Key Frame Selection Based on KL-Divergence
Liangkai Li, Qing Xu, Xiaoxiao Luo, Shihua Sun · 2015
The key frame extraction is designed for obtaining a (very) compressed set of video frames that summarizes the essential content of a video sequence. In this paper, a well-known information theoretic measure, the Kullback-Leibler divergence (KLD), is studied to estimate the frame-by-frame distance between consecutive video images, for segmenting shots/sub shots and for choosing key frames. Our new key frame extraction method, which is effective and computationally fast, contributes to a good and quick understanding of a large amount of video data.