Multistage motion vector quantization for video coding

Wen-Jyi Hwang, Yu Chun Huang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We present a novel multiresolution block-matching scheme-based on multistage motion vector quantization (MSMVQ) for videocoding. The MSMVQ performs the block matching on the coarse-to-fine basis where rough results of block matching are provided at the earlier stages of MSMVQ with fast computation, and accurate results are given at the later stages with additional arithmetic complexity. The multiresolution block matching process at each stage utilizes the results of its previous stages to further enhance the performance of MSMVQ. Simulation results show that the algorithm can be effectively applied to the applications where video decoders having different demands on the computational complexities and resolutions for block matching are desired to share the same video encoder.

Original languageEnglish
Pages (from-to)1994-2002
Number of pages9
JournalOptical Engineering
Volume39
Issue number7
DOIs
Publication statusPublished - 2000 Jan 1

Fingerprint

vector quantization
Vector quantization
Image coding
coding
decoders
Computational complexity
coders
simulation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

Multistage motion vector quantization for video coding. / Hwang, Wen-Jyi; Huang, Yu Chun.

In: Optical Engineering, Vol. 39, No. 7, 01.01.2000, p. 1994-2002.

Research output: Contribution to journalArticle

Hwang, Wen-Jyi ; Huang, Yu Chun. / Multistage motion vector quantization for video coding. In: Optical Engineering. 2000 ; Vol. 39, No. 7. pp. 1994-2002.
@article{840611d792b14c53b4fb737248b6ded6,
title = "Multistage motion vector quantization for video coding",
abstract = "We present a novel multiresolution block-matching scheme-based on multistage motion vector quantization (MSMVQ) for videocoding. The MSMVQ performs the block matching on the coarse-to-fine basis where rough results of block matching are provided at the earlier stages of MSMVQ with fast computation, and accurate results are given at the later stages with additional arithmetic complexity. The multiresolution block matching process at each stage utilizes the results of its previous stages to further enhance the performance of MSMVQ. Simulation results show that the algorithm can be effectively applied to the applications where video decoders having different demands on the computational complexities and resolutions for block matching are desired to share the same video encoder.",
author = "Wen-Jyi Hwang and Huang, {Yu Chun}",
year = "2000",
month = "1",
day = "1",
doi = "10.1117/1.602586",
language = "English",
volume = "39",
pages = "1994--2002",
journal = "Optical Engineering",
issn = "0091-3286",
publisher = "SPIE",
number = "7",

}

TY - JOUR

T1 - Multistage motion vector quantization for video coding

AU - Hwang, Wen-Jyi

AU - Huang, Yu Chun

PY - 2000/1/1

Y1 - 2000/1/1

N2 - We present a novel multiresolution block-matching scheme-based on multistage motion vector quantization (MSMVQ) for videocoding. The MSMVQ performs the block matching on the coarse-to-fine basis where rough results of block matching are provided at the earlier stages of MSMVQ with fast computation, and accurate results are given at the later stages with additional arithmetic complexity. The multiresolution block matching process at each stage utilizes the results of its previous stages to further enhance the performance of MSMVQ. Simulation results show that the algorithm can be effectively applied to the applications where video decoders having different demands on the computational complexities and resolutions for block matching are desired to share the same video encoder.

AB - We present a novel multiresolution block-matching scheme-based on multistage motion vector quantization (MSMVQ) for videocoding. The MSMVQ performs the block matching on the coarse-to-fine basis where rough results of block matching are provided at the earlier stages of MSMVQ with fast computation, and accurate results are given at the later stages with additional arithmetic complexity. The multiresolution block matching process at each stage utilizes the results of its previous stages to further enhance the performance of MSMVQ. Simulation results show that the algorithm can be effectively applied to the applications where video decoders having different demands on the computational complexities and resolutions for block matching are desired to share the same video encoder.

UR - http://www.scopus.com/inward/record.url?scp=0034226539&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034226539&partnerID=8YFLogxK

U2 - 10.1117/1.602586

DO - 10.1117/1.602586

M3 - Article

AN - SCOPUS:0034226539

VL - 39

SP - 1994

EP - 2002

JO - Optical Engineering

JF - Optical Engineering

SN - 0091-3286

IS - 7

ER -