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.
Cite
CITATION STYLE
Kiani, V., & Pourreza, H. R. (2012). An Effective Slow-Motion Detection Approach for Compressed Soccer Videos. ISRN Machine Vision, 2012, 1–8. https://doi.org/10.5402/2012/959508
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.