An Improved Algorithm of Keyframe Extraction for Video Summarization

Zhong Qu; Teng Fei Gao

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 225-226An Improved Algorithm of Keyframe Extraction for...

An Improved Algorithm of Keyframe Extraction for Video Summarization

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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807-811

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.225-226.807

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Online since:

April 2011

Authors:

Zhong Qu, Teng Fei Gao

Keywords:

Content-Based Video Retrieval, Image Entropy, Key Frame Extraction, Video Shot Detection, Video Summary

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