-
1
-
-
0018878142
-
A feature-integration theory of attention
-
A. M. Treisman and G. Gelade, "A feature-integration theory of attention," Cognitive Psychol., vol. 12, no. 1, pp. 97-136, 1980.
-
(1980)
Cognitive Psychol.
, vol.12
, Issue.1
, pp. 97-136
-
-
Treisman, A.M.1
Gelade, G.2
-
2
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998. (Pubitemid 128742001)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
3
-
-
0035286497
-
Computational modeling of visual attention
-
L. Itti and C. Koch, "Computational modeling of visual attention," Nature Rev. Neurosci., vol. 2, no. 3, pp. 194-203, 2001.
-
(2001)
Nature Rev. Neurosci.
, vol.2
, Issue.3
, pp. 194-203
-
-
Itti, L.1
Koch, C.2
-
4
-
-
30444455292
-
A principled approach to detecting surprising events in video
-
DOI 10.1109/CVPR.2005.40, 1467327, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
-
L. Itti and P. Baldi, "A principled approach to detecting surprising events in video," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2005, pp. 631-637. (Pubitemid 43897253)
-
(2005)
Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
, vol.I
, pp. 631-637
-
-
Itti, L.1
Baldi, P.2
-
6
-
-
51949107445
-
Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform
-
Jun
-
C. Guo, Q. Ma, and L. Zhang, "Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2008, pp. 1-8.
-
(2008)
Proc. IEEE Conf. Comput. Vision Pattern Recognit.
, pp. 1-8
-
-
Guo, C.1
Ma, Q.2
Zhang, L.3
-
7
-
-
84864037603
-
Graph-based visual saliency
-
Cambridge, MA: MIT Press
-
J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," in Advances in Neural Information Processing Systems, vol. 19. Cambridge, MA: MIT Press, 2007, pp. 545-552.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 545-552
-
-
Harel, J.1
Koch, C.2
Perona, P.3
-
8
-
-
34547210110
-
Visual attention detection in video sequences using spatiotemporal cues
-
DOI 10.1145/1180639.1180824, Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
-
Y. Zhai and M. Shah, "Visual attention detection in video sequences using spatiotemporal cues," in Proc. ACM Int. Conf. Multimedia, 2006, pp. 815-824. (Pubitemid 47113641)
-
(2006)
Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
, pp. 815-824
-
-
Zhai, Y.1
Shah, M.2
-
9
-
-
84864044921
-
A nonparametric approach to bottom-up visual saliency
-
Cambridge, MA: MIT Press
-
W. Kienzle, F. A. Wichmann, B. Scholkopf, and M. O. Franz, "A nonparametric approach to bottom-up visual saliency," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2007, pp. 689-696.
-
(2007)
Advances in Neural Information Processing Systems
, pp. 689-696
-
-
Kienzle, W.1
Wichmann, F.A.2
Scholkopf, B.3
Franz, M.O.4
-
10
-
-
33846786973
-
Search goal tunes visual features optimally
-
DOI 10.1016/j.neuron.2007.01.018, PII S0896627307000384
-
V. Navalpakkam and L. Itti, "Search goal tunes visual features optimally," Neuron, vol. 53, no. 4, pp. 605-617, Feb. 2007. (Pubitemid 46216750)
-
(2007)
Neuron
, vol.53
, Issue.4
, pp. 605-617
-
-
Navalpakkam, V.1
Itti, L.2
-
11
-
-
34948863856
-
Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
-
Jun
-
R. J. Peters and L. Itti, "Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2007, pp. 1-8.
-
(2007)
Proc. IEEE Conf. Comput. Vision Pattern Recognit.
, pp. 1-8
-
-
Peters, R.J.1
Itti, L.2
-
12
-
-
84858783652
-
Clustered multi-task learning: A convex formulation
-
Cambridge, MA: MIT Press
-
L. Jacob, F. Bach, and J.-P. Vert, "Clustered multi-task learning: A convex formulation," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2008, pp. 745-752.
