Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Power and Performance Analysis of Motion Estimation Based on Hardware and Software Realizations
IEEE Transactions on Computers
Side-information generation for temporally and spatially scalable Wyner-Ziv codecs
Journal on Image and Video Processing - Special issue on distributed video coding
Rateless distributed source code design
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
Energy and thermal-aware video coding via encoder/decoder workload balancing
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Proceedings of the Conference on Design, Automation and Test in Europe
Proceedings of the Conference on Design, Automation and Test in Europe
Run-time adaptive energy-aware motion and disparity estimation in multiview video coding
Proceedings of the 48th Design Automation Conference
Distributed video coding with compressive measurements
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Proceedings of the International Conference on Computer-Aided Design
Adaptive power management of on-chip video memory for multiview video coding
Proceedings of the 49th Annual Design Automation Conference
Noiseless coding of correlated information sources
IEEE Transactions on Information Theory
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
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Hybrid Distributed Video Coding (HDVC) has emerged as an attractive solution for energy and resource constrained video pro-cessing systems in different domains like distributed video sensors, mobile devices with dynamically varying energy levels, or hybrid paradigms where mobile devices are communicating with high-end servers. In this paper, we present a hierarchical control scheme for determining and distributing the energy quota in HDVC encoder and decoder under scenarios of dynamically varying energy levels and user constraints. The energy quotas are computed and controlled online at various hierarchical levels (like group of frames, frames, and macroblocks), while jointly accounting for the computation and transmission energy. For energy reduction, the processing of selective regions is intelligently distributed at both encoder and decoder sides, considering the texture and motion properties of different video regions and available spatial/temporal correlations. Experimental results demonstrate that our scheme provides on average 20%-25% reduced energy consumption compared to state-of-the-art HDVC schemes. The key to high energy efficiency is to leverage the video content properties.