Video shot boundary detection using block based cumulative approach

Rashmi, B. S. and Nagendraswamy, H. S. (2020) Video shot boundary detection using block based cumulative approach. Multimedia Tools and Applications, 80 (1). pp. 641-664. ISSN 1573-7721

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Abstract

Video data is becoming an indispensable part of today's Big Data due to evolution of social web and mobile technology. Content based video analysis has become crucial for video management. Shot boundary detection is one of the most essential task in video content analysis. In view of this, an efficient shot boundary detection approach to detect abrupt and gradual transition in videos is proposed in this work. The approach extracts block based Mean Cumulative Sum Histogram (MCSH) from each edge gradient fuzzified frame as a combination of local and global feature. The relative standard deviation (RSD) statistical measure is applied on the obtained MCSH to detect abrupt and gradual shots in the video. Efficacy of the proposed method is measured by conducting experiments on TRECVID 2001, TRECVID 2007 and VideoSeg datasets. The proposed method shows relatively a good performance when compared to some of the state-of-the-art shot boundary detection approaches.

Item Type:	Article
Subjects:	D Physical Science > Computer Science
Divisions:	Department of > Computer Science
Depositing User:	Mr Umendra uom
Date Deposited:	06 Mar 2021 10:18
Last Modified:	06 Mar 2021 10:18
URI:	http://eprints.uni-mysore.ac.in/id/eprint/15518

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