-
(2008)
Advances in Neural Information Processing Systems
, pp. 745-752
-
-
Jacob, L.1
Bach, F.2
Vert, J.-P.3
-
13
-
-
84864063089
-
Multi-task feature learning
-
Cambridge, MA: MIT Press
-
A. Argyriou, T. Evgeniou, and M. Pontil, "Multi-task feature learning," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2007, pp. 41-48.
-
(2007)
Advances in Neural Information Processing Systems
, pp. 41-48
-
-
Argyriou, A.1
Evgeniou, T.2
Pontil, M.3
-
14
-
-
70449594893
-
Crcns data sharing: Eye movements during free-viewing of natural videos
-
Jun
-
L. Itti, "Crcns data sharing: Eye movements during free-viewing of natural videos," in Proc. Collaborative Res. Comput. Neurosci. Annu. Meeting, Jun. 2008, pp. 1-4.
-
(2008)
Proc. Collaborative Res. Comput. Neurosci. Annu. Meeting
, pp. 1-4
-
-
Itti, L.1
-
15
-
-
4644367942
-
An efficient boosting algorithm for combining preferences
-
Dec
-
Y. Freund, R. Iyer, R. E. Schapire, Y. Singer, and G. Dietterich, "An efficient boosting algorithm for combining preferences," J. Mach. Learning Res., vol. 4, pp. 170-178, Dec. 2004.
-
(2004)
J. Mach. Learning Res.
, vol.4
, pp. 170-178
-
-
Freund, Y.1
Iyer, R.2
Schapire, R.E.3
Singer, Y.4
Dietterich, G.5
-
18
-
-
77956521332
-
The top in top-down attention
-
L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press
-
C. Frith, "The top in top-down attention," in Neurobiological Attention, L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press, 2005, pp. 105-108.
-
(2005)
Neurobiological Attention
, pp. 105-108
-
-
Frith, C.1
-
19
-
-
33750684017
-
Modeling attention to salient proto-objects
-
DOI 10.1016/j.neunet.2006.10.001, PII S0893608006002152
-
D. Walther and C. Koch, "Modeling attention to salient proto-objects," Neural Netw., vol. 19, no. 9, pp. 1395-1407, 2006. (Pubitemid 44708603)
-
(2006)
Neural Networks
, vol.19
, Issue.9
, pp. 1395-1407
-
-
Walther, D.1
Koch, C.2
-
20
-
-
61349170126
-
Modeling spatio-temporal saliency to predict gaze direction for short videos
-
S. Marat, T. H. Phuoc, L. Granjon, N. Guyader, D. Pellerin, and A. Guerin-Dugue, "Modeling spatio-temporal saliency to predict gaze direction for short videos," Int. J. Comput. Vision, vol. 82, no. 3, pp. 231-243, 2009.
-
(2009)
Int. J. Comput. Vision
, vol.82
, Issue.3
, pp. 231-243
-
-
Marat, S.1
Phuoc, T.H.2
Granjon, L.3
Guyader, N.4
Pellerin, D.5
Guerin-Dugue, A.6
-
21
-
-
84883117655
-
Robust subspace analysis for detecting visual attention regions in images
-
Y. Hu, D. Rajan, and L.-T. Chia, "Robust subspace analysis for detecting visual attention regions in images," in Proc. ACM Int. Conf. Multimedia, 2005, pp. 716-724.
-
(2005)
Proc. ACM Int. Conf. Multimedia
, pp. 716-724
-
-
Hu, Y.1
Rajan, D.2
Chia, L.-T.3
-
22
-
-
37849027291
-
Region-based visual attention analysis with its application in image browsing on small displays
-
H. Liu, S. Jiang, Q. Huang, C. Xu, and W. Gao, "Region-based visual attention analysis with its application in image browsing on small displays," in Proc. ACM Int. Conf. Multimedia, 2007, pp. 305-308.
