Lossless video compression based on backward adaptive pixel-based fast motion estimation

  • Authors:

  • Xiaolin Chen;Nishan Canagarajah;Jose L. Nunez-Yanez;Raffaele Vitulli

  • Affiliations:

  • Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS8 1UB, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS8 1UB, UK;Department of Electrical and Electronic Engineering, University of Bristol, Bristol, BS8 1UB, UK;European Space Agency (ESA), On-Board Payload Data Processing Section, The Netherlands

  • Venue:
  • Image Communication
  • Year:
  • 2012

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Abstract

This paper presents a lossless video compression system based on a novel Backward Adaptive pixel-based fast Predictive Motion Estimation (BAPME). Unlike the widely used block-matching motion estimation techniques, this scheme predicts the motion on a pixel-by-pixel basis by comparing a group of past observed pixels between 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 show that BAPME outperforms block-based full search in terms of speed and entropy. We also provide the sub-pixel version of BAPME as well as integrate BAPME in a complete lossless video compression system. The experimental results are superior to the selected state-of-the-art schemes.