JOURNAL ARTICLE

Variable Block Size Fractional Motion Estimation Hardware Architecture for VVC and HEVC Standards

Abstract

The ever-increasing growth in digital video consumption motivates the research and development of new video coding standards to improve coding efficiency. Among the several new tools that the Versatile Video Coding (VVC) standard introduced lies the Quadtree Plus Multi-Type Tree (QT+MTT), which improves upon the quadtree of High Efficiency Video Coding (HEVC) in terms of coding efficiency. Nevertheless, such improvements come at the cost of increased complexity. Hence, to meet the real-time and energy efficiency requirements, embedded devices must adopt techniques to effectively reduce the VVC complexity, including customized hardware accelerators. This work presents a low-energy hardware architecture design for the Fractional Motion Estimation (FME), one of the most critical steps of HEVC and VVC encoders. The proposed architecture supports the Switchable Interpolation Filter (SIF) of VVC and was synthesized to enable Variable Block Size (VBS) from 8×8 up to 128×128 sized blocks so that it can perform the FME of most partitions of the QT+MTT from VVC. The results show increases of at most 4.52% in area and 10.79% in total power for the extra hardware needed to support VBS, and up to 9.15% and 15.72%, in area and power, respectively, for supporting up to 128×128 block sizes.

Keywords:
Computer science Encoder Quadtree Coding (social sciences) Algorithmic efficiency Efficient energy use Motion estimation Computer hardware Block size Energy consumption Power consumption Embedded system Real-time computing Algorithm Power (physics) Mathematics Operating system

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Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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