A system and a method for automatically identifying key dialogues in media is disclosed herein. In the method disclosed herein, the key dialogues engine receives the media asset and extract transcript data and supplementary data. The key dialogues engine processes the transcript data into a plurality of transcript data elements and associate the transcript data elements with respective data elements selected from the supplementary data. The key dialogues engine identifies one or more key dialogues from the associated transcript data elements based on configurable criteria, in operable communication with one or more of a plurality of data sources, wherein the configurable criteria comprises one or more of repetitive keywords, rhyming words, audio signal levels, matching keywords, text-based sentiments, dialogue similarity, repetitive dialogues, signature dialogues, entry dialogues recited by actors comprising protagonists and antagonists, faces of the actors, celebrity detection, image labels, and vector similarity scores.

Methods, apparatus, systems and machine-readable storage media of an edge computing device which is enabled to access and select the use of local or remote acceleration resources for edge computing processing is disclosed. In an example, an edge computing device obtains first telemetry information that indicates availability of local acceleration circuitry to execute a function, and obtains second telemetry that indicates availability of a remote acceleration function to execute the function. An estimated time (and cost or other identifiable or estimateable considerations) to execute the function at the respective location is identified. The use of the local acceleration circuitry or the remote acceleration resource is selected based on the estimated time and other appropriate factors in relation to a service level agreement.

Systems, methods and non-transitory computer readable media for generating looped video clips are provided. A still image may be received. The still image may be analyzed to generate a series of images. The series of images may include at least first, middle and last images. The first image may be substantially visually similar to the last image, and the middle image may be visually different from the first and last images. The series of images may be provided. Playing the series of images in a video clip that starts with the first image and finishes with the last image, and repeating the video clip from the first image immediately after completing the playing of the video clip with the last image may create visually smooth transaction in which the transition from the last image to the first image is visually indistinguishable from the transactions between frames within the video clip.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating a monitoring system with one or more air quality sensors. The method includes obtaining a request that includes an indication of an appearance of an object, selecting a first set of images in an initial modality based on the indication of the appearance of the object, determining an additional set of images in a different modality based on mappings between the first set of images and the additional set of images; and providing the first set of images and the additional set of images in response to the request.

Systems and methods for identifying related videos based on elements tagged in the videos are presented. In an aspect, a system includes an identification component configured to identify tagged elements in a video, a matching component configured to identify other videos that include one or more of the tagged elements, and a recommendation component configured to recommend the other videos for viewing based on a current or past request to play the video.

A retrieval device includes one or more processors. The processors acquire trajectory information indicating a movement trajectory of a target in time-series images. The processors acquire situation information indicating a peripheral situation of the target in the time-series images. The processors acquire a retrieval query containing a movement trajectory and a peripheral situation. The processors retrieve an image matching with the retrieval query among images contained in the time-series images based on the trajectory information and the situation information.

A face image retrieval method includes: obtaining to-be-retrieved face information corresponding to a to-be-retrieved image by a convolutional neural network, the convolutional neural network being configured with corresponding convolution calculation configuration information by a processor, the convolutional neural network including at least one convolutional layer, the convolution calculation configuration information including a data bit width value corresponding to each convolutional layer in the convolutional neural network, and the to-be-retrieved image including at least one face region; searching a database for matched preset face image information that matches the to-be-retrieved face information, the database storing at least one piece of preset face image information; and outputting the preset face image information that matches the to-be-retrieved face information.

An image processing method and apparatus, and a storage medium are provided. The method includes: recognizing a feature of a real object from obtained image data, the image data describing an environment of a local client that includes the real object or an environment of a peer client that includes the real object; querying a server providing services to a social network by using the feature of the real object; determining that the real object has a corresponding attribute in the social network; obtaining an augmented reality (AR) model adaptive to the real object based on the attribute of the object in the social network; rendering a first image according to the obtained image data; and rendering a virtual object in the AR model according to a position of the real object in the first image, to jointly display the real object and the virtual object.

A method of managing a media file storage relocation and/or editing process that comprises receiving location data indicative a user geographical location of users during a monitored period and a capturing/uploading geographical location and time of each media file, using the file capturing/uploading geographical location and time to identify a spatiotemporal proximity of a group from the users to respective the media file capturing/uploading geographical location of one or more of the media files during a respective the media file capturing/uploading time, detecting member(s) of the group which is imaged in the one or more media files using a recognition function, such as a face and/or voice recognition functions and in response to the detecting, initiating a media file storage relocation process and/or an editing process.

An image processing method and apparatus, and a storage medium are provided. The method includes: recognizing a feature of a real object from obtained image data, the image data describing an environment of a local client that includes the real object or an environment of a peer client that includes the real object; querying a server providing services to a social network by using the feature of the real object; determining that the real object has a corresponding attribute in the social network; obtaining an augmented reality (AR) model adaptive to the real object based on the attribute of the object in the social network; rendering a first image according to the obtained image data; and rendering a virtual object in the AR model according to a position of the real object in the first image, to jointly display the real object and the virtual object.