Visual attention modelling for subjective image quality databases

2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09

Volumn , Issue , 2009, Pages

  Engelke, Ulrich ^a   Maeder, Anthony ^b   Zepernick, Hans Jürgen ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

^b UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EYE-TRACKING; IMAGE QUALITY METRICS; MODEL DESIGN; PERCEPTUAL IMAGE QUALITY; RESEARCH COMMUNITIES; SALIENT REGIONS; SUBJECTIVE IMAGE QUALITY; VISUAL ATTENTION;

DATABASE SYSTEMS; EXPERIMENTS; MULTIMEDIA SIGNAL PROCESSING; SIGNAL PROCESSING;

IMAGE QUALITY;

EID: 74349119378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2009.5293248     Document Type: Conference Paper

References (15)

1. A. M. Treisman and G. Gelade, "A feature-integration theory of attention," Cognitive Psychology, vol. 12, no. 1, pp. 97-136, Jan. 1980.
2. J. M. Wolfe, K. R. Cave, and S. L. Franzel, "Guided search: An alternative to the feature integration model for visual search," Journal of Experimental Psychology: Human Perception and Performance, vol. 15, no. 3, pp. 419-433, Aug. 1989.
3. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
4. C. M. Privitera and L. W. Stark, "Algorithms for defining visual regions-of-interest: Comparison with eye fixations," IEEE Trans. on Pattern Analysis and Machine Intelligence, 2000.
5. W. Osberger and A. M. Rohaly, "Automatic detection of regions of interest in complex video sequences," in Proc. of IS&T/SPIE Human Vision and Electronic Imaging VI, vol. 4299, Jan. 2001, pp. 361-372.
6. A. J. Maeder, "The image importance approach to human vision based image quality characterization," Pattern Recognition Letters, vol. 26, no. 3, pp. 347-354, Feb. 2005.
7. A. L. Yarbus, Eye Movements and Vision. Plenum, 1967.
8. U. Engelke and H.-J. Zepernick, "Optimal region-of-interest based visual quality assessment," in Proc. of IS&T/SPIE Human Vision and Electronic Imaging XIV, vol. 7240, Jan. 2009.
9. P. L. Callet and F. Autrusseau, "Subjective quality assessment IRC-CyN/IVC database," http://www.irccyn.ec-nantes.fr/ivcdb/, 2005.
10. H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik, "LIVE image quality assessment database release 2," http://live.ece.utexas.edu/ research/quality, 2005.
11. Z. M. P. Sazzad, Y. Kawayoke, and Y. Horita, "Image quality evaluation database," http://mict.eng.u-toyama.ac.jp/database-toyama, 2000.
12. O. L. Meur, P. L. Callet, D. Barba, and D. Thoreau, "A coherent computational approach to model bottom-up visual attention," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 802-817, May 2006.
13. International Telecommunication Union, "Methodology for the subjective assessment of the quality of television pictures," ITU-R, Rec. BT.500-11, 2002.
14. EyeTech Digital Systems, "TM3 eye tracker," http://www.eyetechds.com/, 2009.
15. C. Fookes, A. Maeder, S. Sridharan, and G. Mamic, "Gaze based personal identification," in Behavioral Biometrics for Human Identification: Intelligent Applications. IGI Global, 2009.