-
(2007)
Proc. ACM Int. Conf. Multimedia
, pp. 305-308
-
-
Liu, H.1
Jiang, S.2
Huang, Q.3
Xu, C.4
Gao, W.5
-
23
-
-
85161958871
-
Predicting human gaze using low-level saliency combined with face detection
-
Cambridge, MA: MIT Press
-
M. Cerf, J. Harel, W. Einhauser, and C. Koch, "Predicting human gaze using low-level saliency combined with face detection," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2008, pp. 241-248.
-
(2008)
Advances in Neural Information Processing Systems
, pp. 241-248
-
-
Cerf, M.1
Harel, J.2
Einhauser, W.3
Koch, C.4
-
24
-
-
69949166651
-
A study on the effect of camera motion on human visual attention
-
Oct
-
G. Abdollahian, Z. Pizlo, and E. J. Delp, "A study on the effect of camera motion on human visual attention," in Proc. IEEE Int. Conf. Image Process., Oct. 2008, pp. 693-696.
-
(2008)
Proc. IEEE Int. Conf. Image Process.
, pp. 693-696
-
-
Abdollahian, G.1
Pizlo, Z.2
Delp, E.J.3
-
25
-
-
26844540415
-
A generic framework of user attention model and its application in video summarization
-
DOI 10.1109/TMM.2005.854410
-
Y.-F. Ma, X.-S. Hua, L. Lu, and H.-J. Zhang, "A generic framework of user attention model and its application in video summarization," IEEE Trans. Multimedia, vol. 7, no. 5, pp. 907-919, Oct. 2005. (Pubitemid 41452519)
-
(2005)
IEEE Transactions on Multimedia
, vol.7
, Issue.5
, pp. 907-919
-
-
Ma, Y.-F.1
Hua, X.-S.2
Lu, L.3
Zhang, H.-J.4
-
26
-
-
84882482478
-
Contextual guidance of visual attention
-
L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press
-
M. M. Chun, "Contextual guidance of visual attention," in Neurobi-ological Attention, L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press, pp. 246-250, 2005.
-
(2005)
Neurobi-ological Attention
, pp. 246-250
-
-
Chun, M.M.1
-
27
-
-
38149078908
-
How to find interesting locations in video: A spatiotemporal interest point detector learned from human eye movements
-
W. Kienzle, B. Scholkopf, F. A. Wichmann, and M. O. Franz, "How to find interesting locations in video: A spatiotemporal interest point detector learned from human eye movements," in Proc. 29th DAGM Symp., 2007, pp. 405-414.
-
(2007)
Proc. 29th DAGM Symp
, pp. 405-414
-
-
Kienzle, W.1
Scholkopf, B.2
Wichmann, F.A.3
Franz, M.O.4
-
28
-
-
54049102569
-
A stochastic model of selective visual attention with a dynamic Bayesian network
-
Jun
-
D. Pang, A. Kimura, T. Takeuchi, J. Yamato, and K. Kashino, "A stochastic model of selective visual attention with a dynamic Bayesian network," in Proc. IEEE Int. Conf. Multimedia and Expo, Jun. 2008, pp. 1073-1076.
-
(2008)
Proc. IEEE Int. Conf. Multimedia and Expo
, pp. 1073-1076
-
-
Pang, D.1
Kimura, A.2
Takeuchi, T.3
Yamato, J.4
Kashino, K.5
-
29
-
-
34948869862
-
Learning to detect a salient object
-
Jun
-
T. Liu, J. Sun, N.-N. Zheng, X. Tang, and H.-Y. Shum, "Learning to detect a salient object," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2007, pp. 1-8.
-
(2007)
Proc. IEEE Conf. Comput. Vision Pattern Recognit.
