A locally adaptive subsampling algorithm for software based motion estination

S. Hiratsuka; S. Goto; T. Baba; T. Ikenaga

doi:10.1109/ISCAS.2005.1465231

A locally adaptive subsampling algorithm for software based motion estination

S. Hiratsuka^*, S. Goto, T. Baba, T. Ikenaga

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Motion estimation is an important technology in video coding system. Although many algorithms have been proposed to reduce its computational complexity, they are still insufficient for implementation of a software based system. This paper proposes several techniques for low-complexity motion estimation, such as a locally adaptive subsampling. Since they reduce the number of SAD operations, the computational complexity can be dramatically reduced while maintaining high image quality. Simulation results show that the proposed algorithm has about 20 times the speedup than TSS. This means that the proposed algorithms can attain enough processing performance for real-time implementation on embedded processors. Furthermore, PSNR of our method is about 0.2dB superior to that of TSS.

Original language	English
Article number	1465231
Pages (from-to)	2891-2894
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1465231
Publication status	Published - 2005 Dec 1
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: 2005 May 23 → 2005 May 26

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ISCAS.2005.1465231

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title = "A locally adaptive subsampling algorithm for software based motion estination",

abstract = "Motion estimation is an important technology in video coding system. Although many algorithms have been proposed to reduce its computational complexity, they are still insufficient for implementation of a software based system. This paper proposes several techniques for low-complexity motion estimation, such as a locally adaptive subsampling. Since they reduce the number of SAD operations, the computational complexity can be dramatically reduced while maintaining high image quality. Simulation results show that the proposed algorithm has about 20 times the speedup than TSS. This means that the proposed algorithms can attain enough processing performance for real-time implementation on embedded processors. Furthermore, PSNR of our method is about 0.2dB superior to that of TSS.",

author = "S. Hiratsuka and S. Goto and T. Baba and T. Ikenaga",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ISCAS.2005.1465231",

language = "English",

pages = "2891--2894",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

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

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

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TY - JOUR

T1 - A locally adaptive subsampling algorithm for software based motion estination

AU - Hiratsuka, S.

AU - Goto, S.

AU - Baba, T.

AU - Ikenaga, T.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Motion estimation is an important technology in video coding system. Although many algorithms have been proposed to reduce its computational complexity, they are still insufficient for implementation of a software based system. This paper proposes several techniques for low-complexity motion estimation, such as a locally adaptive subsampling. Since they reduce the number of SAD operations, the computational complexity can be dramatically reduced while maintaining high image quality. Simulation results show that the proposed algorithm has about 20 times the speedup than TSS. This means that the proposed algorithms can attain enough processing performance for real-time implementation on embedded processors. Furthermore, PSNR of our method is about 0.2dB superior to that of TSS.

AB - Motion estimation is an important technology in video coding system. Although many algorithms have been proposed to reduce its computational complexity, they are still insufficient for implementation of a software based system. This paper proposes several techniques for low-complexity motion estimation, such as a locally adaptive subsampling. Since they reduce the number of SAD operations, the computational complexity can be dramatically reduced while maintaining high image quality. Simulation results show that the proposed algorithm has about 20 times the speedup than TSS. This means that the proposed algorithms can attain enough processing performance for real-time implementation on embedded processors. Furthermore, PSNR of our method is about 0.2dB superior to that of TSS.

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EP - 2894

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

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T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

A locally adaptive subsampling algorithm for software based motion estination

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