Welcome to the InfoSci Platform
Fast Video Shot Boundary Detection Technique based on Stochastic Model

Fast Video Shot Boundary Detection Technique based on Stochastic Model

Mohammad A. Al-Jarrah, Faruq A. Al-Omari
Copyright: © 2016 |Volume: 6 |Issue: 2 |Pages: 17
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466692572|DOI: 10.4018/IJCVIP.2016070101
Cite Article Cite Article

MLA

Al-Jarrah, Mohammad A., and Faruq A. Al-Omari. "Fast Video Shot Boundary Detection Technique based on Stochastic Model." IJCVIP vol.6, no.2 2016: pp.1-17. http://doi.org/10.4018/IJCVIP.2016070101

APA

Al-Jarrah, M. A. & Al-Omari, F. A. (2016). Fast Video Shot Boundary Detection Technique based on Stochastic Model. International Journal of Computer Vision and Image Processing (IJCVIP), 6(2), 1-17. http://doi.org/10.4018/IJCVIP.2016070101

Chicago

Al-Jarrah, Mohammad A., and Faruq A. Al-Omari. "Fast Video Shot Boundary Detection Technique based on Stochastic Model," International Journal of Computer Vision and Image Processing (IJCVIP) 6, no.2: 1-17. http://doi.org/10.4018/IJCVIP.2016070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

A video is composed of set of shots, where shot is defined as a sequence of consecutive frames captured by one camera without interruption. In video shot transition could be a prompt (hard cut) or gradual (fade, dissolve, and wipe). Shot boundary detection is an essential component of video processing. These boundaries are utilized on many aspect of video processing such as video indexing, and video in demand. In this paper, the authors proposed a new shot boundary detection algorithm. The proposed algorithm detects all type of shot boundaries in a high accuracy. The algorithm is developed based on a global stochastic model for video stream. The proposed stochastic model utilizes the joined characteristic function and consequently the joined momentum to model the video stream. The proposed algorithm is implemented and tested against different types of categorized videos. The proposed algorithm detects cuts fades, dissolves, and wipes transitions. Experimental results show that the algorithm has high performance. The computed precision and recall rates validated its performance.

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.