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Proceedings Paper

MDL-based arithmetic coding for correlated-Markov states
Author(s): Nobuhito Matsushiro; Osamu Asada
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Paper Abstract

In a description of a data by using arithmetic coding, coding parameters are estimated for each markov state independently. However, markov states are not completely uncorrelated in many cases. By utilizing the correlation, we can decrease estimation errors of coding parameters and improves compression performance. The utilization of the correlation can be included in the MDL (Minimum Description Length) framework. We have developed an MDL-based arithmetic coding for correlated markov states.

Paper Details

Date Published: 3 March 1995
PDF: 6 pages
Proc. SPIE 2418, Still-Image Compression, (3 March 1995); doi: 10.1117/12.204136
Show Author Affiliations
Nobuhito Matsushiro, Oki Data Corp. (Japan)
Osamu Asada, Oki Data Corp. (Japan)


Published in SPIE Proceedings Vol. 2418:
Still-Image Compression
Majid Rabbani; Edward J. Delp; Sarah A. Rajala, Editor(s)

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