Energy-efficient HEVC using stochastic processing

Saab, Farah; Elhajj, Imad H.; Chehab, Ali; Kayssi, Ayman

doi:10.1109/iceac.2013.6737655

Cited by 2 publications

(4 citation statements)

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“…This translates to about 19% power savings in HEVC due to savings in memory accesses alone. In addition, the authors in [8] reached savings of up to 13% in HEVC by applying voltage scaling to data-related arithmetic instructions. This serves to show the importance of profiling to estimate how power and energy savings in memory and arithmetic instructions would be reflected in savings in the overall encoding process of HEVC.…”

Section: Discussionmentioning

confidence: 99%

Profiling of HEVC encoder

et al. 2014

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One of the serious challenges facing smartphones and other portable devices nowadays is battery life. A typical smartphone user will be running several applications on the device at any given time, and most of these applications consume plenty of energy. In fact, some of the most energy‐consuming applications are those related to video conferencing and streaming. There is a lot of work to improve the energy efficiency of such applications by improving the energy efficiency of the underlying encoders. However, to accomplish that, full profiling of the encoder must be performed first. The results of profiling the High Efficiency Video Coding (HEVC) are presented. Results are presented in terms of types of assembly level instructions in every function of the encoder. Thus, depending on the environment on which the encoder is running, the energy consumed for any type of instruction can be obtained. The results show that, in an HEVC encoding process, about 48% of the instructions are memory related and about 18–20% are arithmetic operations. This result is very important for any work in energy analysis and optimisation of the HEVC encoder.

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Section: Discussionmentioning

confidence: 99%

Profiling of HEVC encoder

et al. 2014

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“…The SSE functions on the other hand were not as error tolerant because tampering with them affected the output quality of the videos [3].…”

Section: Energy-efficient Hevcmentioning

confidence: 99%

“…In our previous work [3], we introduced stochastic processing into the HEVC encoding process in order to make it more energy efficient. Our first step was to profile the encoder.…”

Section: Energy-efficient Hevcmentioning

confidence: 99%

“…In our previous work [3], we studied the energy savings that would result from introducing a stochastic adder into certain stages of the HEVC encoder and the effect that the resulting computational errors would have on the output video quality. Although we managed to reach significant savings in the encoding stage, we needed to pay close attention to the change in energy consumption in the communication stage.…”

Section: Introductionmentioning

confidence: 99%

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Energy analysis of HEVC compression with stochastic processing

Saab

Elhajj

Kayssi

et al. 2014

MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference

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One of the serious challenges facing smartphones and other portable devices is battery life. We aim at improving the energy efficiency of multimedia applications for improved battery life while maintaining an acceptable level of user experience. In this paper, we first describe our work in the area of stochastic video compression using the HEVC encoder. We then show the results in energy savings in the encoding stage as a function of an imposed error in addition and subtraction operations. We also present the relationship between the increased bit error rate and the output size of the video. We explain the effect that this increase in file size has on the transmission energy as well as the overall number of instructions, and in particular, the memory read/write operations. We demonstrate the full energy analysis of the entire encoding process using the HEVC encoder and show the quantitative results in every stage.

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Energy-efficient HEVC using stochastic processing

Cited by 2 publications

References 5 publications

Profiling of HEVC encoder

Profiling of HEVC encoder

Energy analysis of HEVC compression with stochastic processing

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