Automatic partitioning of full-motion video
Multimedia Systems
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Efficient and cost-effective techniques for browsing and indexing large video databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
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ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Super-resolution reconstruction of compressed video using transform-domain statistics
IEEE Transactions on Image Processing
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Scene extraction in motion pictures
IEEE Transactions on Circuits and Systems for Video Technology
Object-based surveillance video retrieval system with real-time indexing methodology
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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This paper describes a fully automatic content-based approach for browsing and retrieval of MPEG-2 compressed video. The first step of the approach is the detection of shot boundaries based on motion vectors available from the compressed video stream. The next step involves the construction of a scene tree from the shots obtained earlier. The scene tree is shown to capture some semantic information as well as to provide a construct for hierarchical browsing of compressed videos. Finally, we build a new model for video similarity based on global as well as local motion associated with each node in the scene tree. To this end, we propose new approaches to camera motion and object motion estimation. The experimental results demonstrate that the integration of the above techniques results in an efficient framework for browsing and searching large video databases.