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: Contribution to journalConference articlepeer-review

1 Citation (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
Pages (from-to)236-237
Number of pages2
JournalDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Publication statusPublished - 2000
EventICCE 2000 - International Conference on Consumer Electronics - Los Angeles, CA, USA
Duration: 2000 Jun 132000 Jun 15

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Fast full search motion estimation algorithm using the sum of partial norms'. Together they form a unique fingerprint.

Cite this