WestminsterResearch

Linear algorithm and hexagonal search based two-pass algorithm for motion estimation

Wu, Yunsong and Megson, Graham M. (2005) Linear algorithm and hexagonal search based two-pass algorithm for motion estimation. In: Gagalowicz, André and Philips, Wilfried, (eds.) Computer Analysis of Images and Patterns: 11th International Conference, CAIP 2005, Versailles, France, September 5-8, 2005: proceedings. Lecture notes in computer science (3691). Springer-Verlag, Berlin, pp. 554-561. ISBN 9783540289692

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Official URL: http://dx.doi.org/10.1007/11556121_68

Abstract

This paper presents a novel two-pass algorithm constituted by Linear Hashtable Motion Estimation Algorithm (LHMEA) and Hexagonal Search (HEXBS) for block base motion compensation. On the basis of research from previous algorithms, especially an on-the-edge motion estimation algorithm called hexagonal search (HEXBS), we propose the LHMEA and the Two-Pass Algorithm (TPA). We introduced hashtable into video compression. In this paper we employ LHMEA for the first-pass search in all the Macroblocks (MB) in the picture. Motion Vectors (MV) are then generated from the first-pass and are used as predictors for second-pass HEXBS motion estimation, which only searches a small number of MBs. The evaluation of the algorithm considers the three important metrics being time, compression rate and PSNR. The performance of the algorithm is evaluated by using standard video sequences and the results are compared to current algorithms. Experimental results show that the proposed algorithm can offer the same compression rate as the Full Search. LHMEA with TPA has significant improvement on HEXBS and shows a direction for improving other fast motion estimation algorithms, for example Diamond Search.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:5810
Deposited On:03 Feb 2009 15:16
Last Modified:20 Oct 2009 14:32

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