An Improved Algorithm of Keyframe Extraction for Video Summarization

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

807-811

DOI:

10.4028/www.scientific.net/AMR.225-226.807

Citation:

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

Online since:

April 2011

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Price:

$35.00

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