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

Myoung-beom CHUNG; Il-ju KO

doi:10.1631/jzus.C0910472

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

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- Identical-video retrieval using the low-peak feature of a video’s audio information
- Identical-video retrieval using the low-peak feature of a video’s audio information
- 信息与电子工程前沿（英文） 2010年11卷第3期页码：151-159
- Affiliations：
  
  Department of Media, Soongsil University, Seoul 156-743, Korea
- Author bio：
  
  E-mail:nzin@ssu.ac.kr
  andy@ssu.ac.kr
- Funds：
- DOI：10.1631/jzus.C0910472
  中图分类号：
- 收稿：2009-07-31，
  
  修回：2009-12-07，
  
  录用：2009-12-04，
  
  纸质出版：2010-03
- Accepted：
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Identical-video retrieval using the low-peak feature of a video’s audio information[J]. 信息与电子工程前沿（英文）, 2010,11(3):151-159.

Myoung-beom CHUNG, Il-ju KO. Identical-video retrieval using the low-peak feature of a video’s audio information[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(3): 151-159.
Identical-video retrieval using the low-peak feature of a video’s audio information[J]. 信息与电子工程前沿（英文）, 2010,11(3):151-159. DOI： 10.1631/jzus.C0910472.

Myoung-beom CHUNG, Il-ju KO. Identical-video retrieval using the low-peak feature of a video’s audio information[J]. Frontiers of Information Technology & Electronic Engineering, 2010, 11(3): 151-159. DOI： 10.1631/jzus.C0910472.

摘要

Abstract

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.

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