Multiscale motion estimation for scalable video coding

Ravi Krishnamurthy, Pierre Moulin, John W. Woods

Research output: Contribution to conferencePaper

Abstract

Motion estimation is an important component of video coding systems because it enables us to exploit the temporal redundancy in the sequence. The popular block-matching algorithms (BMAs) produce unnatural, piecewise constant motion fields that do not correspond to `true' motion. In contrast, our focus here is on high-quality motion estimates that produce a video representation that is less dependent on the specific frame-rate or resolution. To this end, we present an iterated registration algorithm that extends previous work on multiscale motion models and gradient-based estimation for coding applications. We obtain improved motion estimates and higher overall coding performance. Promising applications are found in temporally-scalable video coding with motion-compensated frame interpolation at the decoder. We obtain excellent interpolation performance and video quality; in contrast, BMA leads to annoying artifacts near moving image edges.

Original languageEnglish (US)
Pages965-968
Number of pages4
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

Fingerprint

Scalable video coding
Motion estimation
Interpolation
Image coding
Redundancy

ASJC Scopus subject areas

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

Cite this

Krishnamurthy, R., Moulin, P., & Woods, J. W. (1996). Multiscale motion estimation for scalable video coding. 965-968. Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, .

Multiscale motion estimation for scalable video coding. / Krishnamurthy, Ravi; Moulin, Pierre; Woods, John W.

1996. 965-968 Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, .

Research output: Contribution to conferencePaper

Krishnamurthy, R, Moulin, P & Woods, JW 1996, 'Multiscale motion estimation for scalable video coding', Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, 9/16/96 - 9/19/96 pp. 965-968.
Krishnamurthy R, Moulin P, Woods JW. Multiscale motion estimation for scalable video coding. 1996. Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, .
Krishnamurthy, Ravi ; Moulin, Pierre ; Woods, John W. / Multiscale motion estimation for scalable video coding. Paper presented at Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switz, .4 p.
@conference{6d1fd7f6f2e44a4bbfeedce60d57b300,
title = "Multiscale motion estimation for scalable video coding",
abstract = "Motion estimation is an important component of video coding systems because it enables us to exploit the temporal redundancy in the sequence. The popular block-matching algorithms (BMAs) produce unnatural, piecewise constant motion fields that do not correspond to `true' motion. In contrast, our focus here is on high-quality motion estimates that produce a video representation that is less dependent on the specific frame-rate or resolution. To this end, we present an iterated registration algorithm that extends previous work on multiscale motion models and gradient-based estimation for coding applications. We obtain improved motion estimates and higher overall coding performance. Promising applications are found in temporally-scalable video coding with motion-compensated frame interpolation at the decoder. We obtain excellent interpolation performance and video quality; in contrast, BMA leads to annoying artifacts near moving image edges.",
author = "Ravi Krishnamurthy and Pierre Moulin and Woods, {John W.}",
year = "1996",
month = "12",
day = "1",
language = "English (US)",
pages = "965--968",
note = "Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) ; Conference date: 16-09-1996 Through 19-09-1996",

}

TY - CONF

T1 - Multiscale motion estimation for scalable video coding

AU - Krishnamurthy, Ravi

AU - Moulin, Pierre

AU - Woods, John W.

PY - 1996/12/1

Y1 - 1996/12/1

N2 - Motion estimation is an important component of video coding systems because it enables us to exploit the temporal redundancy in the sequence. The popular block-matching algorithms (BMAs) produce unnatural, piecewise constant motion fields that do not correspond to `true' motion. In contrast, our focus here is on high-quality motion estimates that produce a video representation that is less dependent on the specific frame-rate or resolution. To this end, we present an iterated registration algorithm that extends previous work on multiscale motion models and gradient-based estimation for coding applications. We obtain improved motion estimates and higher overall coding performance. Promising applications are found in temporally-scalable video coding with motion-compensated frame interpolation at the decoder. We obtain excellent interpolation performance and video quality; in contrast, BMA leads to annoying artifacts near moving image edges.

AB - Motion estimation is an important component of video coding systems because it enables us to exploit the temporal redundancy in the sequence. The popular block-matching algorithms (BMAs) produce unnatural, piecewise constant motion fields that do not correspond to `true' motion. In contrast, our focus here is on high-quality motion estimates that produce a video representation that is less dependent on the specific frame-rate or resolution. To this end, we present an iterated registration algorithm that extends previous work on multiscale motion models and gradient-based estimation for coding applications. We obtain improved motion estimates and higher overall coding performance. Promising applications are found in temporally-scalable video coding with motion-compensated frame interpolation at the decoder. We obtain excellent interpolation performance and video quality; in contrast, BMA leads to annoying artifacts near moving image edges.

UR - http://www.scopus.com/inward/record.url?scp=0030421181&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030421181&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030421181

SP - 965

EP - 968

ER -