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

  • Authors:

  • Yunsong Wu;Graham Megson

  • Affiliations:

  • School of Systems Engineering, Reading University, Reading, UK;School of Systems Engineering, Reading University, Reading, UK

  • Venue:
  • CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
  • Year:
  • 2005

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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.