H.264/AVC hardware encoders and low-power features

Nguyen, Ngoc-Mai; Beigné, Edith; Lesecq, Suzanne; Bui, Duy-Hieu; Dang, Khanh N.; Tran, Xuan‐Tu

doi:10.1109/apccas.2014.7032723

Cited by 3 publications

(2 citation statements)

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“…Video encoding is a computationally intensive process. This fact together with high popularity of watching videos leads to high availability of dedicated Application-Specific Integrated Circuits (ASICs) in the mass market [20]. The power consumption depends on many parameters including coder configuration, resolution, and utilized Complementary Metal-Oxide-Semiconductor (CMOS) technology.…”

Section: ) Video Compressionmentioning

confidence: 99%

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Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics

Kryszkiewicz

Idzikowski

Bossy

et al. 2019

2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Fog computing can be used to offload computationally intensive tasks from battery powered Internet of Things (IoT) devices. Although it reduces energy required for computations in an IoT device, it uses energy for communications with the fog. This paper analyzes when usage of fog computing is more energy efficient than local computing. Detailed energy consumption models are built in both scenarios with the focus set on the relation between energy consumption and distortion introduced by a Power Amplifier (PA). Numerical results show that task offloading to a fog is the most energy efficient for short, wideband links.

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Section: ) Video Compressionmentioning

confidence: 99%

“…The power consumption depends on many parameters including coder configuration, resolution, and utilized Complementary Metal-Oxide-Semiconductor (CMOS) technology. Average power consumption is reported in [20], e.g., P VIDEO = 242 mW for a Full HD stream. The typical output bitrate is R = 6 M bps.…”

Section: ) Video Compressionmentioning

confidence: 99%