Memorability of natural scenes: The role of attention

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 196-200

  Mancas, Matei ^a   Le Meur, Olivier ^b  

^a UNIVERSITY OF MONS   (Belgium)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

Eye tracking; Image memorability; Inter observer congruency; Saliency; Visual attention

Indexed keywords

BEHAVIORAL RESEARCH; EYE TRACKING;

IMAGE DATABASE; IMAGE MEMORABILITY; INTER-OBSERVER CONGRUENCY; LOW-LEVEL FEATURES; NATURAL SCENES; SALIENCY; TWO-AXIS; VISUAL ATTENTION;

IMAGE PROCESSING;

EID: 84897696414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2013.6738041     Document Type: Conference Paper

References (16)

1. P. Isola, J. Xiao, A. Torralba, and A. Oliva, "What makes an image memorable?," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 145-152
2. A. Khosla, J. Xiao, A. Torralba, and A. Oliva, "Memorability of image regions," in Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, USA, December 2012
3. L. Itti, C. Koch, and E. Niebur, "A model for saliencybased visual attention for rapid scene analysis," IEEE Trans. on PAMI, vol. 20, pp. 1254-1259, 1998
4. M. Mancas, "Memorability project web page," http://www.tcts.fpms.ac.be/attention/ ?categorie26/images-memorability
5. O. Le Meur, "Home page," http://people. irisa.fr/Olivier.Le- Meur
6. Face Lab 5, "Product," http://www. seeingmachines.com/product/ facelab
7. J.M. Henderson, "Regarding scenes," Current Directions in Psychological Science, vol. 16, pp. 219-222, 2007
8. B. W. Tatler, R. J. Baddeley, and I. D. Gilchrist, "Visual correlates of fixation selection: effects of scale and time," Vision Research, vol. 45, pp. 643-659, 2005
9. O. Le Meur and T. Baccino, "Methods for comparing scanpaths and saliency maps: strengths and weaknesses," Behavior Research Methods, pp. 1-16, 2012
10. R. Carmi and L. Itti, "Causal saliency effects during natural vision," in Proc. ACM Eye Tracking Research and Applications, Mar 2006, pp. 11-18
11. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," International Journal of Computer Vision, vol. 42, no. 3, pp. 145-175, 2001
12. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. IEEE, 2006, vol. 2, pp. 2169-2178
13. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, vol. 1, pp. 886-893
14. E. Shechtman and M. Irani, "Matching local selfsimilarities across images and videos," in Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on. IEEE, 2007, pp. 1-8
15. N. Riche, M. Mancas, M. Duvinage, M. Mibulumukini, B. Gosselin, and T. Dutoit, "Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis," Signal Processing: Image Communication, vol. 28, pp. 642-658, 2013
16. L. Itti, C. Koch, and E. Niebur, "A model of saliencybased visual attention for rapid scene analysis," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 20, no. 11, pp. 1254-1259, 1998.