Dynamic backlight scaling optimization for mobile streaming applications

Hsiu, Pi-Cheng; Lin, Chun-Han; Hsieh, Cheng-Kang

doi:10.1109/islped.2011.5993655

Cited by 27 publications

(14 citation statements)

References 17 publications

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“…Another technique that explores the energy saving in multimedia streaming is brightness compensation [158], [159], [160]. The authors in [158], [159] propose the use of a proxy server that performs on-the-fly transcoding and dynamic adaptation of the video content (brightness compensation) based on the feedback from the client.…”

Section: E Energy Efficient Multimedia Processing and Deliverymentioning

confidence: 99%

“…The proxy server will send back the control information to the client middleware which will change its system parameters (e.g., operating backlight level) accordantly. In [160] the authors propose a similar approach and model the problem as a dynamic backlight scaling optimization in order to determine the appropriate video content backlight level. The authors show that when the energy consumption presents a monotonic increase with the backlight level, their proposed algorithm is optimal in terms of energy savings.…”

Section: E Energy Efficient Multimedia Processing and Deliverymentioning

confidence: 99%

See 1 more Smart Citation

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Trestian

Comşa

Tüysüz

2018

IEEE Commun. Surv. Tutorials

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Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Abstract-The increasing popularity of live video streaming from mobile devices such as Facebook Live, Instagram Stories, Snapchat, etc. pressurises the network operators to increase the capacity of their networks. However, a simple increase in system capacity will not be enough without considering the provisioning of Quality of Experience (QoE) as the basis for network control, customer loyalty and retention rate and thus increase in network operators revenue. As QoE is gaining strong momentum especially with increasing users' quality expectations, the focus is now on proposing innovative solutions to enable QoE when delivering video content over heterogeneous wireless networks. In this context, this paper presents an overview of multimedia delivery solutions, identifies the problems and provides a comprehensive classification of related state-of-theart approaches following three key directions: adaptation, energy efficiency and multipath content delivery. Discussions, challenges and open issues on the seamless multimedia provisioning faced by the current and next generation of wireless networks are also provided.

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Section: E Energy Efficient Multimedia Processing and Deliverymentioning

confidence: 99%

Section: E Energy Efficient Multimedia Processing and Deliverymentioning

confidence: 99%

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Trestian

Comşa

Tüysüz

2018

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

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“…Many existing techniques rely on the CPU to perform per-pixel manipulation [7,9] but this may significantly offset the power savings achieved via backlight dimming. To avoid the computation intensive step on the mobile device, Hsiu et al and Lin et al propose not to perform luminance compensation, but instead, simply to choose a critical backlight level for each frame as the scaling constraint [10,11]. This, however, can lead to a large amount of distortion of the displayed frames.…”

Section: Background and Related Workmentioning

confidence: 99%

Content-adaptive display power saving in internet mobile streaming

Liu

Xiao

Zhang

et al. 2015

Proceedings of the 25th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video

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Backlight scaling is a technique proposed to reduce the display panel power consumption by strategically dimming the backlight. However, for Internet streaming to mobile devices, a computationally intensive luminance compensation step must be performed in combination with backlight scaling to maintain the perceived appearance of video frames. This step, if done by the CPU, could easily offset the power savings via backlight dimming. Furthermore, computing the backlight scaling values requires per-frame luminance information, which is typically too energy intensive to compute on mobile devices.In this paper, we propose Content-Adaptive Display (CAD) for Internet mobile streaming. CAD uses the mobile device's GPU rather than the CPU to perform luminance compensation at reduced power consumption. Backlight scaling schedule is computed using a more efficient dynamic programming algorithm than existing work. We implement CAD within an Android app and use a Monsoon power meter to measure the real power consumption. Experiments are conducted on more than 470 randomly selected YouTube videos, and results show that CAD can effectively produce power savings.

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“…Hsiu et al [166] have proposed an algorithm to determine the critical level up to which the backlit can be decreased without significantly affecting the perceived quality of multimedia applications. Their solution uses a dedicated server to compute the critical backlit level for each group of frames in a video by analysing their luminance, and was shown to provide between 19% and 31% energy saving when viewing YouTube videos with different characteristics.…”

Section: ) Content Delivery-related Solutionsmentioning

confidence: 99%

Energy-Aware Mobile Learning:Opportunities and Challenges

Moldovan

Weibelzahl

Muntean

2014

IEEE Commun. Surv. Tutorials

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Abstract-As mobile devices are becoming more powerful and affordable they are increasingly used for mobile learning activities. By enabling learners' access to educational content anywhere and anytime, mobile learning has both the potential to provide online learners with new opportunities, and to reach less privileged categories of learners that lack access to traditional e-learning services. Among the many challenges with mobile learning, the battery-powered nature of mobile devices and in particular their limited battery life, stands out as one issue that can significantly limit learners' access to educational content while on the move. Adaptation and personalisation solutions have widely been considered for overcoming the differences between learners and between the characteristics of their mobile devices. However, while various energy saving solutions have been proposed in order to provide mobile users with extended device usage time, the areas of adaptive mobile learning and energy conservation in wireless communications failed to meet under the same umbrella. This paper bridges the two areas by presenting an overview of adaptive mobile learning systems as well as how these can be extended to make them energy-aware. Furthermore, the paper surveys various approaches for energy measurement, modelling and adaptation, three major aspects that have to be considered in order to deploy energy-aware mobile learning systems. Discussions on the applicability and limitations of these approaches for mobile learning are also provided.

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Dynamic backlight scaling optimization for mobile streaming applications

Cited by 27 publications

References 17 publications

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Seamless Multimedia Delivery Within a Heterogeneous Wireless Networks Environment: Are We There Yet?

Content-adaptive display power saving in internet mobile streaming

Energy-Aware Mobile Learning:Opportunities and Challenges

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