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Content-Based Retrieval System Design over the Internet

인터넷에 기반한 내용기반 검색 시스템 설계

  • 김영호 (동아대학교 전자공학과) ;
  • 강대성 (동아대학교 전자컴퓨터공학부)
  • Published : 2005.05.01

Abstract

Recently, development of digital technology is occupying a large part of multimedia information like character, voice, image, video, etc. Research about video indexing and retrieval progresses especially in research relative to video. This paper proposes the novel notation in order to retrieve MPEG video in the international standards of moving picture encoding For realizing the retrieval-system, we detect DCT DC coefficient, and then we obtain shot to apply MVC(Mean Value Comparative) notation to image constructed DC coefficient. We choose the key frame for start-frame of a shot, and we have the codebook index generating it using feature of DC image and applying PCA(principal Component Analysis) to the key frame. Also, we realize the retrieval-system through similarity after indexing. We could reduce error detection due to distinguish shot from conventional shot detection algorithm. In the mean time, speed of indexing is faster by PCA due to perform it in the compressed domain, and it has an advantage which is to generate codebook due to use statistical features. Finally, we could realize efficient retrieval-system using MVC and PCA to shot detection and indexing which is important step of retrieval-system, and we using retrieval-system over the internet.

Keywords

References

  1. J. Fan, H. Luo, 'Concept-oriented indexing of video databases: toward semantic sensitive retrieval and browsing', IEEE TRANSACTION ON IMAGE PROCESSING, OL. 13, NO. 7, JULY 2004 https://doi.org/10.1109/TIP.2004.827232
  2. K. R. Rao, J. J. Hwang, Techniques and standards for image video and audio coding, Prentice Hall. 1999
  3. Jerry D. Gibson, Image and video processing, ACADEMIC PRESS pp. 687-704, 2000
  4. 김영호, 강대성, '프레임 특징비교를 이용한 압축비디오분할', 한국 신호처리 시스템학회 논문지, pp. 25-29 2003
  5. Y. S. Avrithis, A. D. Doulamis, N. D. Doulamis and S. D. Kollias, 'A stochastic framework for optimal key frame extraction from MPEG video databases,' Computer Vision and Image Understanding, vol. 75, Nos. 1/2, July/August, pp. 3-24, 1999 https://doi.org/10.1006/cviu.1999.0761