, pp. 1-8
-
-
Liu, T.1
Sun, J.2
Zheng, N.-N.3
Tang, X.4
Shum, H.-Y.5
-
30
-
-
77957935092
-
Video attention: Learning to detect a salient object sequence
-
Dec
-
T. Liu, N. Zheng, W. Ding, and Z. Yua, "Video attention: Learning to detect a salient object sequence," in Proc. IEEE Int. Conf. Pattern Recognit., Dec. 2008, pp. 1-4.
-
(2008)
Proc. IEEE Int. Conf. Pattern Recognit.
, pp. 1-4
-
-
Liu, T.1
Zheng, N.2
Ding, W.3
Yua, Z.4
-
31
-
-
77951969599
-
Cost-sensitive rank learning from positive and unlabeled data for visual saliency estimation
-
Jun.
-
J. Li, Y. Tian, T. Huang, and W. Gao, "Cost-sensitive rank learning from positive and unlabeled data for visual saliency estimation," IEEE Signal Process. Lett., vol. 17, no. 6, pp. 591-594, Jun. 2010.
-
(2010)
IEEE Signal Process. Lett.
, vol.17
, Issue.6
, pp. 591-594
-
-
Li, J.1
Tian, Y.2
Huang, T.3
Gao, W.4
-
32
-
-
59049093841
-
Contextual influences on saliency
-
L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press
-
A. Torralba, "Contextual influences on saliency," in Neurobiological Attention, L. Itti, G. Rees, and J. K. Tsotsos, Eds., 1st ed. Amsterdam, The Netherlands: Elsevier Press, pp. 586-592, 2005.
-
(2005)
Neurobiological Attention
, pp. 586-592
-
-
Torralba, A.1
-
33
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
Apr
-
T. Evgeniou, C. A. Micchelli, and M. Pontil, "Learning multiple tasks with kernel methods," J. Mach. Learning Res., vol. 6, pp. 615-637, Apr. 2005.
-
(2005)
J. Mach. Learning Res.
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
34
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the em algorithm," J. Royal Statist. Soc. Series B, vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
J. Royal Statist. Soc. Series B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
35
-
-
57349154278
-
A boosting algorithm for learning bipartite ranking functions with partially labeled data
-
M.-R. Amini, T.-V. Truong, and C. Goutte, "A boosting algorithm for learning bipartite ranking functions with partially labeled data," in Proc. SIGIR, 2008, pp. 99-106.
-
(2008)
Proc. SIGIR
, pp. 99-106
-
-
Amini, M.-R.1
Truong, T.-V.2
Goutte, C.3
-
37
-
-
0023541050
-
Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization
-
Jun
-
R. L. Watrous, "Learning algorithms for connectionist networks: Applied gradient methods of nonlinear optimization," in Proc. IEEE Int. Conf. Neural Netw., Jun. 1987, pp. 619-627.
-
(1987)
Proc. IEEE Int. Conf. Neural Netw.
, pp. 619-627
-
-
Watrous, R.L.1
-
38
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
Apr
-
T. Evgeniou, C. A. Micchelli, and M. Pontil, "Learning multiple tasks with kernel methods," Mach. Learning Res., vol. 6, pp. 615-637, Apr. 2005.
-
(2005)
Mach. Learning Res.
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
39
-
-
57949108274
-
Fast algorithms for nonparametric population modeling of large data sets
-
Jan
-
G. Pillonetto, G. D. Nicolao, M. Chierici, and C. Cobelli, "Fast algorithms for nonparametric population modeling of large data sets," Automatica, vol. 45, no. 1, pp. 173-179, Jan. 2009.
-
(2009)
Automatica
, vol.45
, Issue.1
, pp. 173-179
-
-
Pillonetto, G.1
Nicolao, G.D.2
Chierici, M.3
Cobelli, C.4
-
40
-
-
33646023117
-
An introduction to ROC analysis
-
T. Fawcett, "An introduction to ROC analysis," Pattern Recognit. Lett., vol. 27, no. 8, pp. 861-874, 2006.
-
(2006)
Pattern Recognit. Lett.
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
|