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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903513