Paper Info
Title
Video cataloging system for real-time scene change detection of news video
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.
Year
DOI
Venue
2004
10.1007/978-3-540-30503-3_54
IWCIA
Keywords
Field
DocType
anchorperson scene extraction,color component,real-time scene change detection,fast storage,mpeg stream,video data,form mpeg-1,broadcasting data,huge amount,modified histogram comparative method,news video,important information,neural network,real time,indexation,comparative method
Computer vision,Histogram,Broadcasting,Change detection,Multimedia database,Computer science,Image retrieval,Image processing,Search engine indexing,Real-time operating system,Artificial intelligence
Conference
Volume
ISSN
ISBN
3322
0302-9743
3-540-23942-1
Citations 
PageRank 
References 
3
0.39
8
Authors
6
Name
Order
Citations
PageRank
Wanjoo Lee130.39
Hyoki Kim230.39
Hyun-Chul Kang3211141.92
Jin-Sung Lee4478.23
YongKyu Kim541.49
Seokhee Jeon625435.21