Robust incremental optical flow
Robust incremental optical flow
Content-based analysis for video from snooker broadcasts
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Exploiting temporal discontinuities for event detection and manipulation in video streams
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
On parsing visual sequences with the hidden Markov model
Journal on Image and Video Processing
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We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of video and is an example of a scientific user context. This user context requires 100% accurate indexing and retrieval for a set of specific queries. This paper presents a novel use of interactive visual and audio cues for attaining this level of indexing performance. Furthermore, the issue of motion estimation accuracy in the presence of compression artifacts is explored as part of the data integrity storage problem. In addition, content based motion analysis techniques accurate enough to parse sequences on the basis of motion and objectively evaluate that motion are investigated. The tool allows Psychologists to undertake a study that would previously be impractical and the paper presents a number of lessons gained from the ongoing work