TY - GEN
T1 - Achieving viewing time scalability in mobile video streaming using scalable video coding
AU - Hsu, Cheng Hsin
AU - Hefeeda, Mohamed
PY - 2010/2/22
Y1 - 2010/2/22
N2 - 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.
AB - 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.
KW - Power models
KW - Quality models
KW - Quality-of-service adaptation
UR - https://www.scopus.com/pages/publications/77951287543
U2 - 10.1145/1730836.1730851
DO - 10.1145/1730836.1730851
M3 - Conference contribution
AN - SCOPUS:77951287543
SN - 9781605589145
T3 - MMSys'10 - Proceedings of the 2010 ACM SIGMM Conference on Multimedia Systems
SP - 111
EP - 122
BT - MMSys'10 - Proceedings of the 2010 ACM SIGMM Conference on Multimedia Systems
PB - Association for Computing Machinery
T2 - 2010 ACM SIGMM Conference on Multimedia Systems, MMSys'10
Y2 - 22 February 2010 through 23 February 2010
ER -