A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as What do rustic items look like?, and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.

A method and electronic mobile device display imaging satellite information on a screen of the mobile device. A viewing direction and angle of a camera of the mobile device, a location of the mobile device, and orbit information for satellites in a vicinity of the mobile device are all determined. Satellite tracks for each of the satellites determined to be in the vicinity of the mobile device are then computed based on the location of the mobile device, the viewing direction and angle of the camera of the mobile device, and the orbit information corresponding to each of the respective one or more satellites. A graphical representation of the computed satellite tracks may then be displayed on a display screen of the mobile device as an overlay over a real world image being captured in real time by the camera of the mobile device.

Systems and methods of the present disclosure are directed to analyzing screenshots A system can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.

A server (20) stores person information in which a feature of an appearance and a feature of a motion of a person extracted from a video are associated with each other, searches for the person information using input information received from a terminal apparatus (10) as a key, and returns a search result to the terminal apparatus (10). The terminal apparatus (10) acquires and stores a part or a whole of the person information stored in the server (20) from the server (20), performs a search using the input information as a key, and displays the search result on a display as a candidate of information to be input in an input field.

A search system provides search results with images of products based on associations of primary products and secondary products from product image sets. The search system analyzes a product image set containing multiple images to determine a primary product and secondary products. Information associating the primary and secondary products are stored in a search index. When the search system receives a query image containing a search product, the search index is queried using the search product to identify search result images based on associations of products in the search index, and the result images are provided as a response to the query image.

Methods, systems, and apparatus for processing image content items. In one aspect, a method includes receiving a set of search query suggestions, each search query suggestion being based on the search query and different from the search query; receiving data identifying a respective set of resources determined to be responsive to the search query; for each search query suggestion: receiving data identifying resources determined to be responsive to the search query suggestion and determining if the respective set of resources determined to be responsive to the search query suggestion meets an overlap threshold; for only each search query suggestion for which the respective set of resources is not determined to meet the overlap threshold: selecting a subset of resources of the respective set of resources determined to be responsive to the search query suggestion as a representative resource set and generating data depicting the representative resource set.

Digital asset association techniques with search query data are described. In one example, A first digital asset is displayed at a location within digital content in a user interface. The location is specified using placeholder data of the digital content. An input is received via selection of an option as part of the user interface to initiate a search. Search query data associated with the placeholder data is obtained in response to the input. A search is initiated for a second digital asset using the search query data. The second digital asset is displayed at the location within the digital content in the user interface as specified by the placeholder data.

At least one processor of a computing device may determine relevancy metadata associated with of images stored in an imagery processing system. The at least one processor may determine one or more active retention policies for the images based at least in part on the relevancy metadata, wherein the one or more active retention policies include one or more rulesets that are applied to the relevancy metadata. The at least one processor may determine retention priority values associated with the images stored in the imagery processing system based at least in part on the one or more active retention policies. The at least one processor may manage retention of the images in the imagery processing system based at least in part on the retention priority values associated with the images.

The present disclosure describes a device for transporting waste or recyclable material. An example device may include a base and a collapsible sleeve, wherein the collapsible sleeve is movable between an open state and a collapsed state. The collapsible sleeve is structured to interface, in the open state, with the base to form a bin for receiving and transporting waste or recyclable material. The example device may further include an RFID as part of the base or the collapsible sleeve.

The present disclosure describes a device for transporting waste or recyclable material. An example device may include a base and a collapsible sleeve, wherein the collapsible sleeve is movable between an open state and a collapsed state. The collapsible sleeve is structured to interface, in the open state, with the base to form a bin for receiving and transporting waste or recyclable material. The example device may further include an RFID as part of the base or the collapsible sleeve.