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

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
Pages854-859
Number of pages6
DOIs
StatePublished - 2010
Event11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 - Singapore, Singapore
Duration: 07 12 201010 12 2010

Publication series

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

Conference

Conference11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Country/TerritorySingapore
CitySingapore
Period07/12/1010/12/10

Keywords

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

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