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

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

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 journal › Conference article › peer-review

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 language	English
Pages (from-to)	236-237
Number of pages	2
Journal	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Publication status	Published - 2000
Event	ICCE 2000 - International Conference on Consumer Electronics - Los Angeles, CA, USA Duration: 2000 Jun 13 → 2000 Jun 15

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Cite this

@article{f7d469aa27e845389db2a491ae2bd71b,

title = "Fast full search motion estimation algorithm using the sum of partial norms",

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).",

author = "Oh, {Tae Myoung} and Kim, {Young Ro} and Hong, {Won Gi} and Ko, {Sung Jea}",

year = "2000",

language = "English",

pages = "236--237",

journal = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

issn = "0747-668X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "ICCE 2000 - International Conference on Consumer Electronics ; Conference date: 13-06-2000 Through 15-06-2000",

}

TY - JOUR

T1 - Fast full search motion estimation algorithm using the sum of partial norms

AU - Oh, Tae Myoung

AU - Kim, Young Ro

AU - Hong, Won Gi

AU - Ko, Sung Jea

PY - 2000

Y1 - 2000

N2 - 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).

AB - 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).

UR - http://www.scopus.com/inward/record.url?scp=0033715217&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033715217&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0033715217

SN - 0747-668X

SP - 236

EP - 237

JO - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

JF - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

T2 - ICCE 2000 - International Conference on Consumer Electronics

Y2 - 13 June 2000 through 15 June 2000

ER -

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

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this