Motion field prediction and restoration for low bit-rate video coding

S. N. Efstratiadis; M. G. Strintzis; A. K. Katsaggelos

Motion field prediction and restoration for low bit-rate video coding

S. N. Efstratiadis^*, M. G. Strintzis, A. K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Motion vector field (MVF) prediction methods are presented followed by a restoration method. These methods combined with a proposed motion compensated (MC) video coding scheme are suitable for low bitrate transmission. An expression is derived for the initial estimate of the working MVF based on the preceding MVF. Spatio-temporally adaptive regularization is applied using neighborhood information. The output MVF is used as the initial prediction estimate for a Kalman MVF restoration approach. By applying this method to both the encoder and decoder, the resulting MC MVF and image intensity temporal updates are coded and transmitted. The restoration method produces accurate estimates of the MVF, thus resulting in a significant transmission cost reduction. Experiments with standard video-conference image sequences demonstrate the improved performance of the proposed scheme.

Original language	English (US)
Title of host publication	IEEE International Conference on Image Processing
Editors	Anon
Publisher	IEEE
Pages	213-216
Number of pages	4
Volume	2
State	Published - Jan 1 1996
Event	Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA Duration: Oct 23 1995 → Oct 26 1995

Other

Other	Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
City	Washington, DC, USA
Period	10/23/95 → 10/26/95

ASJC Scopus subject areas

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

Cite this

@inproceedings{d631655e7b224b3e9ec0005c8a08efa4,

title = "Motion field prediction and restoration for low bit-rate video coding",

abstract = "Motion vector field (MVF) prediction methods are presented followed by a restoration method. These methods combined with a proposed motion compensated (MC) video coding scheme are suitable for low bitrate transmission. An expression is derived for the initial estimate of the working MVF based on the preceding MVF. Spatio-temporally adaptive regularization is applied using neighborhood information. The output MVF is used as the initial prediction estimate for a Kalman MVF restoration approach. By applying this method to both the encoder and decoder, the resulting MC MVF and image intensity temporal updates are coded and transmitted. The restoration method produces accurate estimates of the MVF, thus resulting in a significant transmission cost reduction. Experiments with standard video-conference image sequences demonstrate the improved performance of the proposed scheme.",

author = "Efstratiadis, {S. N.} and Strintzis, {M. G.} and Katsaggelos, {A. K.}",

year = "1996",

month = jan,

day = "1",

language = "English (US)",

volume = "2",

pages = "213--216",

editor = "Anon",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE",

note = "Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) ; Conference date: 23-10-1995 Through 26-10-1995",

}

TY - GEN

T1 - Motion field prediction and restoration for low bit-rate video coding

AU - Efstratiadis, S. N.

AU - Strintzis, M. G.

AU - Katsaggelos, A. K.

PY - 1996/1/1

Y1 - 1996/1/1

N2 - Motion vector field (MVF) prediction methods are presented followed by a restoration method. These methods combined with a proposed motion compensated (MC) video coding scheme are suitable for low bitrate transmission. An expression is derived for the initial estimate of the working MVF based on the preceding MVF. Spatio-temporally adaptive regularization is applied using neighborhood information. The output MVF is used as the initial prediction estimate for a Kalman MVF restoration approach. By applying this method to both the encoder and decoder, the resulting MC MVF and image intensity temporal updates are coded and transmitted. The restoration method produces accurate estimates of the MVF, thus resulting in a significant transmission cost reduction. Experiments with standard video-conference image sequences demonstrate the improved performance of the proposed scheme.

AB - Motion vector field (MVF) prediction methods are presented followed by a restoration method. These methods combined with a proposed motion compensated (MC) video coding scheme are suitable for low bitrate transmission. An expression is derived for the initial estimate of the working MVF based on the preceding MVF. Spatio-temporally adaptive regularization is applied using neighborhood information. The output MVF is used as the initial prediction estimate for a Kalman MVF restoration approach. By applying this method to both the encoder and decoder, the resulting MC MVF and image intensity temporal updates are coded and transmitted. The restoration method produces accurate estimates of the MVF, thus resulting in a significant transmission cost reduction. Experiments with standard video-conference image sequences demonstrate the improved performance of the proposed scheme.

UR - http://www.scopus.com/inward/record.url?scp=0029733223&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029733223&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0029733223

VL - 2

SP - 213

EP - 216

BT - IEEE International Conference on Image Processing

A2 - Anon, null

PB - IEEE

T2 - Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)

Y2 - 23 October 1995 through 26 October 1995

ER -

Motion field prediction and restoration for low bit-rate video coding

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this