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Proceedings Paper

A Method For Evaluating The Efficiency Of Block Classification In Multiple Mode Video Compression
Author(s): Tom Lookabaugh; Dan Klenke; Bowonkoon Chitprasert; Jonathan A. Zingman; Wen-hsiung Chen
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Paper Abstract

Many contemporary video compression algorithms classify each block of image data into one of a small number of modes and then apply a coding technique determined by the mode. The design and optimization of this classifier is a central problem in designing the overall video compression algorithm. We derive a theoretical bound on performance of block classification for independently coded blocks by minimizing a Lagrangian functional of rate and distortion. This bound can be used to evaluate the efficiency of simple classification schemes. As an example, we analyzed a heuristically optimized classification scheme for a simple three mode video coding system and showed that its performance was within 5% of the Lagrangian minimization. We also demonstrate how our technique can be used to improve classification logic.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970034
Show Author Affiliations
Tom Lookabaugh, Compression Labs, Inc. (United States)
Dan Klenke, Compression Labs, Inc. (United States)
Bowonkoon Chitprasert, Compression Labs, Inc. (United States)
Jonathan A. Zingman, Compression Labs, Inc. (United States)
Wen-hsiung Chen, Compression Labs, Inc. (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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