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Low Computation and Memory Access for Variable Block Size Motion Estimation Using Pixel Truncation

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3 Author(s)
Asral Bahari ; School of Engineering and Electronics, University of Edinburgh, United Kingdom, Email: a.bahari@ed.ac.uk ; Tughrul Arslan ; Ahmet T. Erdogan

This paper presents a method to reduce the computation and memory access for variable-block-size motion estimation using pixel truncation. Previous work has focused on implementing pixel truncation using a fixed-block-size (16×16 pixels) 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. Our method is able to reduce the total computation and memory access compared to conventional full search method without significantly degrading picture quality.

Published in:

2007 IEEE Workshop on Signal Processing Systems

Date of Conference:

17-19 Oct. 2007