DocumentCode
1742210
Title
Fast scene change detection using direct feature extraction from MPEG compressed videos
Author
Kim, Young-Min ; Sung Woo Choi ; Lee, Seong-Whan
Author_Institution
Center for Artificial Vision Res., Korea Univ., Seoul, South Korea
Volume
3
fYear
2000
fDate
2000
Firstpage
174
Abstract
In order to process video data efficiently, a video segmentation technique through scene change detection must be employed. Many of advanced video applications require manipulations of compressed video signals. So, the scene change detection process is achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. In this paper, we propose a fast scene change detection algorithm using direct feature extraction from MPEG compressed videos, and evaluate this technique using sample video data. This process was made possible by a new mathematical formulation for deriving the edge information directly from the discrete cosine transform coefficients
Keywords
data compression; discrete cosine transforms; edge detection; feature extraction; image segmentation; video coding; video signal processing; DCT coefficients; MPEG compressed videos; compressed video signals; direct feature extraction; discrete cosine transform coefficients; fast scene change detection; sample video data; scene change detection; video data processing; video segmentation; Data mining; Detection algorithms; Discrete cosine transforms; Feature extraction; Humans; Image coding; Image edge detection; Layout; Transform coding; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903513
Filename
903513
Link To Document