An Effective Slow-Motion Detection Approach for Compressed Soccer Videos. (25th March 2012)

• Record Type: Journal Article
• Authors: Kiani, Vahid; Pourreza, Hamid Reza
• Other Names: Pardàs M. Academic Editor.; Prati A. Academic Editor.
• Is Part Of: ISRN machine vision. Volume 2012(2012)
• Publication Date: 2012-03-25
• Subjects: Computer vision -- Periodicals; Computer vision; Periodicals; Electronic journals; 006.37
• DOI: 10.5402/2012/959508
• Languages: English
• ISSNs: 2090-7796

Abstract

Abstract : Slow-motion replays are content full segments of broadcast soccer videos. In this paper, we propose an efficient method for detection of slow-motion shots produced by high-speed cameras in soccer broadcasts. A rich set of color, motion, and cinematic features are extracted from compressed video by partial decoding of the MPEG-1 bitstream. Then, slow-motion shots are modeled by SVM classifiers for each shot class. A set of six full-match soccer games is used for training and evaluation of the proposed method. Our algorithm presents satisfactory results along with high speed for slow-motion detection in soccer videos.