Author_Institution :
Univ. of Texas at Arlington, Arlington, TX, USA
Abstract :
In mobile computing environments, a video encoder should be able to provide high quality of service, which is measured from two perspectives: first, the video quality at a given bit rate must be optimized; second, it should be able to efficiently utilize its power supply to prolong the battery operating time. In other words, it should be able to achieve low power consumption as well as lower video distortion. There is a pressing need to develop power efficient video coding techniques, which can also deliver high picture quality. We address several issues and research challenges, and potential solutions, including defining new power rate distortion model, encoder complexity, mapping power to coding parameters, optimization criteria, making and effective use of the battery power information, parameter analysis, and new optimization techniques.
Keywords :
data compression; distortion; game theory; mobile computing; quality of service; video coding; battery operating time; game theory; mobile application; mobile computing environment; optimization criteria; parameter analysis; power consumption; power rate distortion model; power-efficient video coding technique; quality of service; video compression; video distortion; video encoder complexity; video picture quality; visual quality optimized video coding; Battery charge measurement; Bit rate; Distortion measurement; Energy consumption; Mobile computing; Power measurement; Power supplies; Quality of service; Time measurement; Video coding; energy; optimization; power; video compression;