A locally adaptive subsampling algorithm for software based motion estination

S. Hiratsuka, S. Goto, Takaaki Baba, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages2891-2894
Number of pages4
DOIs
Publication statusPublished - 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26

Other

OtherIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
CountryJapan
CityKobe
Period05/5/2305/5/26

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Hiratsuka, S., Goto, S., Baba, T., & Ikenaga, T. (2005). A locally adaptive subsampling algorithm for software based motion estination. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 2891-2894). [1465231] https://doi.org/10.1109/ISCAS.2005.1465231