A model for saliency detection using NMFsc algorithm

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

Volumn 5702 LNCS, Issue , 2009, Pages 301-308

  Liu, Jian ^a   Liu, Yuncai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

NMFsc algorithm; Saliency Detection; Salient Information

Indexed keywords

BASIS FUNCTIONS; HUMAN VISUAL SYSTEM; NATURAL IMAGES; NMFSC ALGORITHM; NONNEGATIVE MATRIX FACTORIZATION; OBJECT DETECTION AND RECOGNITION; SALIENCY DETECTION; SALIENCY MAP; SALIENT INFORMATION; SPARSENESS CONSTRAINTS; THEORETIC MODEL; VISUAL SALIENCY;

BLIND SOURCE SEPARATION; DISCRETE COSINE TRANSFORMS; FACE RECOGNITION; FACTORIZATION; IMAGE ANALYSIS; INFORMATION THEORY; LEARNING ALGORITHMS;

OBJECT RECOGNITION;

EID: 70349330910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03767-2_37     Document Type: Conference Paper

References (17)

1. Fergus, R., Perona, P., Zisserman, A.: Object Class Recognition by Unsupervised Scale-invariant Learning. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2003)
2. Treisman, A., Gelade, G.: A Feature-Integration Theory of Attention. Cognitive Psychology 12(1), 97-136 (1980)
3. Itti, L., Koch, C., Niebur, E.: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. TPAMI 20(11), 1254-1259 (1998)
4. Oliva, A., Torralba, A., Castelhano, M., Henderson, J.: Top-down control of visual attention in object detection. In: IEEE International Conference on Image Processing (2003)
5. Harel, J., Koch, C., Perona, P.: Graph-Based Visual Saliency. In: Advances in Neural Information Processing Systems (2007)
6. Bruce, N., Tsotsos, J.: Saliency Based on Information Maximization. In: Advances in Neural Information Processing Systems, vol. 18 (2006)
7. Hou, X., Zhang, L.: Saliency Detection: A Spectral Residual Approach. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2007)
8. Hoyer, P.: Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 14, 1457-1469 (2004)
9. Olshausen, B., Field, D.: Natural image statistics and efficient coding. Network: Computation in Neural Systems 14, 333-339 (1996)
10. Hoyer, P.: Non-negative sparse coding. In: Proc. IEEE Workshop on Neural Networks for Signal Processing, vol. 12, pp. 557-565 (2002)
11. Engel, S., Zhang, X., Wandell, B.: Colour Tuning in Human Visual Cortex Measured With Functional Magnetic Resonance Imaging. Nature 388(6637), 68-71 (1997)
12. Hou, X., Zhang, L.: Dynamic Visual Attention: Searching for coding length increments. In: Advances in Neural Information Processing Systems (2008)
13. Shannon, C.: A mathematical theory of communication. Bell System Technical Journal 27, 93-154 (1948)
14. Frey, H.P., König, P., Einhäuser, W.: The Role of First-and Second-Order Stimulus Features for Human Overt Attention. Perception and Psychophysics 69, 153-161 (2007)
15. Walther, D., Koch, C.: Modeling attention to salient proto-objects. Neural Networks 19, 1395-1407 (2006)
16. Tatler, B., Baddeley, R., Gilchrist, I.: Visual correlates of fixation selection: effects of scale and time. Vision Research 14, 643-659 (2005)
17. van der Linde, I., Rajashekar, U., Bovik, A., Cormack, L.: DOVES: A Database of Visual Eye Movements. Spatial Vision (2008) (in press)