DocumentCode :
599478
Title :
Energy efficient JPEG using stochastic processing
Author :
Saab, Farah ; Elhajj, Imad H. ; Chehab, Ali ; Kayssi, Ayman
Author_Institution :
Electrical and Computer Engineering, American University of Beirut, 1107 2020, Lebanon
fYear :
2012
fDate :
3-5 Dec. 2012
Firstpage :
1
Lastpage :
6
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 design a stochastic processing technique for JPEG to limit its energy consumption particularly on mobile devices. This is a first step towards improving the energy efficiency for MPEG, since video streaming and conferencing applications are some of the most energy-consuming applications. We demonstrate the feasibility of using stochastic processing for multimedia encoders and analyze the resulting energy savings.
Keywords :
Discrete cosine transforms; Encoding; Energy consumption; Mathematical model; Smart phones; Streaming media; Transform coding; JPEG; MPEG; energy efficiency; stotchastic; user experience;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Aware Computing, 2012 International Conference on
Conference_Location :
Guzelyurt, Cyprus
Print_ISBN :
978-1-4673-5326-7
Electronic_ISBN :
978-1-4673-5327-4
Type :
conf
DOI :
10.1109/ICEAC.2012.6471025
Filename :
6471025
Link To Document :
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