Automatically assigned DDC number: 005746

Manually assigned DDC number: 005746

Number of references: 8

Title: 2D-Pattern Matching Image and Video Compression: Theory, Algorithms, and Experiments

Author:

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Subject: Marc Alzina,Wojciech Szpankowski,Ananth Grama 2D-Pattern Matching Image and Video Compression: Theory, Algorithms, and Experiments

Description: We propose a lossy data compression scheme based on an approximate two dimensional pattern matching (2D-PMIC) extension of the Lempel-Ziv lossless scheme. We apply the scheme to image and video compression and report on our theoretical and experimental results. Theoretically, we show that the so called fixed database model leads to suboptimal compression. Furthermore, the compression ratio of this model is as low as the generalized entropy that we define in the paper. We use this model for our video compression scheme and present experimental results. For image compression we use a growing database model for which we provide an approximate analysis. The implementation of 2D-PMIC is a challenging problem from the algorithmic point of view. We use a range of novel techniques and data structures such as k-d trees, generalized run length coding, adaptive arithmetic coding, and variable and adaptive maximum distortion level to achieve good compression ratios at high compression speeds. We ...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1999-01-27

Pubyear: 1999

Format: ps

Identifier: http://citeseer.ist.psu.edu/160365.html

Source: http://www.cs.purdue.edu/homes/spa/asg99.ps

Language: en

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Rights: unrestricted

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