A Real-Time Low-Power Coding Bit-Rate Control Scheme for High-Efficiency Video Coding in a Multiprocessor System-on-Chip

被引:4
作者
Hsieh, Jui-Hung [1 ]
Syu, Jing-Cheng [1 ]
Guo, Zhe-Yu [1 ]
Zhang, Zhi-Yu [1 ]
机构
[1] Natl Kaohsiung Univ Sci & Technol, Dept Comp & Commun Engn, Kaohsiung 82445, Taiwan
来源
IEEE SYSTEMS JOURNAL | 2022年 / 16卷 / 01期
关键词
Encoding; Very large scale integration; Hardware; High efficiency video coding; Standards; Prediction algorithms; Real-time systems; High-efficiency video coding (HEVC); motion estimation (ME); rate control; very large scale integration (VLSI); RATE CONTROL ALGORITHM; MOTION ESTIMATION ALGORITHM; DESIGN; ALLOCATION;
D O I
10.1109/JSYST.2021.3069477
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A real-time high-performance transmission bandwidth-aware (TB-aware) coding bit-rate (CBR) controller design with low power consumption and low hardware complexity is presented in this article for H.265/high-efficiency video coding (HEVC) in a multiprocessor system-on-chip (MPSoC). Previous TB-aware motion estimation designs with CBR-control capability in video coding have focused on algorithm development with precise CBR models, which require a complicated algorithmic derivation according to the system on-demand CBR and are difficult to realize in very large scale integration (VLSI) due to their lack of consideration for hardware implementation and modeling. Consequently, we present a hardware-oriented CBR-control algorithm that uses simple CBR control functions instead of requiring root and exponential operations to realize the real-time low-power design objective for HEVC applications within a mobile MPSoC. Then, an adequate hardware architecture with low hardware complexity is exploited to accomplish a low-power and high-speed VLSI design of a CBR controller for our proposed algorithm. Using diverse video-sized sequences under on-demand system coding-bit-rate constraints, the experimental outcomes demonstrate that the introduced design is capable of low power consumption and high speeds and can utilize low-complexity hardware.
引用
收藏
页码:264 / 274
页数:11
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