Display device-adapted video quality-of-experience assessment

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9394, Issue , 2015, Pages

  Rehman, Abdul ^a   Zeng, Kai ^a   Wang, Zhou ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Display device; Subjective study; Video monetization; Video quality assessment; Video quality of experience; Viewing coniditions

Indexed keywords

BEHAVIORAL RESEARCH; QUALITY OF SERVICE; SMARTPHONES; VIDEO RECORDING; VIDEO SIGNAL PROCESSING;

SUBJECTIVE STUDY; VIDEO MONETIZATION; VIDEO QUALITY; VIDEO QUALITY ASSESSMENT; VIEWING CONIDITIONS;

DISPLAY DEVICES;

EID: 84928485354     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2077917     Document Type: Conference Paper

References (19)

1. Cisco Systems, Inc., "Cisco visual networking index: Global mobile data traffic forecast update, 2013-2018", (Feb. 2014).
2. Wang, Z. and Bovik, A., "Mean squared error: love it or leave it? - a new look at signal fidelity measures", IEEE Signal Processing Magazine 26, 98-117 (Jan. 2009).
3. Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P., "Image quality assessment: From error visibility to structural similarity", IEEE Trans. Image Processing 13, 600-612 (Apr. 2004).
4. Wang, Z., Lu, L., and Bovik, A. C., "Video quality assessment based on structural distortion measurement", Signal Processing: Image Communication, special issue on objective video quality metrics 19, 121-132 (Feb. 2004).
5. Wang, Z., Simoncelli, E. P., and Bovik, A. C., "Multi-scale structural similarity for image quality assessment", in [Proc. IEEE Asilomar Conf. on Signals, Systems, and Computers], 1398-1402 (Nov. 2003).
6. Pinson, M. H. and Wolf, S., "A new standardized method for objectively measuring video quality", IEEE Trans. Broadcasting 50(3), 312-322 (2004).
7. Seshadrinathan, K. and Bovik, A. C., "Motion tuned spatio-temporal quality assessment of natural videos", IEEE Trans. Image Processing 19, 335-350 (Feb. 2010).
8. Zeng, K., Rehman, A., Wang, J., and Wang, Z., "From H.264 to HEVC: coding gain predicted by objective video quality assessment models", in [7th Int. Workshop on Video Processing and Quality Metrics for Consumer Electronics], 42-46 (Jan. 2013).
9. Moorthy, A. K., Choi, L. K., Bovik, A. C., and de Veciana, G., "Video quality assessment on mobile devices: Subjective, behavioral and objective studies", J. Sel. Topics Signal Processing 6(6), 652-671 (2012).
10. Liao, Y., Younkin, A., Foerster, J., and Corriveau, P., "Achieving high qoe across the compute continuum: How compression, content, and devices interact", in [7th Int. Workshop on Video Processing and Quality Metrics for Consumer Electronics], 91-95 (Jan. 2013).
11. Inc, T., "Understanding PQR, DMOS and PSNR Measurements." http://www.tek.com/document/fact-sheet/understanding-pqr-dmos-and-psnr-measurements/ (2014). [Online; accessed September 12, 2014].
12. Clarity, V., "Understanding MOS, JND and PSNR." http://videoclarity.com/wpunderstandingjnddmospsnr/ (2014). [Online; accessed September 07, 2014].
13. Aimar, L., Merritt, L., Petit, E., Chen, M., Clay, J., Rullgrd, M., Heine, C., and Izvorski, A., "x264 - a free H264/AVC encoder." http://www.videolan.org/developers/x264.html (2015). [Online; accessed January 06, 2015].
14. ITU-T Recommendation P.910, "Subjective video quality assessment methods for multimedia applications", tech. rep., International Telecommunication Union, Geneva, Switzerland (Apr. 2008).
15. ITU-R Recommendation BT.500-11, "Methodology for the subjective assessment of the quality of television pictures", (Mar. 2002).
16. Baroncini, V., Ohm, J. R., and J., S. G., "Report on preliminary subjective testing of hevc compression capability", in [JCT-VC of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11], (Feb. 2012).
17. Sullivan, G., Ohm, J., Han, W., and Wiegand, T., "Overview of the high efficiency video coding (HEVC) standard", IEEE Trans. Circuits Syst. Video Techn. 22(12), 1649-1668 (2012).
18. Sheikh, H. R., Sabir, M., and Bovik, A. C., "A statistical evaluation of recent full reference image quality assessment algorithms", IEEE Trans. Image Processing 15, 3440-3451 (Nov. 2006).
19. VQEG, "Final report from the video quality experts group on the validation of objective models of video quality assessment", tech. rep., available at http://www.vqeg.org/ (Apr. 2000).