Adaptive multiresolution motion estimation techniques for wavelet-based video coding

M. K. Mandal, T. Aboulnasr, S. Panchanathan

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations

Abstract

Wavelet transform is an important tool for image and video coding applications. Several motion estimation techniques have been proposed in the wavelet domain. The coarse-to-fine motion estimation techniques generally have a lower complexity at the expense of inaccurate estimation. On the other hand, the fine-to-coarse motion estimation techniques provide a superior estimation, but at a higher complexity. In this paper, we propose an efficient video coder in the wavelet domain. First, we propose an adaptive resolution selection for motion estimation where a lowpass subband at an appropriate scale is employed for coarse motion estimation. The motion vectors of subbands from higher/lower resolutions are then predicted from the coarse motion vectors and are further refined using a small search window. Secondly, we propose an adaptive bit allocation technique where the bits are allocated optimally between the motion vectors and the displaced frame difference. This is performed by minimizing a cost function based on the Lagrange multiplier method. Simulation result shows that the proposed video coder provides a superior coding performance compared to other multiresolution techniques proposed in the literature.

Original languageEnglish (US)
Pages (from-to)965-974
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3309
Issue number2
DOIs
StatePublished - Dec 1 1998
Externally publishedYes
EventVisual Communications and Image Processing '98 - San Jose, CA, United States
Duration: Jan 28 1998Jan 30 1998

Keywords

  • Adaptive Bit Allocation
  • Motion Estimation
  • Multiresolution Decomposition
  • Video Compression
  • Wavelets

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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