CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Visual information retrieval
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Visual knowledge annotation and management by using qualitative spatial information
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
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This paper presents the tools in a system for creating a semantically meaningful summary of broadcast Snooker footage. The system parses the sequence, identifies relevant camera views and tracks ball movement. Two new algorithms for video retrieval are presented. The first is the use of the 2nd order moment of the Hough Transform of the image for sequence parsing. The second method is the use of enclosed regions for detecting the disappearance of objects. The moment feature captures the geometry of the scene without extracting the 3D scene geometry. It is expected that this new feature is applicable to most sports in which a playing area is delineated by field lines.