A successive termination and elimination method for fast H.264/AVC SATD-based inter mode decision

Wang, H. M.; Lin, Ji-Kun; Yang, Jar‐Ferr

doi:10.1049/iet-spr.2008.0184

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…They can be roughly classified into lossy and lossless algorithms. Lossless algorithms such as successive elimination-based algorithms [3], [4] have the same search quality as FS, but they speed up FS by eliminating unnecessary candidate points as early as possible. The representative lossy algorithms [5]- [8] perform decimation of candidate points.…”

Section: Introductionmentioning

confidence: 98%

MESIP: A Configurable and Data Reusable Motion Estimation Specific Instruction-Set Processor

Kim

Sunwoo

2013

IEEE Trans. Circuits Syst. Video Technol.

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This paper proposes a new motion estimation (ME)-specific instruction-set processor (MESIP) with a novel search scan order with high data reusability, to efficiently implement various advanced ME algorithms. The proposed ME-specific instructions can be selectively used for ME algorithms. The novel data-reusing search scan order, called center biased search scan (CBSS), exploits the symmetry of the search pattern to reduce redundant data loading on MESIP by about 26.9% and 16.1% compared with raster scan and snake scan, respectively. MESIP has been implemented with IBM's 90-nm CMOS technology and has 203K gates excluding memory. Simulation results show that the proposed MESIP can reduce the number of required instructions by up to 18.9% compared with existing ME processors. Moreover, MESIP achieves comparable performance even with ME ASICs and hence may be quite suitable for a low-power and high-performance ME implementation.Index Terms-Application-specific instruction-set processor (ASIP), configurable architecture, low-power design, motion estimation/motion compensation (ME/MC), search scan order.

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Section: Introductionmentioning

confidence: 98%

MESIP: A Configurable and Data Reusable Motion Estimation Specific Instruction-Set Processor

Kim

Sunwoo

2013

IEEE Trans. Circuits Syst. Video Technol.

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show abstract

“…They can be roughly classified into lossy and lossless algorithms. Lossless algorithms such as successive elimination based algorithms [3], [4] have the same search quality as FS, but they gained more speed FS by eliminating unnecessary candidate points as early as possible. The representative lossy algorithm is the decimation of candidate points.…”

Section: Introductionmentioning

confidence: 99%

Data reusable search scan methods for low power motion estimation

Kim

Baek

Burm

et al. 2012

2012 IEEE International Symposium on Circuits and Systems

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This paper proposes the data reusable search scan methods for low power Motion Estimation (ME). The proposed Optimized Sub-region Partitioning (OSP) method can reduce the number of the required registers with the same data reusability. In addition, the proposed Center Biased Search Scan method (CBSS) for various fast search algorithms can improve the data reusability. The performance comparisons show that the proposed search scan methods can reduce redundant data loading average about 26.9% and 16.1% compared with raster scan and snake scan methods, respectively. Due to reduction of memory accesses, the proposed search scan methods are quite suitable for low power and high performance ME implementation.I.

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Implementation of H.264 integer motion estimation using simple square patterns

Song

Kim

2009

2009 9th International Symposium on Communications and Information Technology

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A successive termination and elimination method for fast H.264/AVC SATD-based inter mode decision

Cited by 6 publications

References 5 publications

MESIP: A Configurable and Data Reusable Motion Estimation Specific Instruction-Set Processor

MESIP: A Configurable and Data Reusable Motion Estimation Specific Instruction-Set Processor

Data reusable search scan methods for low power motion estimation

Implementation of H.264 integer motion estimation using simple square patterns

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