Presentation 1998/6/26
Motion Estimation Based on Software Pipelining with Conditional Branches
Katsumi TAKAYAMA, Takeshi UCHIDA, Hitoshi KIYA, Akihiko YAMADA,
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Abstract(in English) We propose a effecient processing method for motion estimation. This method is based on full search block matching without redundancy, Software pipelining with conditional branches is applied to scheduling for parallel processing. As a result, the total steps for motion vector detection are descreated by reduced amount of operations and parallel processing. Detected motion vectors keep the same precision as ones detected by conventional full search method. In consequence of our simulation we confirm the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) motion estimation / block matching / full search without redundancy / software pipelining
Paper # CAS98-25,VLD98-25,DSP98-54
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Committee CAS
Conference Date 1998/6/26(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Motion Estimation Based on Software Pipelining with Conditional Branches
Sub Title (in English)
Keyword(1) motion estimation
Keyword(2) block matching
Keyword(3) full search without redundancy
Keyword(4) software pipelining
1st Author's Name Katsumi TAKAYAMA
1st Author's Affiliation Department of Electrical Eng., Graduate School of Eng., Tokyo Metropolitan Univ.()
2nd Author's Name Takeshi UCHIDA
2nd Author's Affiliation Department of Electrical Eng., Graduate School of Eng., Tokyo Metropolitan Univ.
3rd Author's Name Hitoshi KIYA
3rd Author's Affiliation Department of Electrical Eng., Graduate School of Eng., Tokyo Metropolitan Univ.
4th Author's Name Akihiko YAMADA
4th Author's Affiliation Department of Electrical Eng., Graduate School of Eng., Tokyo Metropolitan Univ.
Date 1998/6/26
Paper # CAS98-25,VLD98-25,DSP98-54
Volume (vol) vol.98
Number (no) 140
Page pp.pp.-
#Pages 8
Date of Issue