Video duplicate checking method and system, server and storage medium

Abstract

The invention discloses a video duplicate checking method and system, a server and a storage medium. A video frame of a video to be subjected to duplicate checking is stamped at a specific time point,a feature value is extracted, if the feature value of the video frame stamped at the same time point as a comparison video are the same, it is determined that the two videos are the same, and due tothe fact that feature images needing to be stamped are small, the needed storage space is small, the feature value stamping speed is high, and the duplicate checking speed is high. Besides, the duplicate checking data is screened through basic information such as video length in the earlier stage of comparison; the data volume is reduced, an independent feature image is compared; a first feature image is converted into a first feature value, whether the feature values are the same or not is directly compared, when the Hamming distance between the first feature value and one of the second feature values is smaller than or equal to a first threshold value, it is considered that the first feature image is the same as a second feature image corresponding to a second feature value, XOR operation is only needed, complex encoding and decoding processing is not needed, and the duplicate checking speed is high.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a video plagiarism checking method, system, server and storage medium. Background technique [0002] In today's multimedia information society, users upload a large number of videos to the video platform every day. Most of these videos are normal and valuable videos. However, there are also some problem videos. The problem videos mainly include: and existing videos in the platform video database Duplicate videos, videos that are duplicates of videos in the copyright database (for example, videos that are subject to copyright fees), and certain videos that are inappropriate or prohibited from display. [0003] In addition, when the website ranks videos according to the number of video views to recommend to users, since there are a large number of repeated videos or videos with high similarity in these videos, the accuracy of the website's ranking of videos will be low, an...

AI Technical Summary

Problems solved by technology

Existing video comparison and deduplication methods have problems such as slow speed and high consumption of computing resources and storage resources.

Images