Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

Michael T. Orchard; Yao Wang; Vinay Vaishampayan; Amy R. Reibman

Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

Michael T. Orchard, Yao Wang, Vinay Vaishampayan, Amy R. Reibman

Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

The objective of multiple description coding (MDC) is to encode a source into two (or more) bitstreams supporting two quality levels of decoding. A high-quality reconstruction should be decodable from the two bitstreams together, while lower, but still acceptable, quality reconstructions should be decodable from either of the two individual bit-streams. This paper describes techniques for meeting MDC objectives in the framework of standard transform-based image coding through the design of pairwise transforms.

Original language	English (US)
Pages	608-611
Number of pages	4
State	Published - 1997
Event	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: Oct 26 1997 → Oct 29 1997

Other

Other	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
City	Santa Barbara, CA, USA
Period	10/26/97 → 10/29/97

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms. / Orchard, Michael T.; Wang, Yao; Vaishampayan, Vinay et al.
1997. 608-611 Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA.

Research output: Contribution to conference › Paper › peer-review

@conference{3ced82beb95d48dfb2712fdf5747eee5,

title = "Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms",

abstract = "The objective of multiple description coding (MDC) is to encode a source into two (or more) bitstreams supporting two quality levels of decoding. A high-quality reconstruction should be decodable from the two bitstreams together, while lower, but still acceptable, quality reconstructions should be decodable from either of the two individual bit-streams. This paper describes techniques for meeting MDC objectives in the framework of standard transform-based image coding through the design of pairwise transforms.",

author = "Orchard, {Michael T.} and Yao Wang and Vinay Vaishampayan and Reibman, {Amy R.}",

year = "1997",

language = "English (US)",

pages = "608--611",

note = "Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) ; Conference date: 26-10-1997 Through 29-10-1997",

}

TY - CONF

T1 - Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

AU - Orchard, Michael T.

AU - Wang, Yao

AU - Vaishampayan, Vinay

AU - Reibman, Amy R.

PY - 1997

Y1 - 1997

N2 - The objective of multiple description coding (MDC) is to encode a source into two (or more) bitstreams supporting two quality levels of decoding. A high-quality reconstruction should be decodable from the two bitstreams together, while lower, but still acceptable, quality reconstructions should be decodable from either of the two individual bit-streams. This paper describes techniques for meeting MDC objectives in the framework of standard transform-based image coding through the design of pairwise transforms.

AB - The objective of multiple description coding (MDC) is to encode a source into two (or more) bitstreams supporting two quality levels of decoding. A high-quality reconstruction should be decodable from the two bitstreams together, while lower, but still acceptable, quality reconstructions should be decodable from either of the two individual bit-streams. This paper describes techniques for meeting MDC objectives in the framework of standard transform-based image coding through the design of pairwise transforms.

UR - http://www.scopus.com/inward/record.url?scp=0031386370&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031386370&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0031386370

SP - 608

EP - 611

T2 - Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)

Y2 - 26 October 1997 through 29 October 1997

ER -

Redundancy rate-distortion analysis of multiple description coding using pairwise correlating transforms

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this