Paper
18 January 2004 Low-power H.264 video decoder with graceful degradation
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.526732
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In this paper, we present a novel H.264 video decoder where memory transfers and energy consumption are significantly reduced. A power-friendly solution is indeed required in mobile applications, where autonomy is a key feature. Whereas low-power design is usually regarded as a pure architectural and implementation problem, our solution is based on an algorithmic approach. We first observe that in modern hardware architectures, computational complexity plays a second role in terms of energy dissipation, which is dominated by memory transfers. We thus identify the motion compensation module as the most consuming part of the standard H.264 decoder, due to its numerous memory accesses to the reference frame(s). Through an algorithmic modification that uses concurrent embedded compression techniques and relies on the data structure of the memory, we reduce memory transfers, and hence power dissipation, while maintaining the visual quality. Experimental results prove that the new method is close to the reference H.264 baseline decoder both in terms of objective and subjective measurements. In the meantime, memory transfers have been reduced by 55% in average, implying power savings which lengthen the battery life of the mobile device, increase the reliability of the chip and lower production costs.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnaud Bourge and Joel Jung "Low-power H.264 video decoder with graceful degradation", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.526732
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Video

Visualization

Video compression

Chromium

Computer programming

Mobile devices

Quantization

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