Welcome to the InfoSci Platform
Reference Hub3
An Efficient Method for Video Shot Transition Detection Using Probability Binary Weight Approach

An Efficient Method for Video Shot Transition Detection Using Probability Binary Weight Approach

Nandini H. M., Chethan H. K., Rashmi B. S.
Copyright: © 2021 |Volume: 11 |Issue: 3 |Pages: 20
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781799862048|DOI: 10.4018/IJCVIP.2021070101
Cite Article Cite Article

MLA

Nandini H. M., et al. "An Efficient Method for Video Shot Transition Detection Using Probability Binary Weight Approach." IJCVIP vol.11, no.3 2021: pp.1-20. http://doi.org/10.4018/IJCVIP.2021070101

APA

Nandini H. M., Chethan H. K., & Rashmi B. S. (2021). An Efficient Method for Video Shot Transition Detection Using Probability Binary Weight Approach. International Journal of Computer Vision and Image Processing (IJCVIP), 11(3), 1-20. http://doi.org/10.4018/IJCVIP.2021070101

Chicago

Nandini H. M., Chethan H. K., and Rashmi B. S. "An Efficient Method for Video Shot Transition Detection Using Probability Binary Weight Approach," International Journal of Computer Vision and Image Processing (IJCVIP) 11, no.3: 1-20. http://doi.org/10.4018/IJCVIP.2021070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Shot boundary detection in videos is one of the most fundamental tasks towards content-based video retrieval and analysis. In this aspect, an efficient approach to detect abrupt and gradual transition in videos is presented. The proposed method detects the shot boundaries in videos by extracting block-based mean probability binary weight (MPBW) histogram from the normalized Kirsch magnitude frames as an amalgamation of local and global features. Abrupt transitions in videos are detected by utilizing the distance measure between consecutive MPBW histograms and employing an adaptive threshold. In the subsequent step, co-efficient of mean deviation and variance statistical measure is applied on MPBW histograms to detect gradual transitions in the video. Experiments were conducted on TRECVID 2001 and 2007 datasets to analyse and validate the proposed method. Experimental result shows significant improvement of the proposed SBD approach over some of the state-of-the-art algorithms in terms of recall, precision, and F1-score.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.