Skip to content

Backward adaptive pixel-based fast predictive motion estimation

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)370 - 373
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number5
DOIs
DatePublished - May 2009

Abstract

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

Additional information

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. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

    Research areas

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

Download statistics

No data available

Documents

Documents

Links

DOI

View research connections

Related faculties, schools or groups