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Multi-1D block matching algorithm based motion estimation processor using mixed-signal approach

  • Shin Yeu Lin*
  • , Chong Wei Su
  • , Jung Shou Huang
  • *Corresponding author for this work
  • Chang Gung University
  • National Yang Ming Chiao Tung University
  • Elan Microelectronics Corporation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a Mixed Signal Parallel Multi 1Dimensional Block Matching Algorithm (MSPM-1D-BMA) based motion estimation (ME) processor. In contrast to the typical 2Dimensional full search block matching algorithm (2DFSBMA), the MSPM-1D-BMA based ME processor will greatly reduce the number of data movements in between memories. We employ a voting algorithm in the proposed ME processor to improve the accuracy of motion vector (MV) estimation. We have demonstrated that the MV estimation accuracy achieved by the proposed ME processor is much better than the existing fast block matching algorithms and is close to 2DFSBMA. We also demonstrated that the speed of the proposed ME processor approaches two times as that of the mixed signal 2DFSBMA based ME processor.

Original languageEnglish
Title of host publication11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
PublisherIEEE Computer Society
Pages854-859
Number of pages6
ISBN (Print)9781424478132
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

Name11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Keywords

  • Full search block matching
  • Mixed signal
  • Motion estimation
  • Motion vector

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