Motion recovery for video content classification
ACM Transactions on Information Systems (TOIS) - Special issue on video information retrieval
Video indexing and summarization using motion activity
Video indexing and summarization using motion activity
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Video Indexing Using MPEG Motion Compensation Vectors
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Video browsing system based on compressed domain feature extraction
IEEE Transactions on Consumer Electronics
Video motion representation for improved content access
IEEE Transactions on Consumer Electronics
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
Rapid estimation of camera motion from compressed video with application to video annotation
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-7 visual motion descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic texture recognition using normal flow and texture regularity
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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We present an overview of the MPEG-7 motion descriptors viz. motion trajectory, camera motion, parametric motion and motion activity. These descriptors cover a wide range of functionality and hence enable several applications. We present the salient parts of the syntax, the semantics and the associated extraction of each of these descriptors. We discuss the possible applications for these descriptors and associated complexity trade-offs. We then describe a case study of a low complexity video browsing and indexing system that capitalizes on the simple extraction, compactness and effectiveness of the motion activity descriptor. This system relies on feature extraction in the compressed domain, which makes dynamic feature extraction possible. It combines the MPEG-7 motion activity descriptor and a simple color histogram to achieve both video summarization (top-down traversal) and indexing (bottom-up traversal) and thus enables a user-friendly video-browsing interface.