A Fuzzy Logical Approach for video shot cut detection.

Fang, Hui, Jiang, Jianmin and Feng, Yue (2006) A Fuzzy Logical Approach for video shot cut detection. Pattern Recognition, 39 (11). pp. 2092-2100. ISSN 0031-3203 DOI https://doi.org/10.1016/j.patcog.2006.04.044

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Abstract

Video temporal segmentation is normally the first and important step for content-based video applications. Many features including the pixel difference, colour histogram, motion, and edge information etc. have been widely used and reported in the literature to detect shot cuts inside videos. Although existing research on shot cut detection is active and extensive, it still remains a challenge to achieve accurate detection of all types of shot boundaries with one single algorithm. In this paper, we propose a fuzzy logic approach to integrate hybrid features for detecting shot boundaries inside general videos. The fuzzy logic approach contains two processing modes, where one is dedicated to detection of abrupt shot cuts including those short dissolved shots, and the other for detection of gradual shot cuts. These two modes are unified by a mode-selector to decide which mode the scheme should work on in order to achieve the best possible detection performances. By using the publicly available test data set from Carleton University, extensive experiments were carried out and the test results illustrate that the proposed algorithm outperforms the representative existing algorithms in terms of the precision and recall rates.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computing and Information Systems
Date Deposited: 28 Jan 2016 14:19
URI: http://repository.edgehill.ac.uk/id/eprint/6877

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