An Improved Algorithm of Keyframe Extraction for Video Summarization
Video segmentation and keyframe extraction are the basis of Content-based Video Retrieval (CBVR), in which keyframe selection plays the central role in CBVR. In this paper, as the initialization of keyframe extraction, we proposed an improved approach of key-frame extraction for video summarization. In our approach, videos were firstly segmented into shots according to video content, by our improved histogram-based method, with the use of histogram intersection and nonuniform partitioning and weighting. Then, within each shot, keyframes were determined with the calculation of image entropy as a reflection of the quantity of image information in HSV color space of every frame. Our simulation results in section 4 prove that extracted key frames with our method are compact and faithful to the original video.
Helen Zhang, Gang Shen and David Jin
Z. Qu and T. F. Gao, "An Improved Algorithm of Keyframe Extraction for Video Summarization", Advanced Materials Research, Vols. 225-226, pp. 807-811, 2011