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Low power variable block size motion estimation using pixel truncation
 

Summary: Low power variable block size motion estimation
using pixel truncation
Asral Bahari, Tughrul Arslan and Ahmet T. Erdogan
School of Engineering and Electronics, University of Edinburgh
United Kingdom
Email: {a.bahari, tughrul.arslan, ahmet.erdogan}@ed.ac.uk
Abstract-- This paper presents a method of low-power
variable-block-size motion estimation using pixel truncation.
Previous work focused on implementing pixel truncation using
fixed-block-size motion estimation. However, pixel truncation fails
to give satisfactory results for smaller block partitions. In this
paper, we analyse the effect of truncating pixels for smaller block
partitions and propose a method to improve the frame prediction.
To further reduce power consumption, we adopt low-complexity
matching criteria for the highly truncated bit. The low-complexity
matching criteria can work together with pixel truncation to
reduce computational complexity without significantly degrading
picture quality.
I. INTRODUCTION
Video compression plays an important role in today's

  

Source: Arslan, Tughrul - School of Engineering and Electronics, University of Edinburgh

 

Collections: Engineering