Maintaining video quality for a down-sampling decoder in low-power mobile devices

Authors:
Jonghun Lee;Yonghee Lee;Sangsoo Park;Heonshik Shin
Affiliations:
School of Computer Science and Engineering, Seoul National University, Gwan-ak, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Gwan-ak, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Gwan-ak, Seoul, Korea;School of Computer Science and Engineering, Seoul National University, Gwan-ak, Seoul, Korea
Venue:
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Year:
2006

Citing 7
Cited 0

Energy-aware adaptation for mobile applications

Proceedings of the seventeenth ACM symposium on Operating systems principles
Energy-Monitoring Tool for Low-Power Embedded Programs

IEEE Design & Test
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems

SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Reduced energy decoding of MPEG streams

Multimedia Systems
Web-Based Energy Exploration Tool for Embedded Systems

IEEE Design & Test
Quality-adaptive requantization for low-energy MPEG-4 video decoding in mobile devices

IEEE Transactions on Consumer Electronics
Regulated complexity scalable MPEG-2 video decoding for media processors

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Users increasingly benefit from the capability of wireless networks and mobile devices that deliver and process multimedia content in compressed forms. For the display of a high quality video, a mobile device usually decodes and then down-samples it to fit the original image to their small screen. But this arrangement requires extra energy and computing complexity for down-sampling. In this paper, we introduce a video decoding framework which obviates separate down-sampling process for mobile devices. Simulation results show a saving of 26 to 49 % of the total energy required for decoding at the cost of a 0.9 to 6.1% degradation in picture quality.