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A. Doulamis, Y. Avrithis, N. Doulamis and S. Kollias
Interactive Content-Based Retrieval in Video Databases Using Fuzzy Classification and Relevance Feedback
Proceedings of IEEE International Conference on Multimedia Computing and Systems (ICMSC '99), Florence, Italy
ABSTRACT
This paper presents an integrated framework for interactive content­based retrieval in video databases by means of visual queries. The proposed system incorporates algorithms for video shot detection, key­ frame and shot selection, automated video object segmentation and tracking, and construction of multidimensional feature vectors using fuzzy classification of color, motion or texture segment properties. Retrieval is then performed in an interactive way by employing a parametric distance between feature vectors and updating distance parameters according to user requirements using relevance feedback. Experimental results demonstrate increased performance and flexibility according to user information needs.
01 January , 1999
A. Doulamis, Y. Avrithis, N. Doulamis and S. Kollias, "Interactive Content-Based Retrieval in Video Databases Using Fuzzy Classification and Relevance Feedback", Proceedings of IEEE International Conference on Multimedia Computing and Systems (ICMSC '99), Florence, Italy
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