Automatic partitioning of full-motion video
Multimedia Systems
An access control model for video database systems
Proceedings of the ninth international conference on Information and knowledge management
A hierarchical access control model for video database systems
ACM Transactions on Information Systems (TOIS)
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
An Authorization Model for Geospatial Data
IEEE Transactions on Dependable and Secure Computing
Automatic image annotation and retrieval using weighted feature selection
Multimedia Tools and Applications
Video surveillance and multimedia forensics: an application to trajectory analysis
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
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This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today's world of omnipresent surveillance video. Ideas and techniques for closing the semantic gap between low-level machine readable features of video data and high-level events seen by a human observer are discussed. An evaluation of the event classification and detection technique is presented and a future experiment to refine this technique is proposed. These experiments are used as a lead to a discussion on the most optimal machine learning algorithm to learn the event representation scheme proposed in this paper.