Backward adaptive pixel-based fast predictive motion estimation

X Chen, CN Canagarajah, JL Nunez-Yanez

Research output: Contribution to journalArticle (Academic Journal)peer-review

10 Citations (Scopus)
472 Downloads (Pure)


This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by-pixel basis by comparing a group of past observed pixels in two adjacent frames, eliminating the need of transmitting side information. Combined with prediction and a fast search technique, the proposed algorithm achieves better entropy results and significant reduction in computation than pixel-based full search for a set of standard test sequences. Experimental results also suggest that BAPME is superior to block-based full search in terms of speed and zero-order entropy
Translated title of the contributionBackward adaptive pixel-based fast predictive motion estimation
Original languageEnglish
Pages (from-to)370 - 373
Number of pages4
JournalIEEE Signal Processing Letters
Issue number5
Publication statusPublished - May 2009

Bibliographical note

Publisher: IEEE
Rose publication type: Journal article

Sponsorship: This work was supported by EPSRC under
grant EP/D011639/1

Terms of use: Copyright © 2009 IEEE. Reprinted from IEEE Signal Processing Letters.

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  • fast search
  • lossless video compression
  • motion estimation
  • pixel-based prediction
  • predictive search


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