresponding to the image sprite. The metadata defines attributes of the multiple image assets. The computing device can store the metadata in the non-volatile storage device, and can extract, using the metadata, the multiple image assets from the image sprite. The computing device can present the multiple assets during presentation of the user interface.

Technologies are provided to supply image assets for presentation at a client device. Some embodiments include a computing device that can determine that multiple image assets to be presented in a user interface are unavailable within a non-volatile storage device of the computing device. The computing device can then generate a request for an image sprite containing the multiple image assets, and can send the request to a content source platform. The request identifies the multiple image assets. The computing device can receive, from the content source platform, the image sprite and metadata corresponding to the image sprite. The metadata defines attributes of the multiple image assets. The computing device can store the metadata in the non-volatile storage device, and can extract, using the metadata, the multiple image assets from the image sprite. The computing device can present the multiple assets during presentation of the user interface.

An information processing unit includes: a diagnostic image input section that inputs the diagnostic image; an operation information obtaining section that obtains display operation history information representing an operation history of a user who controls displaying of the diagnostic image; a query image generation section that extracts a predetermined region of the input diagnostic image to generate a query image; a diagnosed image obtaining section that supplies the generated query image and the display operation history information to a diagnosed image search unit and obtains the diagnosed image obtained as a search result by the diagnosed image search unit; and a display control section that displays the diagnostic image and the obtained diagnosed image for comparison.

A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

The present invention provides a method and device for acquiring a similar human face picture and acquiring information about a human face picture. It mainly relates to the field of Internet technology, and mainly aims to provide the user a similar human face picture including a similar person when a similar picture is provided. The method comprising: acquiring a human face picture specified by a user; conducting human face identification to the human face picture to identify a similar human face picture of the human face picture from human face pictures that have already been collected; and displaying the similar human face picture to the user.

An object is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.

The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly identifying digital images with similar style to a query digital image using fine-grain style determination via weakly supervised style extraction neural networks. For example, the disclosed systems can extract a style embedding from a query digital image using a style extraction neural network such as a novel two-branch autoencoder architecture or a weakly supervised discriminative neural network. The disclosed systems can generate a combined style embedding by combining complementary style embeddings from different style extraction neural networks. Moreover, the disclosed systems can search a repository of digital images to identify digital images with similar style to the query digital image. The disclosed systems can also learn parameters for one or more style extraction neural network through weakly supervised training without a specifically labeled style ontology for sample digital images.