A novel approach for shot boundary detection in videos

Guru, D. S. and Suhil, M. and Lolika, P. (2013) A novel approach for shot boundary detection in videos. In: Multimedia Processing, Communication and Computing Applications.

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Official URL: http://doi.org/10.1007/978-81-322-1143-3_17

Abstract

This paper presents a novel approach for video shot boundary detection. The proposed approach is based on split and merge concept. A fisher linear discriminant criterion is used to guide the process of both splitting and merging. For the purpose of capturing the between class and within class scatter we employ 2D2 FLD method which works on texture feature of regions in each frame of a video. Further to reduce the complexity of the process we propose to employ spectral clustering to group related regions together to a single there by achieving reduction in dimension. The proposed method is experimentally also validated on a cricket video. It is revealed that shots obtained by the proposed approach are highly cohesive and loosely coupled.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Communication, Textures, Image segmentation, FLD, Fisher linear discriminants, Shot boundary detection, Spectral clustering, Split-and-merge, Splitting and merging, Video shot boundary detection, Within class scatter
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 20 Sep 2019 05:32
Last Modified: 20 Sep 2019 05:32
URI: http://eprints.uni-mysore.ac.in/id/eprint/7984

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