Identical-video retrieval using the low-peak feature of a video＇s audio information

The recognition and retrieval of identical videos by combing through entire video files requires a great deal of time and memory space. Therefore, most current video-matching methods analyze only a part of each video＇s image frame information. All these methods, however, share the critical problem o...

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Bibliographic Details
Published in:Journal of Zhejiang University. C Science 2010, Vol.11 (3), p.151-159
Main Author: Myoung-beom CHUNG II-ju KO
Format: Article
Language:English
Subjects:
共享技术
匹配方法
存储空间
编解码器
视频文件
视频检索
音频信息
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Summary:The recognition and retrieval of identical videos by combing through entire video files requires a great deal of time and memory space. Therefore, most current video-matching methods analyze only a part of each video＇s image frame information. All these methods, however, share the critical problem of erroneously categorizing identical videos as different if they have merely been altered in resolution or converted with a different codec. This paper deals instead with an identical-video-retrieval method using the low-peak feature of audio data. The low-peak feature remains relatively stable even with changes in bit-rate or codec. The proposed method showed a search success rate of 93.7% in a video matching experiment. This approach could provide a technique for recognizing identical content on video file share sites.
ISSN:1869-1951
1869-196X