Multiple global affine motion model for H.264 video coding with low bit rate

Xiaohuan Li*, Joel R. Jackson, Aggelos K. Katsaggelos, Russell M. Merserau

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

A multiple global affine motion model is proposed for low bit rate video compression. Block-wise motion segmentation is first performed with the number of motion objects L predefined. The affine motion models for multiple MOs are estimated and coded in the frame header. The scaling parameters al, a2, a4 and a5 are coded with a 4-dimensional vector-quantizer (VQ), whose 16 most recently used code words are maintained on line and searched for VQ match, and the 300-word long main code book stored offline. The translational parameters a3 and a6 are coded predicatively as a classical motion vector. L new macro-block modes are added to the standard's list of 7 infra and inter modes. No segmentation information is transmitted, for the mode already indicates that if one of the affine modes is selected by Lagrange rate-distortion optimization. A metric S is defined to measure locality of the motion and will disable use of affine models when a threshold is surpassed. Simulation shows that abut 20-40% of the MB's choose one of the affine modes. When 100kbps or lower band widths are available, the proposed codec not only saves 1-18% bit rate, but also enhances error-resilience in multiple slice frames and reduces blocking artifacts notably.

Original languageEnglish (US)
Article number18
Pages (from-to)185-194
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5685
Issue numberPART 1
DOIs
StatePublished - Jul 21 2005
EventProceedings of SPIE-IS and T Electronic Imaging - Image and Video Communications and Processing 2005 - San Jose, CA, United States
Duration: Jan 18 2005Jan 20 2005

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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