Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications

Cao, Zhen; Foo, Brian; He, Lei; Schaar, Mihaela van der

doi:10.1145/1391469.1391516

Cited by 15 publications

(7 citation statements)

References 10 publications

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“…Based on this figure, we can state the following: -The YCrCb to RGB block runs correctly; we always have Eqs. (1), (2), and (4) verified.…”

Section: Without Clock Controller Blockmentioning

confidence: 77%

“…This fact pushed designers to search for new methods to grant low power consumption for video processing applications. Many solutions have been proposed as an attempt to minimize both static and dynamic energy for video applications [2][3][4] and, although having reached a remarkable percentage, the obtained results remain insufficient and need more improvements. Therefore, power consumption should be added as a major constraint to be optimized.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of low power system on programmable chip for video zoom-in processing

Touil¹,

Kechiche²,

Ouni³

2016

Turk J Elec Eng & Comp Sci

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Today, power consumption presents a critical issue when designing embedded systems. It has become a key factor in a product's success when being marketed, especially for mobile systems. In this paper, we have developed a typical design for video zoom-in processing with low power consumption. The proposed design has been implemented on the Xilinx Virtex-5 with the integration of different important resources like embedded processor, embedded memory, MPMC, DDR, and various interfaces. The design results show a significant gain in power at the simulation level as well as the physical one. In addition, the proposed design provides an important gain in power without degrading other parameters such as frequency, area, and others.

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“…Based on this figure, we can state the following: -The YCrCb to RGB block runs correctly; we always have Eqs. (1), (2), and (4) verified.…”

Section: Without Clock Controller Blockmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Design of low power system on programmable chip for video zoom-in processing

Touil¹,

Kechiche²,

Ouni³

2016

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…Cao et al [160] have proposed an offline linear programming method to determine the minimum energy consumption required for processing a multimedia task based on knowledge about the complexity and the arrival time of each decoding job. Through simulations, the authors have also shown that their solution can be extended to online multimedia tasks with varying unknown workloads, outperforming other existing online DVFS algorithms, while requiring less than 0.3% more energy to perform the task than indicated by the offline optimal method.…”

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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“…Various power saving techniques were proposed for the particular case of multimedia streaming to mobile devices over Wireless LANs. Depending on where the battery power is mainly saved, these techniques can be classified in: reception-related techniques that aim to reduce the power consumption of the wireless network card [12], decodingrelated techniques that aim to reduce the power consumption of the CPU [13] and memory [14], and playing-related techniques that mainly focus on the device display [15].…”

Section: B Battery Power Savingmentioning

confidence: 99%

MediaMTool: Multimedia content management tool

Moldovan

Moraru

Muntean

2011

2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Abstract-With the proliferation of mobile devices, multimedia streaming over wireless networks has increased in popularity. To overcome a number of challenges as well as to enhance mobile users' experience, much research effort has been placed into multimedia content adaptation and personalisation. Supporting adaptive multimedia can pose itself a number of challenges, especially when considering the fast growing rate at which multimedia content is being produced. This paper explores the idea of automatic multimedia content management and authoring to support adaptive multimedia delivery to mobile devices. A multimedia content management tool (MediaMTool) is presented which automatically creates multiple versions of the multimedia clips based on a set of specified multimedia clip features. For testing purposes, MediaMTool was used in conjunction with EcoLearn, a m-learning system that adapts the quality of the educational multimedia clips in order to save battery power on the learner mobile device.Index Terms-multimedia content management, multimedia adaptation, mobile devices, battery power save.

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Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications

Cited by 15 publications

References 10 publications

Design of low power system on programmable chip for video zoom-in processing

Design of low power system on programmable chip for video zoom-in processing

Energy-Aware Mobile Learning:Opportunities and Challenges

MediaMTool: Multimedia content management tool

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