Expert system based parallel multi-1D block matching algorithm with implementation for motion estimation

  • Authors:
  • Shin-Yeu Lin;Chong-Wei Su;Jung-Shou Huang

  • Affiliations:
  • Department of Electrical Engineering & Green Technology Research Center at Chang Gung University, Taoyuan, Taiwan, ROC;Institute of Electrical and Control Engineering at National Chiao Tung University, Hsinchu, Taiwan, ROC;Elan Electronics Corporation, Hsinchu, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

Quantified Score

Hi-index 12.05

Visualization

Abstract

In this paper, we propose an expert-system based parallel multi-1-dimensional block matching algorithm (ESPM-1D-BMA) for motion estimation (ME). Instead of the conventional 2D block matching, we employ the parallel multi-1D blocks matching to improve the computing speed. To improve the ME accuracy, we design a knowledge base and inference engine to determine the true motion vector (MV) from the results of parallel multi-1D blocks matching. To speed up the computing speed further, we present a hardware architecture for implementing the ESPM-1D-BMA. We have demonstrated that the MV estimation accuracy achieved by the proposed ESPM-1D-BMA is much better than the comparing fast block matching algorithms and is close to the 2 dimensional full search block matching algorithm (2D-FSBMA). We also demonstrate that the computing speed of the proposed ESPM-1D-BMA is about two times as fast as the mixed-signal 2D-FSBMA (MS-2D-FSBMA).