Personalisation of the multimedia content delivered to mobile device users

Weibelzahl

IEEE Commun. Surv. Tutorials

2014

Self Cite

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.

“…• Some video codecs are more energy efficient than others (e.g., H.263 more efficient than H.264), while the file formats has little impact on energy consumption [127]- [129].…”

Section: Audio (Codec Amplifier)mentioning

confidence: 99%

Energy-Aware Mobile Learning:Opportunities and Challenges

Weibelzahl

IEEE Commun. Surv. Tutorials

2014

Self Cite

“…available bandwidth) [7], device characteristics (e.g. screen size, processing capabilities, battery life [8], etc. ), user expectations [9], preferences, context [10], etc.…”

Section: A Multimedia Content Adaptationmentioning

confidence: 99%

Subjective Assessment of BitDetect—A Mechanism for Energy-Aware Multimedia Content Adaptation

IEEE Trans. on Broadcast.

2012

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Abstract-As mobile devices are becoming more compact and powerful and as they start to be increasingly used for accessing power-hungry multimedia streaming applications, there is an increasing need for mechanisms to efficiently manage the limited battery power resources. This is especially important as the battery capacity has not kept up with the power requirements of an increasing number of mobile device features and "always on" connected users. Adaptive multimedia-based power-saving mechanisms often decrease the clip bitrate to increase the mobile device battery life, without considering the effect of these degradations on the user-perceived quality. This paper proposes BitDetect, a mechanism that uses objective video quality assessment metrics to detect content-specific video bitrate levels that enable saving battery power while maintaining good user perceived quality. Results from a subjective study indicate that the recommended bitrate offers good user-perceived quality across different multimedia clips. Furthermore, experimental tests indicate that significant battery power can be saved by using the recommended bitrates when streaming multimedia clips to a mobile device.Index Terms-Battery power saving, bitrate estimation, objective assessment metrics, subjective video quality assessment.

“…Such a technique is to reencode the clip with a compression technique that requires less bitrate for the same quality or is less computational expensive [16]. Encoding parameters such as resolution, frame rate or bitrate can also be reduced for saving mobile device battery power [17].…”

Section: B Battery Power Savingmentioning

confidence: 99%

MediaMTool: Multimedia content management tool

Moraru

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

2011

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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.