Parameter optimization of robust low-bit-rate video coders

Sang Youn Lee, Vijay K. Madisetti

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Most standards provide a generalized syntax and semantics framework for video coders, leaving the selection and optimization of the right parameter set (and lookup tables) to the implementation. The choice of the right parameter set that is suitable for a rich enough class of input sequences is, however, quite difficult. This difficulty is particularly amplified in the low-bit-rate video coding arena, where robust parameter sets are very important. We propose that robust parameter estimation, using the Taguchi methods, when applied to low-bit-rate video coding allows effective (near optimal) performance over a wide variety of input data streams. A number of experimental results confirm the improvement (via robustness) vis-a-vis conventional parameter estimation methods, and these methods promise a solution to the design of efficient parameter sets that support standards.

Original languageEnglish
Pages (from-to)849-855
Number of pages7
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume9
Issue number6
DOIs
Publication statusPublished - 1999 Jan 1

Fingerprint

Image coding
Parameter estimation
Taguchi methods
Table lookup
Robustness (control systems)
Semantics

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{ae68e52cde534951b490eaa6dcf122a8,
title = "Parameter optimization of robust low-bit-rate video coders",
abstract = "Most standards provide a generalized syntax and semantics framework for video coders, leaving the selection and optimization of the right parameter set (and lookup tables) to the implementation. The choice of the right parameter set that is suitable for a rich enough class of input sequences is, however, quite difficult. This difficulty is particularly amplified in the low-bit-rate video coding arena, where robust parameter sets are very important. We propose that robust parameter estimation, using the Taguchi methods, when applied to low-bit-rate video coding allows effective (near optimal) performance over a wide variety of input data streams. A number of experimental results confirm the improvement (via robustness) vis-a-vis conventional parameter estimation methods, and these methods promise a solution to the design of efficient parameter sets that support standards.",
author = "Lee, {Sang Youn} and Madisetti, {Vijay K.}",
year = "1999",
month = "1",
day = "1",
doi = "10.1109/76.785722",
language = "English",
volume = "9",
pages = "849--855",
journal = "IEEE Transactions on Circuits and Systems for Video Technology",
issn = "1051-8215",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

Parameter optimization of robust low-bit-rate video coders. / Lee, Sang Youn; Madisetti, Vijay K.

In: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 9, No. 6, 01.01.1999, p. 849-855.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Parameter optimization of robust low-bit-rate video coders

AU - Lee, Sang Youn

AU - Madisetti, Vijay K.

PY - 1999/1/1

Y1 - 1999/1/1

N2 - Most standards provide a generalized syntax and semantics framework for video coders, leaving the selection and optimization of the right parameter set (and lookup tables) to the implementation. The choice of the right parameter set that is suitable for a rich enough class of input sequences is, however, quite difficult. This difficulty is particularly amplified in the low-bit-rate video coding arena, where robust parameter sets are very important. We propose that robust parameter estimation, using the Taguchi methods, when applied to low-bit-rate video coding allows effective (near optimal) performance over a wide variety of input data streams. A number of experimental results confirm the improvement (via robustness) vis-a-vis conventional parameter estimation methods, and these methods promise a solution to the design of efficient parameter sets that support standards.

AB - Most standards provide a generalized syntax and semantics framework for video coders, leaving the selection and optimization of the right parameter set (and lookup tables) to the implementation. The choice of the right parameter set that is suitable for a rich enough class of input sequences is, however, quite difficult. This difficulty is particularly amplified in the low-bit-rate video coding arena, where robust parameter sets are very important. We propose that robust parameter estimation, using the Taguchi methods, when applied to low-bit-rate video coding allows effective (near optimal) performance over a wide variety of input data streams. A number of experimental results confirm the improvement (via robustness) vis-a-vis conventional parameter estimation methods, and these methods promise a solution to the design of efficient parameter sets that support standards.

UR - http://www.scopus.com/inward/record.url?scp=0032646202&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032646202&partnerID=8YFLogxK

U2 - 10.1109/76.785722

DO - 10.1109/76.785722

M3 - Article

VL - 9

SP - 849

EP - 855

JO - IEEE Transactions on Circuits and Systems for Video Technology

JF - IEEE Transactions on Circuits and Systems for Video Technology

SN - 1051-8215

IS - 6

ER -