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Proceedings Paper

Efficient color feature extraction in compressed video
Author(s): Chee Sun Won; Dong Kwon Park; In Yup Na; Seong-Joon Yoo
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Paper Abstract

In this paper, we propose a new image feature extraction method for MPEG compressed video. To minimize the MPEG decoding process, we use only DC values for Y, Cr, and Cb components for each macroblock. Then, we can obtain a feature vector, using the decoded DC values of Y, Cr, and Cb components, for all macroblocks in I frame. The feature vector consists of histograms for various colors, luminance, and edge types. In obtaining histograms for colors and luminance features, we consider the ratio of contributing pure colors and luminance to the chroma DC values for each macroblock. Then, we update all contributing colors and/or luminance histograms accordingly. Otherwise, if the macroblock is classified as an edge block, we update the corresponding edge type histogram. To demonstrate the performance of the proposed feature extraction method, we apply it to a scene change detection problem.

Paper Details

Date Published: 17 December 1998
PDF: 10 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333888
Show Author Affiliations
Chee Sun Won, Dongguk Univ. (South Korea)
Dong Kwon Park, Dongguk Univ. (South Korea)
In Yup Na, Dongguk Univ. (South Korea)
Seong-Joon Yoo, Electronic and Telecommunications Research Institute (South Korea)

Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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