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Y. Avrithis, A. Doulamis, N. Doulamis and S. Kollias
An Adaptive Approach to Video Indexing and Retrieval Using Fuzzy Classification
Proceedings of International Conference on Very Low Bitrate Video Coding (VLBV '98), Urbana, IL, USA
ABSTRACT
An integrated framework for content-based indexing and retrieval in video databases is presented in this paper, which has the capability of adapting its performance according to user requirements. Video sequences are represented by extracting a small number of key frames or scenes and constructing multidimensional feature vectors using fuzzy classification of color, motion or texture segment properties. Queries are then performed by employing a parametric distance between feature vectors, and adaptation is achieved by estimating distance parameters according to user requirements, resulting in a content based retrieval system of increased performance and flexibility.
01 January , 1998
Y. Avrithis, A. Doulamis, N. Doulamis and S. Kollias, "An Adaptive Approach to Video Indexing and Retrieval Using Fuzzy Classification", Proceedings of International Conference on Very Low Bitrate Video Coding (VLBV '98), Urbana, IL, USA
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