Optimal region-of-interest based visual quality assessment

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7240, Issue , 2009, Pages

  Engelke, Ulrich ^a   Zepernick, Hans Jürgen ^a  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Multi objective optimization; Objective image quality metrics; Region of interest; Subjective experiments; Visual attention

Indexed keywords

DISTORTED IMAGES; HUMAN VISUAL SYSTEMS; OBJECTIVE IMAGE QUALITY METRICS; OPTIMAL REGIONS; OPTIMAL WEIGHTING; QUALITY METRIC; QUALITY METRICS; QUALITY PREDICTIONS; REFERENCE IMAGES; REGION-BASED SEGMENTATIONS; REGION-OF-INTEREST; REGIONS OF INTERESTS; SUBJECTIVE EXPERIMENTS; SUBJECTIVE QUALITIES; VISUAL ATTENTION; VISUAL CONTENTS; VISUAL QUALITIES; VISUAL QUALITY ASSESSMENTS; VISUAL QUALITY METRIC; VISUAL SIGNALS;

DESIGN; EXPERIMENTS; IMAGE QUALITY; VISUAL COMMUNICATION;

MULTIOBJECTIVE OPTIMIZATION;

EID: 63749114895     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.805933     Document Type: Conference Paper

References (34)

1. Mannos, J. and Sakrison, D., "The effects of a visual fidelity criterion on the encoding of images," IEEE Trans. on Information Theory 20(4), 525-536 (1974).
2. Lukas, F. and Budrikis, Z., "Picture quality prediction based on a visual model," IEEE Trans. on Communications 30(7), 1679-1692 (1982).
3. Daly, S., "Visible differences predictor: an algorithm for the assessment of image fidelity," Human Vision, Visual Processing, and Digital Display III 1666, 2-15 (1992).
4. Watson, A. B., Hu, J., and McGowan, J. F., "Digital video quality metric based on human vision," SPIE Journal of Electronic Imaging 10(1), 20-29 (2001).
5. Martens, J. B., "Multidimensional modeling of image quality," Proc. of the IEEE 90(1), 133-153 (2002).
6. Keelan, B. W., [Handbook of Image Quality: Characterization and Prediction], CRC Press (2002).
7. Pappas, T. N., Safranek, R. J., and Chen, J., "Perceptual criteria for image quality evaluation," in [Handbook of Image and Video Processing], Bovik, A. C., ed., ch. 8.2, 939-960, Academic Press (2005).
8. H. R. Wu and K. R. Rao (Ed.), [Digital Video Image Quality and Perceptual Coding], CRC Press (2006).
9. Engelke, U., "A perceptual-based objective quality metric for wireless imaging." Lic. dissertation, Blekinge Institute of Technology (2008).
10. Yarbus, A. L., [Eye Movements and Vision], Plenum (1967).
11. Privitera, C. M. and Stark, L. W., "Algorithms for defining visual regions-of-interest: Comparison with eye fixations," IEEE Trans. on Pattern Analysis and Machine Intelligence 22(9), 970-982 (2000).
12. Ninassi, A., Meur, O. L., Callet, P. L., and Barba, D., "Does where you gaze on an image affect your perception of quality? Applying visual attention to image quality metric," in [Int. Conf. on Image Processing], Proc. IEEE 2, 169-172 (2007).
13. 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(11), 1254-1259 (1998).
14. Maeder, A. J., "The image importance approach to human vision based image quality characterization," Pattern Recognition Letters 26(3), 347-354 (2005).
15. Osberger, W. and Rohaly, A. M., "Automatic detection of regions of interest in complex video sequences," in [Human Vision and Electronic Imaging], Proc. IS&T/SPIE 4299, 361-372 (2001).
16. Pinneli, S. and Chandler, D. M., "A Bayesian approach to predicting the perceived interest of objects," in [Int. Conf. on Image Processing], Proc. IEEE, 2584-2587 (2008).
17. Vleeschouwer, C. D., Marichal, X., Delmot, T., and Macq, B., "A fuzzy logic system able to detect interesting areas of a video sequence," in [Human Vision and Electronic Imaging II], Proc. IS&T/SPIE 3016, 234-245 (1997).
18. Liu, D. and Chen, T., "DISCOV: A framework for discovering objects in video," IEEE Trans. on Multimedia 10(2), 200-208 (2008).
19. Engelke, U. and Zepernick, H. J., "Pareto optimal weighting of structural impairments for wireless imaging quality assessment," in [Int. Conf. on Image Processing], Proc. IEEE, 373-376 (2008).
20. Kusuma, T. M., Zepernick, H.-J., and Caldera, M., "On the development of a reduced-reference perceptual image quality metric," in [Int. Conf. on Multimedia Communications Systems], 178-184 (2005).
21. International Telecommunication Union, "Methodology for the subjective assessment of the quality of television pictures," Rec. BT.500-11, ITU-R (2002).
22. Wang, Z., Sheikh, H. R., and Bovik, A. C., "No-reference perceptual quality assessment of JPEG compressed images," in [Int. Conf. on Image Processing], Proc. IEEE 1, 477-480 (2002).
23. Marziliano, P., Dufaux, F., Winkler, S., and Ebrahimi, T., "A no-reference perceptual blur metric," in [Int. Conf. on Image Processing], Proc. IEEE 3, 57-60 (2002).
24. Saha, S. and Vemuri, R., "An analysis on the effect of image features on lossy coding performance," IEEE Signal Processing Letters 7(5), 104-107 (2000).
25. Kusuma, T. M., A Perceptual-based Objective Quality Metric for Wireless Imaging, PhD thesis, Curtin University of Technology, Perth, Australia (2005).
26. Ohm, J.-R., [Multimedia Communication Technology: Representation, Transmission and Identification of Multimedia Signals], Springer (2004).
27. Video Quality Experts Group, "Final report from the Video Quality Experts Group on the validation of objective models of video quality assessment, phase II." VQEG (2003).
28. de Ridder, H., "Minkowski-metrics as a combination rule for digital-image-coding impairments," in [Human Vision, Visual Processing, and Digital Display III], Proc. IS&T/SPIE 1666, 16-26 (1992).
29. Fonseca, C. M. and Fleming, P. J., "Multiobjective optimization," in [Evolutionary Computation 2: Advanced Algorithms and Operations], Back, T., Fogel, D. B., and Michalewicz, Z., eds., ch. 5, 25-37, Taylor & Francis (2000).
30. Zadeh, L. A., "Optimality and non-scalar-valued performance criteria," IEEE Trans. on Automatic Control 8(1), 59-60 (1963).
31. Gembicki, F. W. and Haimes, Y. Y., "Approach to performance and sensitivity multiobjective optimization: The goal attainment method," IEEE Trans. on Automatic Control 20(6), 769-771 (1975).
32. Wang, Z., Bovik, A. C., Sheikh, H. R., and Simoncelli, E. P., "Image quality assessment: From error visibility to structural similarity," IEEE Trans. on Image Processing 13(4), 600-612 (2004).
33. Sheikh, H. R. and Bovik, A. C., "Image information and visual quality," IEEE Trans. on Image Processing 15(2), 430-444 (2006).
34. Seshadrinathan, K. and Bovik, A. C., "Unifying analysis of full reference image quality assessment," in [Int. Conf. on Image Processing], Proc. IEEE, 1200-1203 (2008).