Video plagiarism detection method and device, equipment and medium

Abstract

The invention discloses a video plagiarism detection method, and the method comprises the steps: obtaining at least one base library video and query video, carrying out interval frame extraction to acquire a plurality of base library images and a plurality of query images; and inputting the plurality of base library images and the plurality of query images into a convolutional neural network for feature extraction to acquire base library video frame features and query video frame features; obtaining the similarity between each query video frame feature and each base library video frame feature, and taking the base library video frames of which the similarity is higher than a first preset threshold as neighbor matching frames; classifying the neighbor matching frames according to the codingidentifiers to generate at least one base library video frame set; selecting the base library video corresponding to the at least one base library video frame set as a candidate video; and forming avideo pair by the query video and each candidate video, and searching a suspected plagiarism fragment in each matched video pair through a network flow algorithm. In addition, the invention also provides a video plagiarism detection device, equipment and a medium.

Description

technical field [0001] The present invention relates to the technical field of video detection, in particular to a video plagiarism detection method, device, equipment and medium. Background technique [0002] With the emergence of a large number of videos on the Internet, video plagiarism has become an important problem. Video producers can use various video editing software to achieve rapid video production, but often because the reference material is too large or only slightly modified in form (such as zooming, cutting, mirroring, etc.), resulting in the proliferation of plagiarized videos , Followed by infringement disputes and commercial disputes and other issues. However, due to the large number of videos on the Internet, it is unrealistic to judge plagiarism completely manually. Therefore, it is particularly important to hand over video plagiarism to computer equipment for automatic judgment. [0003] But as far as the existing video plagiarism detection algorithm i...

AI Technical Summary

Problems solved by technology

Video producers can use various video editing software to achieve rapid video production, but often because the reference material is too large or only slightly modified in form (such as zooming, cutting, mirroring, etc.), resulting in the proliferation of plagiarized videos , followed by issues such as infringement disputes and commercial disputes

However, due to the large number of videos on the Internet, it is unrealistic to judge plagiarism completely manually. Therefore, it is particularly important to hand over video plagiarism to computer equipment for automatic judgment.

[0003] But as far as the existing video plagiarism detection algorithm is concerned, it is not ideal in terms of detection accuracy and detection speed, so there is an urgent need for a video plagiarism detection algorithm to improve detection accuracy and detection speed

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