DocumentCode :
658717
Title :
Image Compression Scheme Based on Multi-resolution Boundary-Based Shape Descriptors
Author :
Yanjun Zhao ; Belkasim, Saeid ; Krishnamani, Janani
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Volume :
2
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
391
Lastpage :
398
Abstract :
With the development of the internet, image compression becomes more and more essential. Most multi-media based web applications are far from realizing their full potential largely due to the limitations of the traditional image compression methods. Representing a shape only based on its boundary information, the boundary-based shape descriptors are prospective for image compression. Inspired by how brain recalls objects, we propose a novel image compression scheme. This scheme can transform any boundary-based descriptor to its multi-resolution structure. The multi-resolution descriptor represents an image in a cognitive architecture which is idea for image compression with maintaining the global information and the key detail points of this image. This scheme has high computation accuracy and efficiency, strong flexibility, it is free from parameter settings, robust to errors and not restricted by the image formats.
Keywords :
Internet; data compression; image coding; image resolution; multimedia computing; shape recognition; Internet; boundary information; cognitive architecture; image compression scheme; image formats; multimedia based Web applications; multiresolution boundary based shape descriptors; multiresolution structure; Discrete cosine transforms; Image coding; Image resolution; Robustness; Shape; Vegetation; cogniton architecture; image compression; multi-resolution boundary-based shape descriptors; the odd-even coefficients tree; the odd-even shape boundary tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
Type :
conf
DOI :
10.1109/WI-IAT.2013.137
Filename :
6690816
Link To Document :
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