A method of processing a cover page image of multimedia information, a client and an electronic device are provided. The method includes acquiring initial cover page images of N pieces of second multimedia information following first multimedia information, where the first multimedia information is displayed on a current display interface of the client, the N pieces of second multimedia information are not displayed on the current display interface of the client, and N is an integer greater than or equal to 1, performing a super-resolution processing on the initial cover page images of the N pieces of second multimedia information, to obtain super-resolution cover page images of the N pieces of second multimedia information, and displaying the super-resolution cover page images of the second multimedia information, in a case that the second multimedia information enters the current display interface.

A multidimensional system for generating a multimedia search engine is provided. A computer device identifies a plurality of independently separable aspects of a multimedia file. The computing device provides at least one independently separable aspect of the plurality of independently separable aspects as input into an object detection model. The computing device receives, from the object detection model, an identification of at least one object and a corresponding level of confidence that the object is present in the multimedia file. The computing device classifies the object as either confident or not confident, based on whether the level of confidence meets a threshold level of confidence. The computing device generates a multimedia search engine based, at least in part, on the object and the classification.

A device communicates via Wi-Fi with a central function device. The function device has information regarding all the various remote controls needed by the consumer. The function device communicates wirelessly with the device and in turn then operates all of the consumer's electronic devices.

Examples of the present disclosure describe systems and methods for content-based multimedia retrieval with attention-enabled local focus. In aspects, a search query comprising multimedia content may be received by a search system. A first semantic embedding representation of the multimedia content may be generated. The first semantic embedding representation may be compared to a stored set of candidate semantic embedding representations of other multimedia content. Based on the comparison, one or more candidate representations that are visually similar to the first semantic embedding representation may be selected from the stored set of candidate semantic embedding representations. The candidate representations may be ranked, and top ‘N’ candidate representations (or corresponding multimedia items) may be retrieved and provided as search results for the search query.

A browser device communicates via Wi-Fi with a central function device. The function device has information regarding all the various remote controls needed by the consumer. The function device communicates wirelessly with the browser device and in turn then operates all of the consumer's electronic devices.

Example embodiments described herein relate to an icon based tagging system to associate a graphical icon (e.g., an emoji) with a data category, receive media content that includes a data object and the graphical icon, assign the media content to the data category based on the presence of the graphical icon within the media content, receive a search request that comprises search criteria that includes at least the graphical icon, and present a set of search results that include the media content in response to the search request.

A server may communicatively couple to a user device and an instructor device. The server may receive location information from the user device. The location information may define visual content captured by the user device. The server may transmit the location information to the instructor device. The instructor device may present the visual content based on the received location information and receive input defining an instruction from an instructor. The server may receive instruction information defining the instruction from the instructor device. The server may transmit the instruction information to the user device. The user device may present the instruction overlaid on top of the visual content based on the received instruction information.

A non-transitory computer-readable medium includes computer-executable instructions that, when executed by at least one processor, may cause the at least one processor to retrieve a first training profile of a plurality of training profiles from a database, identify a plurality of index keywords in a respective training content of the first training profile, in which the respective training content includes audio data, video data, or both, and divide the first training profile into a plurality of sections based on the plurality of index keywords. Each of the plurality of sections is selectable for playback.

Provided are a search result presentation method, a readable medium and a terminal device. The search result presentation method includes steps described below. In response to a search instruction for a target entity object, at least one multimedia resource for presenting the use effect of the target entity object is acquired, where the at least one multimedia resource is obtained based on multimedia content corresponding to the target entity object; and the at least one multimedia resource is presented.

A non-transitory computer readable storage medium has instructions executed by a processor to receive via a network an uploaded image from an augmented reality posting machine. The uploaded image is indexed to form an indexed uploaded image. Augmented reality experience parameters are collected from the augmented reality posting machine via the network. The augmented reality experience parameters are associated with the indexed uploaded image. An uploaded video is received via the network. The uploaded video is encoded to a video stream format. The video stream format is associated with the indexed uploaded image and the augmented reality experience parameters to form an augmented reality experience object. A scanned image is received from an augmented reality client machine. The scanned image is matched with the indexed uploaded image to initiate execution of the augmented reality experience object to form a video stream conveyed via the network to the augmented reality client machine.