Fast full search motion estimation algorithm using the sum of partial norms

Tae Myoung Oh, Young Ro Kim, Won Gi Hong, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In this paper, we propose a fast block motion estimation algorithm using the sum of partial norms which finds the same motion vectors as the exhaustive full search algorithm with a reduced computational load. Experimental results show that the proposed algorithm is about 3 or 4 times faster than the original exhaustive full search, and is about 2 times faster than the successive elimination algorithm (SEA).

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages236-237
Number of pages2
Publication statusPublished - 2000
EventICCE 2000 - International Conference on Consumer Electronics - Los Angeles, CA, USA
Duration: 2000 Jun 132000 Jun 15

Other

OtherICCE 2000 - International Conference on Consumer Electronics
CityLos Angeles, CA, USA
Period00/6/1300/6/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Oh, T. M., Kim, Y. R., Hong, W. G., & Ko, S-J. (2000). Fast full search motion estimation algorithm using the sum of partial norms. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 236-237)