Energy-efficient HEVC using stochastic processing

Author

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

Author_Institution

Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

152

Lastpage

157

Abstract

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 present the full profiling of the HEVC encoder. Stochastic processing is then applied to the motion estimation stage of HEVC in order to reduce its energy consumption. Finally, video snapshots are displayed along with the relative percentages in energy savings. Savings up to 13% were reached while maintaining a very good quality according to the video quality metric VQM.

Keywords

energy conservation; power aware computing; stochastic processes; video coding; HEVC encoder; VQM; energy savings; energy-efficient HEVC; motion estimation; multimedia applications; stochastic processing; video quality metric; video snapshots; Adders; Encoding; Motion estimation; Standards; Streaming media; Transforms; Video coding; HEVC; VQM; energy efficiency; stotchastic; user experience;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Aware Computing Systems and Applications (ICEAC), 2013 4th Annual International Conference on

Conference_Location

Istanbul

Type

conf

DOI

10.1109/ICEAC.2013.6737655

Filename

6737655