A fast motion estimation using a three-dimensional reference motion vector

K. C. Lai, Siu Chung Wong

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)


Based on a study of the motion vector (MV) obtained by the Full Search algorithm among several test sequences, we found that the prediction process for motion estimation in many existing algorithms are not optimal. We optimize the prediction process by classifying the blocks into four different classes based on a newly proposed three-dimensional reference MV. Different search patterns and strategies are used for each class. The proposed algorithm can improve computation requirement as high as 43.9% than the diamond search algorithm.
Original languageEnglish
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 11 Jul 2002
Event2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States
Duration: 13 May 200217 May 2002

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


Dive into the research topics of 'A fast motion estimation using a three-dimensional reference motion vector'. Together they form a unique fingerprint.

Cite this