Linking distortion perception and visual saliency in H.264/AVC coded video containing packet loss

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7744, Issue , 2010, Pages

  Engelke, Ulrich ^a   Pepion, Romuald ^b   Le Callet, Patrick ^b   Zepernick, Hans Jürgen ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

^b UNIVERSITÉ DE NANTES   (France)

Author keywords

Distortion perception; Packet loss; Subjective experiment; Video transmission; Visual saliency

Indexed keywords

BIT STREAM; DISTORTED IMAGES; DISTORTION PERCEPTION; EYE-TRACKING; H.264/AVC; HUMAN OBSERVERS; PREDICTION PERFORMANCE; SALIENT REGIONS; SUBJECTIVE EXPERIMENTS; TRANSMISSION ERROR; VIDEO FRAME; VIDEO QUALITY; VIDEO TRANSMISSIONS; VISUAL SALIENCY;

COMMUNICATION; ERROR DETECTION; EXPERIMENTS; IMAGE CODING; IMAGE COMMUNICATION SYSTEMS; IMAGING SYSTEMS; MOTION COMPENSATION; MOTION PICTURE EXPERTS GROUP STANDARDS; VISUAL COMMUNICATION; VISUALIZATION;

PACKET LOSS;

EID: 78649773716     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.863508     Document Type: Conference Paper

References (23)

1. International Telecommunication Union, "Advanced video coding for generic audiovisual services," Rec. H.264, ITU-T (Nov. 2007).
2. Wiegand, T., Sullivan, G. J., Bjontegaard, G., and Luthra, A., "Overview of the H.264/AVC video coding standard," IEEE Trans. on Circuits and Systems for Video Technology 13, 560-576 (July 2003).
3. Kanumuri, S., Cosman, P. C, Reibman, A. R., and Vaishampayan, V. A., "Modeling packet-loss visibility in MPEG-2 video," IEEE Trans. on Multimedia 8, 341-355 (Apr. 2006).
4. Liu, T., Wang, Y., Boyce, J. M., Yang, H., and Wu, Z., "A novel video quality metric for low bit-rate video considering both coding and packet-loss artifacts," IEEE Journal of Selected Topics in Signal Processing 3, 280-293 (Apr. 2009).
5. Yang, K., Guest, C. C, El-Maleh, K., and Das, P. K., "Perceptual temporal quality metric for compressed video," IEEE Trans. on Multimedia 9, 15281535 (Nov. 2007).
6. Pastrana-Vidal, R. R., Gicquel, J. C, Colomes, C, and Cherifi, H., "Sporadic frame dropping impact on quality perception," in [Proc. of IS&T/SPIE Human Vision and Electronic Imaging], 5292, 182-193 (Jan. 2004).
7. Claypool, M. and Tanner, J., "The effects of jitter on the perceptual quality of video," in [Proc. of ACM Int. Conf on Multimedia], 115-118 (Oct. 1999).
8. Wandell, B. A., [Foundations of Vision], Sinauer Associates, Inc. (1995).
9. Itti, L., Koch, C, and Niebur, E., "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence 20, 1254-1259 (Nov. 1998).
10. Le Meur, O., Le Callet, P., Barba, D., and Thoreau, D., "A coherent computational approach to model bottom-up visual attention," IEEE Trans. on Pattern Analysis and Machine Intelligence 28, 802-817 (May 2006).
11. Engelke, U. and Zepernick, H.-J., "A framework for optimal region-of-interest based quality assessment in wireless imaging," Journal of Electronic Imaging, Special Section on Image Quality 19 (Jan. 2010).
12. Liu, H. and Heynderickx, I., "Studying the added value of visual attention in objective image quality metrics based on eye movement data," in [Proc. of IEEE Int. Conf on Image Processing], (Nov. 2009).
13. Vu, C. T., Larson, E. C, and Chandler, D. M., "Visual fixation patterns when judging image quality: Effects of distortion type, amount, and subject experience," in [Proc. of IEEE Southwest Symposium on Image Analysis and Interpretation], 73-76 (Mar. 2008).
14. Ninassi, A., Meur, O. L., Le Callet, P., and Barba, D., "Does where you gaze on an image affect your perception of quality? Applying visual attention to image quality metric," in [Proc. of IEEE Int. Conf on Image Processing], 2, 169-172 (Oct. 2007).
15. You, J., Perkis, A., Hannuksela, M., and Gabbouj, M., "Perceptual quality assessment based on visual attention analysis," in [Proc. of ACM Int. Conference on Multimedia], 561-564 (Oct. 2009).
16. Feng, X., Liu, T., Yang, D., and Wang, Y., "Saliency based objective quality assessment of decoded video affected by packet losses," in [Proc. of IEEE Int. Conf on Image Processing], 2560-2563 (Oct. 2008).
17. Video Quality Experts Group, "VQEG FTPfile server." ftp://vqeg.its.bldrdoc.gov/ (2009).
18. Boulos, F., Chen, W., Parrein, B., and Le Callet, P., "A new H.264/AVC error resilience model based on regions of interest," in [Proc. of Int. Packet Video Workshop], (May 2009).
19. Cambridge Research Systems, "Tools for vision science." http://www.crsltd.com/catalog/eye-trackers/index.html (2009).
20. International Telecommunication Union, "Subjective video quality assessment methods for multimedia applications," Rec. P.910, ITU-T (Sept. 1999).
21. Heinrich Hertz Institute Berlin, "H.264/AVC reference software JM 16.1." http://iphome.hhi.de/suehring/tml/ (2009).
22. Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG, "SVC/AVC Loss Simulator." http://wftp3.itu.int/av-arch/jvt-site/2005-10-Nice/ (2005).
23. International Telecommunication Union, "Methodology for the subjective assessment of the quality of television pictures," Rec. BT.500-11, ITU-R (2002).