Presentation 2009-02-04
Likelihood Estimation for Transform Domain Distributed Video Coding
Ryoji HASHIMOTO, Hiroshi TSUTSUI, Takao ONOYE, Tomohiro IKAI,
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Abstract(in English) Distributed Video Coding (DVC), which is a new image compression paradigm, attracts a lot of attention from video researchers. While computational cost of DVC encoding is lower than that of MPEG-2, low coding efficiency has been an issue for practical DVC applications. In this paper, a likelihood estimation method for transform domain DVC is proposed, which uses Cauchy distribution as a virtual channel model. In the decoder, virtual channel is estimated by utilizing error between forward and backward predicted images for each frequency component. Likelihood is obtained from estimated virtual channel. Simulation results show that the proposed method can estimate the error rate with 1.6% error on average.
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Keyword(in English) Distributed video coding / Likelihood estimation / Virtual channel / DCT
Paper # ITS2008-39,IE2008-209
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Committee ITS
Conference Date 2009/1/28(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Likelihood Estimation for Transform Domain Distributed Video Coding
Sub Title (in English)
Keyword(1) Distributed video coding
Keyword(2) Likelihood estimation
Keyword(3) Virtual channel
Keyword(4) DCT
1st Author's Name Ryoji HASHIMOTO
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Hiroshi TSUTSUI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Takao ONOYE
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
4th Author's Name Tomohiro IKAI
4th Author's Affiliation Sharp Corporation
Date 2009-02-04
Paper # ITS2008-39,IE2008-209
Volume (vol) vol.108
Number (no) 424
Page pp.pp.-
#Pages 6
Date of Issue