Department of Computer Science
Video-shot transition detection: A spatio-temporal saliency approach
This paper proposes a novel approach for video-shot transition detection using spatio-temporal saliency. Both temporal and spatial information are combined to generate a saliency map, and features are available based on the change of saliency. Considering the context of shot changes, a statistical detector is constructed to determine all types of shot transitions by the minimization of the detection-error probability simultaneously under the same framework. The evaluation performed on videos of various content types demonstrates that the proposed approach outperforms a more recent method and two publicly available systems, namely VideoAnnex and VCM. © 2010 World Scientific Publishing Company.
Shot transition detection, spatial saliency, spatio-temporal saliency map, temporal saliency
Source Publication Title
International Journal of Pattern Recognition and Artificial Intelligence
World Scientific Publishing
Wu, Xian, Jianhuang Lai, and Pong C. Yuen. "Video-shot transition detection: A spatio-temporal saliency approach." International Journal of Pattern Recognition and Artificial Intelligence 24.8 (2010): 1295-1309.