Exploring QoE for power efficiency: A field study on mobile videos with LCD Displays

MM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Volumn , Issue , 2015, Pages 431-440

  Yan, Zhisheng ^a   Liu, Qian ^a   Zhang, Tong ^b   Chen, Chang Wen ^a  

^a UNIVERSITY AT BUFFALO   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

LCD; Mobile Video Streaming; Power Consumption; QoE

Indexed keywords

ELECTRIC POWER UTILIZATION; LIQUID CRYSTAL DISPLAYS; VIDEO STREAMING;

BACKLIGHT SCALING; LIQUID CRYSTAL DISPLAY(LCD); MOBILE VIDEO STREAMING; POWER PERFORMANCE; POWER REDUCTIONS; QUALITY OF EXPERIENCE (QOE); TEMPORAL CONSISTENCY; USER EVALUATIONS;

QUALITY OF SERVICE;

EID: 84962909912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2733373.2806269     Document Type: Conference Paper

References (34)

1. A. Carroll and G. Heiser. An analysis of power consumption in a smartphone. In USENIX annual technical conference (USENIXATC), June 2010.
2. DisplaySearch. http://goo.gl/b56ebH.
3. W.-C. Cheng and M. Pedram. Power minimization in a backlit tft-lcd display by concurrent brightness and contrast scaling. IEEE Trans. Consum. Electron., 50:25-32, February 2004.
4. N. Chang, I. Choi, and H. Shim. Dls: dynamic backlight luminance scaling of liquid crystal display. IEEE Trans. VLSI Syst., 12:837-846, August 2004.
5. A. Iranli, H. Fatemi, and M. Pedram. Hebs: histogram equalization for backlight scaling. In Proc. of Design, Automation and Test in Europe (DATE), March 2005.
6. A. Iranli, W. Lee, and M. Pedram. Hvs-Aware dynamic backlight scaling in tft-lcds. IEEE Trans. VLSI Syst., 14:1103-1116, October 2006.
7. A. Bartolini, M. Ruggiero, and L. Benini. Hvs-dbs: human visual system-Aware dynamic luminance backlight scaling for video streaming applications. In ACM international conference on Embedded software (EMSOFT), October 2009.
8. C.-H. Lin, P.-C. Hsiu, and C.-K. Hsieh. Dynamic backlight scaling optimization: A cloud-based energy-saving service for mobile streaming applications. IEEE Trans. Comput., 63:335-348, February 2014.
9. Y. Liu, M. Xiao, M. Zhang, X. Li, M. Dong, Z. Ma, Z. Li, and S. Chen. Content-Adaptive display power saving in internet mobile streaming. In ACM NOSSDAV, March 2015.
10. P. Ni, R. Eg, A. Eichhorn, C. Griwodz, and P. Halvorsen. Flicker effects in adaptive video streaming to handheld devices. In ACM MM, November 2011.
11. L. Cheng, S. Mohapatra, M. El Zarki, N. Dutt, and N. Venkatasubramanian. Quality-based backlight optimization for video playback on handheld devices. Advances in Multimedia, 2007(1):4-4, 2007.
12. W. Lin and C.-C. Kuo. Perceptual visual quality metrics: A survey. Journal of Visual Communication and Image Representation, 22:297-312, May 2011.
13. W. Song and D. Tjondronegoro. Acceptability-based QoE models for mobile video. IEEE Trans. Multimedia, 16:738-750, April 2014.
14. F. Zhang, W. Lin, Z. Chen, and K. N. Ngan. Additive log-logistic model for networked video quality assessment. IEEE Trans. Image Process., 16:1536-1547, April 2013.
15. C. Alberti, D. Renzi, C. Timmerer, C. Mueller, S. Lederer, S. Battista, and M. Mattavelli. Automated QoE evaluation of dynamic adaptive streaming over http. In IEEE QoMEX, July 2013.
16. Z. Yan, J. Xue, and C. W. Chen. QoE continuum driven HTTP adaptive streaming over multi-client wireless networks. In IEEE International Conference on Multimedia and Expo (ICME), July 2014.
17. Opinion model for video-Telephony applications. ITU-T Recommendation G.1070. 2007.
18. W. Song, D. Tjondronegoro, and M. Docherty. Saving bitrate vs. pleasing users: where is the breakeven point in mobile video quality. In ACM MM, November 2011.
19. H. Knoche, J. McCarthy, and M. Sasse. Can small be beautiful?: Assessing image resolution requirements for mobile tv. In ACM MM, November 2005.
20. GT Fechner. Element of psychophysics. New York: Holt, Rinehart and Winston, 1966.
21. A. Balachandran, V. Aggarwal, E. Halepovic, J. Pang, S. Seshan, S. Venkataraman, and H. Yan. Modeling web quality-of-experience on cellular networks. In ACM MobiCom, September 2014.
22. A. Balachandran, V. Sekar, A. Akella, S. Seshan, I. Stoica, and H. Zhang. Developing a predictive model of quality of experience for internet video. In ACM SIGCOMM, August 2013.
23. Xiph. https://media.xiph.org/video/derf/.
24. DisplayMate. Smartphone displays under bright ambient lighting shoot-out. http://goo.gl/n89Kgo.
25. W. Song, D. Tjondronegoro, and I. Himawan. Acceptability-based QoE management for user-centric mobile video delivery: A field study evaluation. In ACM MM, November 2014.
26. S. Pasricha, M. Luthra, Shivajit Mohapatra, N. Dutt, and N. Venkatasubramanian. Dynamic backlight adaptation for low-power handheld devices. IEEE Des. Test. Comput., 21:398-405, September 2004.
27. R. Lienhart. Comparison of automatic shot boundary detection algorithms. In SPIE Electronic Imaging, pages 290-301, 1998.
28. A. Hanjalic. Shot-boundary detection: unraveled and resolved? IEEE Trans. Circuits Syst. Video Technol., 12:90-105, February 2002.
29. Y. Rubner, C. Tomasi, and L. Guibas. The earth mover's distance as a metric for image retrieval. International journal of computer vision, 40:99-121, November 2000.
30. A M. Ferman, A M. Tekalp, and R. Mehrotra. Robust color histogram descriptors for video segment retrieval and identification. IEEE Trans. Image Process., 11:497-508, May 2002.
31. R. Christensen. Log-Linear Models and Logistic Regression. Springer-Verlag, New York, USA, 1997.
32. M. Zink, O. Künzel, J. Schmitt, and R. Steinmetz. Subjective impression of variations in layer encoded videos. In IEEE/ACM IWQoS, June 2003.
33. Qualcomm. Devices that report accurate battery power. http://goo.gl/ZecX96.
34. M. Dong and L. Zhong. Power modeling and optimization for oled displays. IEEE Trans. Mobile Comput., 11:1587-1599, September 2012.