Video cataloging system for real-time scene change detection of news video

Authors:
Wanjoo Lee;Hyoki Kim;Hyunchul Kang;Jinsung Lee;Yongkyu Kim;Seokhee Jeon
Affiliations:
Division of Computer & Information, YongIn University, Gyunggi-Do, Korea;Dept. of Information & Telecommunication Engineering, University of Inchoen, Inchoen, Korea;Dept. of Information & Telecommunication Engineering, University of Inchoen, Inchoen, Korea;Hee-Jung B/D 4F, Seoul, Korea;Dept. of Information Communication Engineering, Sungkyul University, Gyunggi-Do;Dept. of Electronics Engineering, University of Incheon, Incheon, Korea
Venue:
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Year:
2004

Citing 3
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Abstract

It is necessary for various multimedia database applications to develop efficient and fast storage, indexing, browsing, and retrieval of video. We make a cataloging system, which has important information of video data. In this paper, we proposed a method to process huge amount of broadcasting data. It can detect scene-change quickly and effectively for MPEG stream. To extract the DC-image, minimal decoding is employed form MPEG-1 compressed domain. Scene-change is detected by the modified histogram comparative method that combines luminance and color component. A neural network is used to judge whether it is scene-change with an anchorperson and to raise precision of an anchorperson scene extraction.