JOURNAL ARTICLE

A highly parallel SAD architecture for motion estimation in HEVC encoder

Abstract

The high computational cost of the motion estimation module in the new HEVC standard raises the need for efficient hardware architectures that can meet the real-time processing constraint. In addition, targeting HD and UHD resolutions increases the motion estimation processing cost beyond the capabilities of the currently existing architectures. \n \nThis paper presents a highly parallel sum of absolute difference (SAD) architecture for motion estimation in HEVC encoder. The proposed architecture has 64 PUs operating in parallel to calculate the SAD values of the prediction blocks. It processes block sizes from 4x4 up to 64x64. The proposed architecture has been prototyped, simulated and synthesized on Xilinx Virtix-7 XC7VX550T FPGA. At 458 MHz clock frequency, the proposed architecture processes 30 2K resolution fps with ±20 pixels search range. The prototyped architecture utilizes 7% of the LUTs and 5% of the slice registers in Xilinx Virtex-7 XC7VX550T FPGA.

Keywords:
Encoder Computer science Field-programmable gate array Motion estimation Architecture Pixel Parallel architecture Block (permutation group theory) Virtex Clock rate Coding (social sciences) Computer hardware Parallel computing Real-time computing Algorithm Artificial intelligence Chip

Metrics

34
Cited By
3.54
FWCI (Field Weighted Citation Impact)
14
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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