Retrieving video data via motion tracks of content symbols
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
New enhancements to cut, fade, and dissolve detection processes in video segmentation
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A mask matching approach for video segmentation on compressed data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Efficient Near Neighbor Searching Using Multi-Indexes for Content-Based Multimedia Data Retrieval
Multimedia Tools and Applications
3D-List: A Data Structure for Efficient Video Query Processing
IEEE Transactions on Knowledge and Data Engineering
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Video segmentation is an elementary work for video index construction. A video sequence is usually decomposed into several basic meaningful segments. In this paper, we propose a new approach to detect shot changes for video segmentation, which is based on the processing of MPEG compressed video data. This approach takes advantage of the information implied in the compressed data. The reference ratios among video frames are analyzed to determine their similarities. A shot change is detected if the similarity degrees of a frame and its adjacent frames are low. A function is used to quantize the results into the shot change probabilities. Considering the motion variations of video contents between frames, a conversion function is designed to increase the correctness of the shot change detection. T h e experimental results showed the performance of our approach.