On the performance improvement of sub-sampling MPEG-2 motion estimation algorithms with Vector/SIMD architectures

  • Authors:
  • Vasilios A. Chouliaras;Vincent M. Dwyer;Sharukh Agha

  • Affiliations:
  • Department of Electronic and Electrical Engineering, Loughborough University, UK;Department of Electronic and Electrical Engineering, Loughborough University, UK;Department of Electronic and Electrical Engineering, Loughborough University, UK

  • Venue:
  • ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
  • Year:
  • 2005

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Abstract

The performance improvement of a number of motion estimation algorithms are evaluated following vector/SIMD instruction set extensions for MPEG-2 TM5 video encoding. Simulation-based results indicate a substantial complexity metric reduction for Full-Search, Three Step Search, Four Step Search and Diamond Search making the later three appropriate for execution on a high performance embedded VLSI platform. A simple model is developed to explain the simulated results, and a compound performance/power metric, the complexity-power-product (CPP), is proposed for algorithmic optimisation in vectorized applications for low-power, consumer devices.