Saliency-based multifoveated MPEG compression

Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003

Volumn 1, Issue , 2003, Pages 229-232

  Dhavale, Nitin ^a   Itti, Laurent ^a  

^a Computer Science Department University of Southem California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL PROCESSING;

COMPUTATIONAL MODEL; DIRECT MEASUREMENT; GAZE DIRECTION; NATURAL SCENES; NEUROBIOLOGICAL MODEL; UNCONSTRAINED ENVIRONMENTS; VIDEO SEGMENTS; VISUAL ATTENTION;

MOTION PICTURE EXPERTS GROUP STANDARDS;

EID: 84904309023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2003.1224682     Document Type: Conference Paper

References (19)

1. J.B.T.M. Roerdink A. Meijster and W.H. Hesselínk. A general algorithm for computing distance transforms in linear time. Mathematical Morphology and its Applications to Im- age and Signal Processing, J. Goutsias, L. Vincent and D. S. Bloomberg (eds.), Kìuwer, pages 331-340, 2000.
2. G Borgefors. Distance transformations in digital images. In CVGIP: Image Understanding, volume 54, page 301, 1991.
3. P. J. Burt and E. H. Adelson. The laplacian pyramid as a compact image code. IEEE Transactions on Communications, COM-31, 4:532-540, 1983.
4. F. W. Campbell and R. W. Gubisch. Optical quality of the human eye. JPhysiol, 186(3):558-578, Oct 1966.
5. P. Hatligan G. Fink, R. Dolan and C. Frith. Space-based and object-based visual attention: Shared and specifi c neural domains. Brain, pages 2013-2028, 1997.
6. L. Itti and C. Koch. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Res, 40(10-12):1489-15O6, 2000.
7. B. Moghaddamand and A. Pentland. probabilistic visual learning for object detection. Proc of fifth conf. on computer vision, pages 786-793, 1995.
8. K. Cave N. Bichot and H. Pashler, Visual selection mediated by location: Feautre based selection of non-contiguos locations. Perception and Psychophysics, pages 403-423, 1999.
9. V. Navalpakkam and L. Itti. A goal oriented attention guidance model. In Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV'O2), Tuebingen, Germany, pages 453-461, Nov 2002.
10. U. Neisser and R. Becklen. Selective looking: Attending to visually specifi ed events. Cognitive Psychology, pages 484-494, 1975.
11. D. Parkhurst, K. Law, and E. Niebur. Modeling the role of salience in the allocation of overt visual attention. Vision Res, 42(1):107-123, Jan 2002.
12. M. Posner and Y. Cohen. Components of visual orienting. Attention and Performance, pages 55-66, 1984.
13. C. Privitera and L. Stark. Algorithms for defining visual regions-of-interest: Comparision with eye fi xatìons. IEEE Transactions On Pattern Analysis And Machine Intelligence, 22:970-982, 1999.
14. Z. Pylyshyn and R. Storm. Tracking multiple independent targets: Evidence for parallel tracking mechanism. Spatial Vision, 3:179-197, 1988.
15. M. Reddy. Robust, sensor-independent target detection and recognition based on computational models of human vision. PhD thesis, University of Edinburgh, 1997.
16. R. A. Rensink. Change detection. Annu Rev Psychol, 53:245-277, 2002.
17. J. Rovatno and V. Virsu. An estimation and application of the human cortical magnification factor. Exp Brain Res, 37(3):495-510, 1979.
18. D. Simons and C. Chabris. Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 2002.
19. A.A. Wasilewski T.J. Doll, S.W. McWhorter and D.E. Schmieder. Robust, sensor-independent target detection and recognition based on computational models of human vision. Optical Engineering, 1998.