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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/954

Title: A fuzzy theoretic approach for video segmentation using syntactic features
Authors: Jadon, R S
Chaudhury, Santanu
Biswas, K K
Keywords: Video segmentation
Video indexing
Fuzzy theoretic
Threshold selection
Video classification
Issue Date: 2001
Citation: Pattern Recognition Letters, 22(13), 1359-1369
Abstract: This paper is concerned with the evelopment of a fuzzy-logic-based framework for segmentation of video sequences. We have proposed a scheme for fuzzification of the frame-to-frame property difference values using the Rayleigh distribution. The difference values have been characterized by fuzzy terms like small, significant, large, etc. These terms have been used to design fuzzy rules for detecting abrupt changes and gradual changes. Fuzzy rules have provided a mechanism for integrating evidences based on different properties. The decompositional inference strategy has been used for fuzzy reasoning over the set of fuzzy rules. Gradual changes have been further classified as fade-in, fade-out and others (including dissolves, wipes, etc). Experimental results have shown that the proposed scheme can detect changes reliably.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/954
Appears in Collections:Computer Science and Engineering

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