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
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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.
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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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