Title : ( Progressive scalable interactive region-of-interest image coding using vector quantization )
Authors: Abbas Ebrahimi Moghadam , Shahram Shirani ,
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Abstract
We have developed novel progressive scalable region- of-interest (ROI) image compression schemes with rate-distortion- complexity tradeoff based on vector quantization. Residual vector quantization (RVQ) equips the encoder with a multi-resolution apparatus which is useful for rate-distortion tradeoff. Having all advantages of RVQ, jointly suboptimized RVQ provides a distortion-complexity adjustment. The systems are unbalanced in the sense that the decoder has less computational requirements than the encoder. The proposed jointly suboptimized RVQ method provides an interactive tool for fast ROI-based browsing from image archives.
Keywords
, Embedded coding, foveation, image compression, lossy compression, region of interest, scalability, vector quantization.
@article{paperid:1088869,
author = {Ebrahimi Moghadam, Abbas and Shahram Shirani},
title = {Progressive scalable interactive region-of-interest image coding using vector quantization},
journal = {IEEE Transactions on Multimedia},
year = {2005},
volume = {7},
number = {4},
month = {August},
issn = {1520-9210},
pages = {680--687},
numpages = {7},
keywords = {Embedded coding; foveation; image compression; lossy compression; region of interest; scalability; vector quantization.},
}
%0 Journal Article
%T Progressive scalable interactive region-of-interest image coding using vector quantization
%A Ebrahimi Moghadam, Abbas
%A Shahram Shirani
%J IEEE Transactions on Multimedia
%@ 1520-9210
%D 2005
