Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
Integrated power management for video streaming to mobile handheld devices
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Practical voltage scaling for mobile multimedia devices
Proceedings of the 12th annual ACM international conference on Multimedia
Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
Using offline bitstream analysis for power-aware video decoding in portable devices
Proceedings of the 13th annual ACM international conference on Multimedia
Energy-efficient CPU scheduling for multimedia applications
ACM Transactions on Computer Systems (TOCS)
Accurate on-line prediction of processor and memoryenergy usage under voltage scaling
EMSOFT '07 Proceedings of the 7th ACM & IEEE international conference on Embedded software
"My iPod is my Pacifier": An Investigation on the Everyday Practices of Mobile Video Consumption
HOTMOBILE '07 Proceedings of the Eighth IEEE Workshop on Mobile Computing Systems and Applications
An energy-aware framework for dynamic software management in mobile computing systems
ACM Transactions on Embedded Computing Systems (TECS)
Context-aware Battery Management for Mobile Phones
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Chameleon: Application-Level Power Management
IEEE Transactions on Mobile Computing
Online prediction of battery lifetime for embedded and mobile devices
PACS'03 Proceedings of the Third international conference on Power - Aware Computer Systems
Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems
IEEE Transactions on Multimedia
Power-rate-distortion analysis for wireless video communication under energy constraints
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Energy-aware complexity adaptation for mobile video calls
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Video streaming using a location-based bandwidth-lookup service for bitrate planning
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Energy-efficient multicasting of multiview 3D videos to mobile devices
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
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We propose a general quality-power adaptation framework that controls the perceived video quality and the length of viewing time on battery-powered video receivers. The framework can be used for standalone video devices (e.g., DVD players and notebooks) as well as mobile receivers obtaining video signals from wireless networks (e.g., mobile TV and video streaming over WiMAX). Furthermore, the framework supports both live streams (e.g., live TV shows) and pre-encoded video streams (e.g., DVD movies). We present an adaptation algorithm for each mobile device to determine the optimal substream that can be received, decoded, and rendered to the user at the: (i) highest quality for a given viewing time, and (ii) longest viewing time for a given quality without exceeding the battery level constraint. We instantiate this framework and work out its details for mobile video broadcast networks. In particular, we propose a new video broadcast scheme that enables mobile video devices to efficiently adapt scalable video streams and achieve power saving proportional to the bit rates of the received streams. We implement the proposed framework in an actual mobile video streaming testbed and we conduct experiments using real video streams broadcast to mobile phones. These experiments show the practicality of the proposed framework and the possibility of achieving viewing time scalability. For example, on a mobile phone receiving and decoding the same video program, a viewing time in the range from 4 to 11 hours can be achieved by adaptively controlling the frame rate and visual quality of the video stream.