MAPS: A new and efficient block-matching criterion for motion estimation

Ming Der Shieh, Ming Hwa Sheu, Yu Chin Hsu

研究成果: Paper

摘要

In this paper, a novel and efficient block-matching criterion called mean absolute error of projective sum (MAPS) is proposed to significantly reduce the computational complexity of block-based motion estimation. It can save about 78% computational load in comparison with that of the conventional mean absolute difference (MAD). Simulation results show that its prediction quality is close to the MAD's. By applying the partitioning technique in MAPS, the prediction quality can be further improved such that the proposed criterion can be applied in different applications for motion estimation. Further, according to its simple and regular properties, it is very suitable for VLSI implementation.

原文English
頁面1393-1396
頁數4
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3) - Ames, IA, USA
持續時間: 1996 八月 181996 八月 21

Other

OtherProceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3)
城市Ames, IA, USA
期間96-08-1896-08-21

指紋

Motion estimation
Computational complexity
mycophenolic adenine dinucleotide

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

引用此文

Shieh, M. D., Sheu, M. H., & Hsu, Y. C. (1996). MAPS: A new and efficient block-matching criterion for motion estimation. 1393-1396. 論文發表於 Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3), Ames, IA, USA, .
Shieh, Ming Der ; Sheu, Ming Hwa ; Hsu, Yu Chin. / MAPS : A new and efficient block-matching criterion for motion estimation. 論文發表於 Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3), Ames, IA, USA, .4 p.
@conference{717eb839515c43aa8f7ed276090d2bd3,
title = "MAPS: A new and efficient block-matching criterion for motion estimation",
abstract = "In this paper, a novel and efficient block-matching criterion called mean absolute error of projective sum (MAPS) is proposed to significantly reduce the computational complexity of block-based motion estimation. It can save about 78{\%} computational load in comparison with that of the conventional mean absolute difference (MAD). Simulation results show that its prediction quality is close to the MAD's. By applying the partitioning technique in MAPS, the prediction quality can be further improved such that the proposed criterion can be applied in different applications for motion estimation. Further, according to its simple and regular properties, it is very suitable for VLSI implementation.",
author = "Shieh, {Ming Der} and Sheu, {Ming Hwa} and Hsu, {Yu Chin}",
year = "1996",
month = "12",
day = "1",
language = "English",
pages = "1393--1396",
note = "Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3) ; Conference date: 18-08-1996 Through 21-08-1996",

}

Shieh, MD, Sheu, MH & Hsu, YC 1996, 'MAPS: A new and efficient block-matching criterion for motion estimation', 論文發表於 Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3), Ames, IA, USA, 96-08-18 - 96-08-21 頁 1393-1396.

MAPS : A new and efficient block-matching criterion for motion estimation. / Shieh, Ming Der; Sheu, Ming Hwa; Hsu, Yu Chin.

1996. 1393-1396 論文發表於 Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3), Ames, IA, USA, .

研究成果: Paper

TY - CONF

T1 - MAPS

T2 - A new and efficient block-matching criterion for motion estimation

AU - Shieh, Ming Der

AU - Sheu, Ming Hwa

AU - Hsu, Yu Chin

PY - 1996/12/1

Y1 - 1996/12/1

N2 - In this paper, a novel and efficient block-matching criterion called mean absolute error of projective sum (MAPS) is proposed to significantly reduce the computational complexity of block-based motion estimation. It can save about 78% computational load in comparison with that of the conventional mean absolute difference (MAD). Simulation results show that its prediction quality is close to the MAD's. By applying the partitioning technique in MAPS, the prediction quality can be further improved such that the proposed criterion can be applied in different applications for motion estimation. Further, according to its simple and regular properties, it is very suitable for VLSI implementation.

AB - In this paper, a novel and efficient block-matching criterion called mean absolute error of projective sum (MAPS) is proposed to significantly reduce the computational complexity of block-based motion estimation. It can save about 78% computational load in comparison with that of the conventional mean absolute difference (MAD). Simulation results show that its prediction quality is close to the MAD's. By applying the partitioning technique in MAPS, the prediction quality can be further improved such that the proposed criterion can be applied in different applications for motion estimation. Further, according to its simple and regular properties, it is very suitable for VLSI implementation.

UR - http://www.scopus.com/inward/record.url?scp=0030354080&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030354080&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030354080

SP - 1393

EP - 1396

ER -

Shieh MD, Sheu MH, Hsu YC. MAPS: A new and efficient block-matching criterion for motion estimation. 1996. 論文發表於 Proceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3), Ames, IA, USA, .