JOURNAL ARTICLE

Complexity control for H.264 video encoding over power-scalable embedded systems

Abstract

This work proposes a complexity-control algorithm that efficiently utilizes encoding tools of an H.264 video coding system under different power status. Experiments performed on a power-scalable embedded system reveal the excellent rate-distortion performance with various power constraints. Specifically, the power consumption can be adjusted around 77% to 100% with PSNR degradation within 1.08dB at the same bit rate.

Keywords:
Computer science Scalability Encoding (memory) Scalable Video Coding Power consumption Coding (social sciences) Real-time computing Power (physics) Decoding methods Degradation (telecommunications) Bit rate Power control Rate–distortion theory Context-adaptive binary arithmetic coding Embedded system Data compression Algorithm Artificial intelligence Telecommunications Mathematics

Metrics

9
Cited By
2.09
FWCI (Field Weighted Citation Impact)
10
Refs
0.89
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 Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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