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Proceedings Paper

Conditional entropy coding of DCT coefficients for video compression
Author(s): Mihai Sipitca; David W. Gillman
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Paper Abstract

We introduce conditional Huffman encoding of DCT run-length events to improve the coding efficiency of low- and medium-bit rate video compression algorithms. We condition the Huffman code for each run-length event on a classification of the current block. We classify blocks according to coding mode and signal type, which are known to the decoder, and according to energy, which the decoder must receive as side information. Our classification schemes improve coding efficiency with little or no increased running time and some increased memory use.

Paper Details

Date Published: 19 April 2000
PDF: 9 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.382947
Show Author Affiliations
Mihai Sipitca, Georgia Institute of Technology (United States)
David W. Gillman, Iterated Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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