Joint shot boundary detection and key frame extraction
Xiao Liu, Mingli Song, Luming Zhang, Wang, S, Jiajun Bu, Chun Chen, Dacheng Tao · UTS ePRESS (University of Technology Sydney) · 2012
Representing a video by a set of key frames is useful for efficient video browsing and retrieving. But key frame extraction keeps a challenge in the computer vision field. In this paper, we propose a joint framework to integrate both shot boundary detection and key frame extraction, wherein three probabilistic components are taken into account, i.e. The prior of the key frames, the conditional probability of shot boundaries and the conditional probability of each video frame. Thus the key frame extraction is treated as a Maximum A Posteriori which can be solved by adopting alternate strategy. Experimental results show that the proposed method preserves the scene level structure and extracts key frames that are representative and discriminative. © 2012 ICPR Org Committee.