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Proceedings Paper

Extracting image features from MPEG-2 compressed stream
Author(s): Chee Sun Won; Dong Kwon Park; Seong-Joon Yoo
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Paper Abstract

In this paper, we propose a new image feature extraction algorithm in the compression domain. To minimize the decompression process the proposed feature extraction algorithm executes only the parsing process to the compressed bit stream. Then, by just decoding dct_dc_size in the MPEG-2 bit stream, we can determine if there exists any abrupt brightness change between two DCT blocks. According to the Huffman table for the MPEG-2 encoder, as the difference of the dc values between two succeeding DCT blocks increases, it yields longer coded bits. That is, the length of the coded dc value is proportional to the brightness change between two succeeding DCT blocks. Therefore, one can detect an edge feature between DCT blocks by just decoding the information regarding the number of bits assigned to the difference of the dc values. To demonstrate the usefulness of the proposed feature extraction method, we apply the detected edge features to find scene changes in the MPEG-2 compressed bit stream.

Paper Details

Date Published: 23 December 1997
PDF: 10 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298451
Show Author Affiliations
Chee Sun Won, Dongguk Univ. (South Korea)
Dong Kwon Park, Dongguk Univ. (South Korea)
Seong-Joon Yoo, Electronic and Telecommunications Research Institute (South Korea)

Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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