Edge oriented block motion estimation for video coding

Yui Lam Chan, W. C. Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

32 Citations (Scopus)

Abstract

Intensity-based block motion estimation and compensation algorithms are widely used to exploit temporal redundancies in video coding, although they suffer from several drawbacks. One of the problems is that blocks located on boundaries of moving objects are not estimated accurately. It causes poor motion-compensated prediction along the moving edges to which the human visual system is very sensitive. By considering the characteristics of block motions for typical image sequences, an intelligent classifier is proposed to separate blocks containing moving edges to improve on conventional intensity-based block matching approaches. The motion vectors of these blocks are computed using edge matching techniques, so that the motion-compensated frames are tied more closely to the physical features. The proposed method can then make use of this accurate motion information for edge blocks to compute the remaining non-edged blocks. Consequently, a fast and efficient block motion estimation algorithm is developed. s 'Experimental results show that this approach gives a significant improvement in accuracy for motioncompensated frames and computational complexity, in comparison with the traditional intensity-based block motion estimation methods.
Original languageEnglish
Pages (from-to)136-144
Number of pages9
JournalIEE Proceedings: Vision, Image and Signal Processing
Volume144
Issue number3
DOIs
Publication statusPublished - 1 Jan 1997

Keywords

  • Motion estimation
  • Video coding

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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