2006 IEEE International Conference on Multimedia and Expo , 2006-07-09

Title : ( Novel Progressive Region of Interest Image Coding Based on Matching Pursuits )

Authors: Abbas Ebrahimi Moghadam , Shahram Shirani ,

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Abstract

A progressive and scalable, region of interest (ROl) image coding scheme based on matching pursuits (MP) is presented. Matching pursuit is a multi-resolutional signal analysis tool and can be employed in order to progressively refine the quality of a set of selected regions of an image up to a specific grade. The computational complexity of this analysis method can be reduced by decreasing the size of MP dictionary. Thus, the proposed method provides a trade off between complexity, rate, and quality. By the suggested scheme, regions of an image with higher receiver\\\'s priority are refined in an interactive manner. The transmitter sends an initial coarse version of the image. Then, the receiver transmits its preferred ROI parameters. Afterwards, the reconstructed image is refined according to the ROl parameters, in a progressive way.

Keywords

, Image coding, Matching pursuit algorithms, Dictionaries, Signal analysis, Pursuit algorithms, Decoding, Image reconstruction, Image resolution, Computational complexity ,
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@inproceedings{paperid:1088889,
author = {Ebrahimi Moghadam, Abbas and شهرام شیرانی},
title = {Novel Progressive Region of Interest Image Coding Based on Matching Pursuits},
booktitle = {2006 IEEE International Conference on Multimedia and Expo},
year = {2006},
location = {Toronto},
keywords = {Image coding; Matching pursuit algorithms; Dictionaries; Signal analysis; Pursuit algorithms; Decoding; Image reconstruction; Image resolution; Computational complexity ;},
}

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%0 Conference Proceedings
%T Novel Progressive Region of Interest Image Coding Based on Matching Pursuits
%A Ebrahimi Moghadam, Abbas
%A شهرام شیرانی
%J 2006 IEEE International Conference on Multimedia and Expo
%D 2006

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