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

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.

[1]  Rajiv Soundararajan,et al.  Study of Subjective and Objective Quality Assessment of Video , 2010, IEEE Transactions on Image Processing.

[2]  Alan C. Bovik,et al.  Video Quality Assessment , 2009 .

[3]  Chu-Hsing Lin,et al.  Energy Analysis of Multimedia Video Decoding on Mobile Handheld Devices , 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

[4]  Phuoc Tran-Gia,et al.  Towards QoE Management for Scalable Video Streaming , 2011 .

[5]  Gabriel-Miro Muntean,et al.  Objective Assessment of Region of Interest-Aware Adaptive Multimedia Streaming Quality , 2009, IEEE Transactions on Broadcasting.

[6]  Kiarash Amiri,et al.  Process variation aware transcoding for low power H.264 decoding , 2010, 2010 8th IEEE Workshop on Embedded Systems for Real-Time Multimedia.

[7]  Naehyuck Chang,et al.  Dynamic voltage scaling of OLED displays , 2011, 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC).

[8]  Alan C. Bovik,et al.  Efficient motion weighted spatio-temporal video SSIM index , 2010, Electronic Imaging.

[9]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..

[10]  Jörg Widmer,et al.  TCP Friendly Rate Control (TFRC): Protocol Specification , 2003, RFC.

[11]  Cristina Hava Muntean,et al.  Towards Personalised and Adaptive Multimedia in M-learning Systems , 2011 .

[12]  Aggelos K. Katsaggelos,et al.  Power-Aware Mobile Multimedia: a Survey (Invited Paper) , 2009, J. Commun..

[13]  Sugato Chakravarty,et al.  Methodology for the subjective assessment of the quality of television pictures , 1995 .

[14]  Ye Wang,et al.  Power-efficient streaming for mobile terminals , 2005, NOSSDAV '05.

[15]  Heiko Schwarz,et al.  Overview of the Scalable Video Coding Extension of the H.264/AVC Standard , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Gabriel-Miro Muntean,et al.  A novel adaptive multimedia delivery algorithm for increasing user quality of experience during wireless and mobile e-learning , 2009, 2009 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[17]  Stephen R. Gulliver,et al.  Defining user perception of distributed multimedia quality , 2006, TOMCCAP.

[18]  Nicola Cranley,et al.  Incorporating user perception in adaptive video streaming systems , 2006 .

[19]  Ronny Yongho Kim,et al.  Advanced power management techniques in next-generation wireless networks [Topics in Wireless Communications] , 2010, IEEE Communications Magazine.

[20]  Stefan Winkler,et al.  The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics , 2008, IEEE Transactions on Broadcasting.

[21]  Liam Murphy,et al.  Objective and subjective evaluation of QOAS video streaming over broadband networks , 2005, IEEE Transactions on Network and Service Management.

[22]  Pamela C. Cosman,et al.  Modeling packet-loss visibility in MPEG-2 video , 2006, IEEE Transactions on Multimedia.

[23]  Zhou Wang,et al.  Video quality assessment based on structural distortion measurement , 2004, Signal Process. Image Commun..

[24]  Xuelong Li,et al.  Image quality assessment and human visual system , 2010, Visual Communications and Image Processing.

[25]  John G. Beerends,et al.  The Influence of Video Quality on Perceived Audio Quality and Vice Versa , 1999 .

[26]  Alexandre Joly,et al.  Audio-visual quality and interactions between television audio and video , 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

[27]  Janet Adams Adaptive-Buffer Power Save Mechanism for Mobile Multimedia Streaming , 2007, 2007 IEEE International Conference on Communications.

[28]  Cristina Hava Muntean,et al.  Assessing Power Saving Techniques and Their Impact on E-learning Users , 2009 .

[29]  R. E. Kooij,et al.  Of MOS and men: bridging the gap between objective and subjective quality measurements in mobile TV , 2007, Electronic Imaging.

[30]  Song Ci,et al.  Adaptive Wireless Multimedia Communications with Context-Awareness Using Ontology-Based Models , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[31]  Gabriel-Miro Muntean,et al.  Subjective Assessment of Region of Interest-Aware Adaptive Multimedia Streaming Quality , 2009, IEEE Transactions on Broadcasting.

[32]  Keiichi Yasumoto,et al.  Energy-aware video streaming with QoS control for portable computing devices , 2004, NOSSDAV '04.

[33]  Alan C. Bovik,et al.  Visual quality assessment algorithms: what does the future hold? , 2010, Multimedia Tools and Applications.

[34]  Baoxin Li,et al.  Power reduction via macroblock prioritization for power aware H.264 video applications , 2008, CODES+ISSS '08.

[35]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[36]  G. Stoll,et al.  Internet audio codecs EBU listening tests on , 2000 .

[37]  Cesson Sévigné NEW QUALITY EVALUATION METHOD SUITED TO MULTIMEDIA CONTEXT SAMVIQ , 2006 .

[38]  Alan C. Bovik,et al.  Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.

[39]  Stefan Winkler,et al.  Perceptual Video Quality Metrics — A Review , 2005 .

[40]  Adam Wolisz,et al.  EvalVid - A Framework for Video Transmission and Quality Evaluation , 2003, Computer Performance Evaluation / TOOLS.

[41]  Mario Gerla,et al.  Smooth and efficient real-time video transport in the presence of wireless errors , 2006, TOMCCAP.

[42]  Gabriel-Miro Muntean,et al.  Region of Interest-Based Adaptive Multimedia Streaming Scheme , 2008, IEEE Transactions on Broadcasting.

[43]  Mohammed Ghanbari,et al.  Efficient Reduced-Reference Video Quality Meter , 2008, IEEE Transactions on Broadcasting.

[44]  Gabriel-Miro Muntean,et al.  Battery and Stream-Aware Adaptive Multimedia Delivery for wireless devices , 2010, IEEE Local Computer Network Conference.

[45]  Sheila S. Hemami,et al.  No-reference image and video quality estimation: Applications and human-motivated design , 2010, Signal Process. Image Commun..

[46]  Jon Boley,et al.  The Influence of Individual Audio Impairments on Perceived Video Quality , 2010 .

[47]  Cristina Hava Muntean,et al.  EcoLearn : Battery Power Friendly e-Learning Environment for Mobile Device Users , 2011 .

[48]  Gabriel-Miro Muntean,et al.  Resource Efficient Quality-Oriented Wireless Broadcasting of Adaptive Multimedia Content , 2007, IEEE Transactions on Broadcasting.

[49]  Lixin Gao,et al.  Energy-Efficient VoIP over Wireless LANs , 2010, IEEE Transactions on Mobile Computing.

[50]  Martin Reisslein,et al.  Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison , 2011, IEEE Transactions on Broadcasting.

[51]  Cristina Hava Muntean,et al.  Personalisation of the multimedia content delivered to mobile device users , 2009, 2009 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[52]  Margaret H. Pinson,et al.  A new standardized method for objectively measuring video quality , 2004, IEEE Transactions on Broadcasting.

[53]  Jun Xin,et al.  Video Adaptation : Concepts , Technologies , and Open Issues , .