Efficient color feature extraction in compressed video

Chee Sun Won; Dong Kwon Park; In Yup Na; Seong-Joon Yoo

doi:10.1117/12.333888

17 December 1998 Efficient color feature extraction in compressed video

Chee Sun Won, Dong Kwon Park, In Yup Na, Seong-Joon Yoo

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333888
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Chee Sun Won, Dong Kwon Park, In Yup Na, and Seong-Joon Yoo "Efficient color feature extraction in compressed video", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333888

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