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Fast scene change detection using direct feature extraction from MPEG compressed videos

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3 Author(s)
Young-Min Kim ; Center for Artificial Vision Res., Korea Univ., Seoul, South Korea ; Sung Woo Choi ; Seong-Whan Lee

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

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Pattern Recognition, 2000. Proceedings. 15th International Conference on  (Volume:3 )

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