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ICMCS
1999
IEEE

Interactive Content-Based Retrieval in Video Databases Using Fuzzy Classification and Relevance Feedback

8 years 11 months ago
Interactive Content-Based Retrieval in Video Databases Using Fuzzy Classification and Relevance Feedback
This paper presents an integrated framework for interactive content-based retrieval in video databases by means of visual queries. The proposed system incorporates algorithms for video shot detection, keyframe 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.
Anastasios D. Doulamis, Yannis S. Avrithis, Nikola
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICMCS
Authors Anastasios D. Doulamis, Yannis S. Avrithis, Nikolaos D. Doulamis, Stefanos D. Kollias
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