NDLI: On random binning versus conditional codebook methods in multiple descriptions coding

Content Provider	IEEE Xplore Digital Library
Author	Akyol, E. Viswanatha, K. Rose, K.
Copyright Year	2012
Description	Author affiliation: University of California, Santa Barbara, USA (Akyol, E.; Viswanatha, K.; Rose, K.)
Abstract	There are two common types of encoding paradigms in multiple descriptions (MD) coding: i) an approach based on conditional codebook generation, which was originally initiated by El-Gamal and Cover for the 2 channel setting and later extended to more than 2 channels by Venkataramani, Kramer and Goyal (VKG), ii) and an approach based on Slepian and Wolf's random binning technique, proposed by Pradhan, Puri and Ramchandran (PPR) for L > 2 descriptions. It is well known that the achievable region due to PPR subsumes the VKG region for the symmetric Gaussian MD problem. Motivated by several practical advantages of random binning based methods over the conditional codebook encoding, this paper focuses on the following important questions: Does a random binning based scheme achieve the performance of conditional codebook encoding, even for the 2 descriptions scenario? Are random binning based approaches beneficial for settings that are not fully symmetric? This paper answers both these questions in the affirmative. Specifically, we propose a 2 descriptions coding scheme, based on random binning, which subsumes the currently known largest region for this problem due to Zhang and Berger. Moreover, we propose its extensions to L > 2 channels and derive the associated achievable regions. The proposed scheme enjoys the advantages of both encoding paradigms making it particularly useful when there is symmetry only within a subset of the descriptions.
Starting Page	312
Ending Page	316
File Size	574238
Page Count	5
File Format	PDF
ISBN	9781467302241
e-ISBN	9781467302234
e-ISBN	9781467302227
DOI	10.1109/ITW.2012.6404683
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-03
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiple description coding Conferences Source coding Rate-distortion Ratedistortion theory Encoding Decoding Random variables Indexes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Combinatorial message sharing and random binning for multiple description coding

On random binning versus conditional codebook methods in multiple descriptions coding (2012)

Combinatorial message sharing and random binning for multiple description coding.

Combinatorial Message Sharing for a refined multiple descriptions achievable region

A strictly improved achievable region for multiple descriptions using combinatorial message sharing

On random binning versus conditional codebook methods in multiple descriptions coding (2012)

On the role of common codewords in quadratic Gaussian multiple descriptions coding

Multiple description source coding with excess rate

Backward Channels in Multiterminal Source Coding

On random binning versus conditional codebook methods in multiple descriptions coding

Similar Documents

Combinatorial message sharing and random binning for multiple description coding

On random binning versus conditional codebook methods in multiple descriptions coding (2012)

Combinatorial message sharing and random binning for multiple description coding.

Combinatorial Message Sharing for a refined multiple descriptions achievable region

A strictly improved achievable region for multiple descriptions using combinatorial message sharing

On random binning versus conditional codebook methods in multiple descriptions coding (2012)

On the role of common codewords in quadratic Gaussian multiple descriptions coding

Multiple description source coding with excess rate

Backward Channels in Multiterminal Source Coding

On random binning versus conditional codebook methods in multiple descriptions coding