A locally adaptive subsampling algorithm for software based motion estination

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

Research output: Contribution to journalConference article

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 languageEnglish
Article number1465231
Pages (from-to)2891-2894
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - 2005 Dec 1
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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