A method for searching a video and equipment with a video search function are provided. The method for searching a video includes constructing a video DB by analyzing continuity of a tag given to an appearing object and extracting section information about the tag, and detecting video information. An object may be recognized, a video database may be constructed, and a video may be searched on the basis of analysis based on an artificial intelligence (AI) model through a 5G network.

A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.

Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Systems and methods are described herein for a media guidance application that detects, and responds to, a user's review of video content on a media device. The media guidance application detects a rewind operation during playback of a video comprising a media asset. In response, the media guidance application determines if the playback position reached during the rewind operation occurs during a first break in the media asset and, if so, identifies objects depicted in the video at the playback position, and presents auxiliary video relating to an object at a second break in the media asset.

A storage system and method for optimized surveillance search are provided. In one embodiment, a storage system is provided comprising a memory and a controller. The controller is configured to: receive, from a host, an image of an object and a logical block address range of video data stored in the memory; search for the image of the object in video data in the logical block address range; and provide the host with possible hits from the search. Other embodiments are provided.

In one or more implementations, video content generated using a client application may be provided to users of the client application in association with one or more products offered for purchase via the client application. Video content items presented to a user may be identified based on a level of interest of the user in relation to the respective video content items. A level of interest of the user in relation to a video content item may be based on profile information of the user.

Techniques for prioritization of media related to an incident are provided. Confirmed incident related media may be retrieved, the confirmed incident related media having been confirmed as being associated with the incident. Artifacts of interest may be identified in the confirmed incident related media. Presence of the artifacts of interest in a plurality of received media may be determined. The plurality of received media may be prioritized based on the presence of the artifacts of interest.

Methods and systems for filtering video content items are described herein. The system identifies a plurality of video content items that are linked to respective image content items. The system determines, for each of the plurality of video content items, whether a video content item corresponds to a respective image content item. The system causes to be provided information identifying the plurality of video content items. For each video content item of the plurality of video content items that corresponds to a respective image content item, the system causes to be provided an indicator that correspondence has been verified.

Methods and systems for filtering video content items are described herein. The system identifies a plurality of video content items that are linked to respective image content items. The system determines, for each of the plurality of video content items, whether a video content item corresponds to a respective image content item. In response to the determining, the system causes to be provided information identifying the plurality of video content items excluding video content items that do not correspond to respective image content items.

Aspects of the disclosure provide a method and an apparatus for training a feature extraction model, a computer device, and a computer-readable storage medium that belong to the field of video processing technologies. The method can include detecting a plurality of images in one or more sample videos and obtaining at least two images including the same object. The method can further include determining the at least two images including the same object as sample images, and training according to the determined sample images to obtain the feature extraction model, where the feature extraction model is used for extracting a video feature of the video.