A statistical measure for evaluating regions-of-interest based attention algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3175, Issue , 2004, Pages 383-390

  Clauss, Martin ^a   Bayerl, Pierre ^a   Neumann, Heiko ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

ATTENTION MECHANISMS; BOTTOM UP; DATA DRIVEN; REAL APPLICATIONS; REGIONS OF INTEREST; STATISTICAL MEASURES;

PATTERN RECOGNITION;

EID: 35048865421     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28649-3_47     Document Type: Article

References (9)

1. German, T. H., Leiserson, C. E., Rivest, R. L.: Introduction to Algorithms, New York: McGraw-Hill, 1997
2. Deco, G., Zihl, J.: Neurodynamical Mechanism of Binding and Selective Attention for-Visual Search, Neurocomputing, 32-33, pp. 693-699, 2000.
3. Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis., IEEE Transactions on pattern analysis and machine intelligence, Vol. 20, No 11, pp. 1254-1259, November 1998
4. Itti, L., and Koch, C.: A Comparison of Feature Combination Strategies for Saliency-Based Visual Attention Systems., SPIE human vision and electronic imaging IV(HVEI'99), San Jose, CA, pp. 473-482.
5. Kohonen, T.: Modeling of automatic capture and focusing of visual attention., Proceedings of the National Academy of Sciences of the USA, Vol. 99, No. 15, pp. 9813-9818, July 2002
6. Mazer, J. A. & Gallant, J. L.: Goal-Related Activity in V4 during Free Viewing Visual Search: Evidence for a Ventral Stream Visual Salience Map, Neuron, Vol. 40, pp. 1241-1250, December 2003
7. Nothdurft, H.C.: Texture segmentation and pop-out from orientation contrast. Vision Research 31, pp. 1073-1078, 1991
8. Stark, L. W., Choi, Y. S.: Experimental Metaphysics: The scanpath as an epistemological mechanism., W. H. Zangemeister, H. S. Stiehl, & C. Freska (Eds.), Visual attention and cognition, pp. 3-69. Amsterdam: Elsevier Science B.V.
9. Tsotsos, J. K., Culhane, S. M., Wai, W. Y. K., Lai, Y. H., Davis, N., Nuflo, R: Modeling visual attention via selective tuning., Artificial Intelligence, Vol 78, No 1-2, pp. 507-545, October 1995