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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
PublisherIEEE
Pages213-216
Number of pages4
Volume2
StatePublished - Jan 1 1996
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: Oct 23 1995Oct 26 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period10/23/9510/26/95

ASJC Scopus subject areas

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

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