Paper Title:
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.

  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, 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
$32.00
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