End-to-end video copy detection method and device based on deep learning

Abstract

The invention relates to the field of video classification and provides an end-to-end video copy detection method based on deep learning, which aims to solve problems in the video copy detection, suchas it is difficult to detect multiple copy segments in two pieces of videos, positions of copy video segments cannot be accurately positioned and the like. The specific embodiment of the method includes the following steps: performing shot segmentation on two video segments to be detected which are used for video copy detection, so as to select key frames; recognizing selected a plurality of keyframes by using a pre-built copy relationship recognizing model, and determining a copy relationship among the key frames; constructing a copy relationship matrix of all the key frames of two segmentsof the to-be-detected videos, according to the obtained copy relationship among the key frames; using the copy relationship matrix as an input of the pre-built positioning recognition model, and positioning fragments that contain a copy relationship in the two segments of the to-be-detected videos. The end-to-end video copy detection method and device based on deep learning can quickly and efficiently detect the video fragments that have the copy relationship in the two segments of the to-be-detected videos.

Description

technical field [0001] The present invention relates to the technical field of network content security, in particular to the field of video classification, and in particular to an end-to-end video copy detection method and device based on deep learning. Background technique [0002] With the rapid development of network technology and the continuous introduction of new human ideas, the era of mobile Internet has followed, which makes more and more multimedia data presented in front of people. Representative video data is not only used for art dissemination and education, but also can be used to build databases for scientific research and commercial applications. At the same time, as an open communication medium, the Internet allows users to upload and download video data freely, without standardized management and constraints. The emergence of a large number of video editing software makes tampering of video data very common. This makes the video copyright issue huge unce...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems in the prior art, that is, in order to solve the problem that there are multiple copy segments in the two videos, it is impossible to accurately detect the copy judgment of some edited videos end-to-end, and accurately locate the position of the copied video segments. This application provides an end-to-end video copy detection method based on deep learning to solve the above problems

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