Experimental video database management system based on advanced object-oriented techniques

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Abstract
Video data management is fast becoming one of the most important topics in multimedia databases. Most of the recent work on video databases has so far focused on video classification, feature extraction, spatial reasoning and image retrieval (video access); little work has been done on supporting advanced video editing and production activities, nor has there been much work done on providing facilities for efficient and versatile video data management. In this paper, we describe the development of an experimental video database system being implemented at HKUST, which employs extended object-oriented features and techniques. By incorporating conceptual object clustering concepts and techniques, it enables users to dynamically form, among other things, video programs (or segments) from existing objects based on semantic features/index terms. A prototype of this system has been constructed, using a persistent object storage manager (viz. EOS), on Sun4 workstations.

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