Method and apparatus for searching for target person in video

Abstract

The invention discloses a method and an apparatus for searching for a target person in a video. The method for searching for the target person in the video comprises the steps of receiving target person information and a to-be-checked video, wherein the target person information comprises a name and / or a photo of the target person; determining a template corresponding to the target person according to the target person information; segmenting the to-be-checked video into a plurality of key frame images; screening out a plurality of human face-containing frame images from the key frame images based on a human face identification algorithm; and determining a target person-containing frame image in the human face-containing frame images according to the template, and obtaining time information, in the to-be-checked video, of the target person-containing frame image. According to the method and the apparatus for searching for the target person in the video, provided by embodiments of the invention, a sensitive person in the video can be quickly and conveniently found out, so that the identification efficiency is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for searching a target person in a video. Background technique [0002] When TV stations produce programs, they usually use some historical materials. For political video programs, program review is required before broadcasting. If it is found that sensitive persons appear in the video, the video is not allowed to be played. At present, manual review of videos is mainly performed by specialized program reviewers, which is time-consuming and laborious, and the work efficiency is low. Moreover, the amount of video material data is large, and there may only be a sensitive task in one shot, which is easy to miss during manual review. Although image recognition technology can be used to identify sensitive persons, it can only identify positive faces, and the recognition speed is slow and the efficiency is low. Contents of the invention [0003] The present ...

AI Technical Summary

Problems solved by technology

At present, manual review of videos is mainly performed by specialized program reviewers, which is time-consuming and labor-intensive, and the work efficiency is low

Moreover, the amount of video material data is large, and there may only be a sensitive task in one shot, which is easy to miss during manual review

Although image recognition technology can be used to identify sensitive persons, it can only identify positive faces, and the recognition speed is slow and inefficient

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