Intelligent copyright protection system using a matching video retrieval algorithm |
| |
Authors: | MyoungBeom Chung IlJu Ko |
| |
Affiliation: | (1) Department of Media, Soongsil University, Seoul, 156-743, Korea |
| |
Abstract: | Many video service sites headed by YouTube know what content requires copyright protection. However, they lack a copyright
protection system that automatically distinguishes whether uploaded videos contain legal or illegal content. Existing protection
techniques use content-based retrieval methods that compare the features of video. However, if the video encoding has changed
in resolution, bit-rate or codec, these techniques do not perform well. Thus, this paper proposes a novel video matching algorithm
even if the type of encoding has changed. We also suggest an intelligent copyright protection system using the proposed algorithm.
This can serve to automatically prevent the uploading of illegal content. The proposed method has represented the accuracy
of 97% with searching algorithm in video-matching experiments and 98.62% with automation algorithm in copyright-protection
experiments. Therefore, this system could form a core technology that identifies illegal content and automatically excludes
access to illegal content by many video service sites. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|