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

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dc.contributor.authorJadon, R S-
dc.contributor.authorChaudhury, Santanu-
dc.contributor.authorBiswas, K K-
dc.identifier.citationPattern Recognition Letters, 22(13), 1359-1369en
dc.description.abstractThis 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.en
dc.format.extent637275 bytes-
dc.subjectVideo segmentationen
dc.subjectVideo indexingen
dc.subjectFuzzy theoreticen
dc.subjectThreshold selectionen
dc.subjectVideo classificationen
dc.titleA fuzzy theoretic approach for video segmentation using syntactic featuresen
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