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Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers

Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers MOHSEN JAMALI LANGROODI and JOSEPH PETERS, Simon Fraser University SHERVIN SHIRMOHAMMADI, University of Ottawa For mobile multimedia systems, advances in battery technology have been much slower than those in memory, graphics, and processing power, making power consumption a major concern in mobile systems. The computational complexity of video codecs, which consists of CPU operations and memory accesses, is one of the main factors affecting power consumption. In this article, we propose a method that achieves near-optimal video quality while respecting user-defined bounds on the complexity needed to decode a video. We specifically focus on the motion compensation process, including motion vector prediction and interpolation, because it is the single largest component of computation-based power consumption. We start by formulating a scenario with a single receiver as a rate-distortion optimization problem and we develop an efficient decoder-complexity-aware video encoding method to solve it. Then we extend our approach to handle multiple heterogeneous receivers, each with a different complexity requirement. We test our method experimentally using the H.264 standard for the single receiver scenario and the H.264 SVC extension for the multiple receiver scenario. Our experimental results show that our method http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Association for Computing Machinery

Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/2700300
Publisher site
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Abstract

Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers MOHSEN JAMALI LANGROODI and JOSEPH PETERS, Simon Fraser University SHERVIN SHIRMOHAMMADI, University of Ottawa For mobile multimedia systems, advances in battery technology have been much slower than those in memory, graphics, and processing power, making power consumption a major concern in mobile systems. The computational complexity of video codecs, which consists of CPU operations and memory accesses, is one of the main factors affecting power consumption. In this article, we propose a method that achieves near-optimal video quality while respecting user-defined bounds on the complexity needed to decode a video. We specifically focus on the motion compensation process, including motion vector prediction and interpolation, because it is the single largest component of computation-based power consumption. We start by formulating a scenario with a single receiver as a rate-distortion optimization problem and we develop an efficient decoder-complexity-aware video encoding method to solve it. Then we extend our approach to handle multiple heterogeneous receivers, each with a different complexity requirement. We test our method experimentally using the H.264 standard for the single receiver scenario and the H.264 SVC extension for the multiple receiver scenario. Our experimental results show that our method

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) – Association for Computing Machinery

Published: Feb 24, 2015

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