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Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors
Taipei, Taiwan November 11-November 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMSE.2000.8972322000 International Symposium on Multi ...
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Soo-Mok Jung, Sung-Chul Shin, Hyunki Baik, Myong-S Park, "Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors," Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on, pp. 332, 2000 International Symposium on Multimedia Software Engineering, 2000.
 
 
BibTex
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@article{ 10.1109/MMSE.2000.897232,
author = {Soo-Mok Jung and Sung-Chul Shin and Hyunki Baik and Myong-S Park},
title = {Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors},
journal ={Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on},
volume = {0},
year = {2000},
isbn = {0-7695-0933-9},
pages = {332},
doi = {http://doi.ieeecomputersociety.org/10.1109/MMSE.2000.897232},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on
TI - Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors
SN - 0-7695-0933-9
SP
EP
A1 - Soo-Mok Jung,
A1 - Sung-Chul Shin,
A1 - Hyunki Baik,
A1 - Myong-S Park,
PY - 2000
KW - null
VL - 0
JA - Microelectronics Systems Education, IEEE International Conference on/Multimedia Software Engineering, International Symposium on
ER -
 
In this paper, we present fast algorithms to reduce the computations of block matching algorithms for motion estimation in video coding. Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors are based on the Successive Elimination Algorithm for Motion Estimation [l] and the Fast Algorithms for the Estimation of Motion Vectors [2]. Nobel Successive Elimination Algorithms effectively eliminate the search points within the search window and thus decreasing the number of matching evaluation that requires very intensive computations. The efficiency of the each proposed algorithm was verified by experimental results
Citation:
Soo-Mok Jung, Sung-Chul Shin, Hyunki Baik, Myong-S Park, "Nobel Successive Elimination Algorithms for the Estimation of Motion Vectors," mse, pp.332, 2000 International Symposium on Multimedia Software Engineering, 2000
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