-
1
-
-
77955915707
-
-
http://www.flickr.com.
-
-
-
-
2
-
-
77955861269
-
-
http://www.google.com/mobile/goggles/.
-
-
-
-
3
-
-
77955900245
-
-
http://www.robots.ox.ac.uk/vgg/data/oxbuildings.
-
-
-
-
4
-
-
77955860934
-
-
http://www.tineye.com.
-
-
-
-
5
-
-
37849005399
-
Combining stroke-based and selection-based relevance feedback for content-based image retrieval
-
J. Cui and C. Zhang. Combining stroke-based and selection-based relevance feedback for content-based image retrieval. In ACM Multimedia, 2007.
-
(2007)
ACM Multimedia
-
-
Cui, J.1
Zhang, C.2
-
6
-
-
43249093335
-
Image retrieval: Ideas, influences, and trends of the new age
-
R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv., 40(2):1-60, 2008.
-
(2008)
ACM Comput. Surv.
, vol.40
, Issue.2
, pp. 1-60
-
-
Datta, R.1
Joshi, D.2
Li, J.3
Wang, J.Z.4
-
7
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
8
-
-
77951162233
-
A study of language model for image retrieval
-
B. Geng, L. Yang, and C. Xu. A study of language model for image retrieval. In ICDMW, 2009.
-
(2009)
ICDMW
-
-
Geng, B.1
Yang, L.2
Xu, C.3
-
9
-
-
84897804159
-
Incorporating real-valued multiple instance learning into relevance feedback for image retrieval
-
X. Hunag, S.-C. Chen, and M.-L. Shyu. Incorporating real-valued multiple instance learning into relevance feedback for image retrieval. In ICME, 2003.
-
(2003)
ICME
-
-
Hunag, X.1
Chen, S.-C.2
Shyu, M.-L.3
-
10
-
-
0032204063
-
A model of saliency-based visual attention for rapid scene analysis
-
Nov
-
L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE TPAMI, 20(11):1254-1259, Nov 1998.
-
(1998)
IEEE TPAMI
, vol.20
, Issue.11
, pp. 1254-1259
-
-
Itti, L.1
Koch, C.2
Niebur, E.3
-
11
-
-
1542347786
-
Automatic image annotation and retrieval using cross-media relevance models
-
J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. In SIGIR, 2003.
-
(2003)
SIGIR
-
-
Jeon, J.1
Lavrenko, V.2
Manmatha, R.3
-
13
-
-
0034790672
-
Document language models, query models, and risk minimization for information retrieval
-
J. Lafferty and C. Zhai. Document language models, query models, and risk minimization for information retrieval. In SIGIR, 2001.
-
(2001)
SIGIR
-
-
Lafferty, J.1
Zhai, C.2
-
14
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91-110, 2004.
-
(2004)
Int. J. Comput. Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
15
-
-
2342589340
-
Contrast-based image attention analysis by using fuzzy growing
-
Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In ACM Multimedia, 2003.
-
(2003)
ACM Multimedia
-
-
Ma, Y.-F.1
Zhang, H.-J.2
-
18
-
-
36548999696
-
The role of context in object recognition
-
December
-
A. Oliva and A. Torralba. The role of context in object recognition. Trends in Cognitive Sciences, 11(12):520-527, December 2007.
-
(2007)
Trends in Cognitive Sciences
, vol.11
, Issue.12
, pp. 520-527
-
-
Oliva, A.1
Torralba, A.2
-
19
-
-
34948903793
-
Object retrieval with large vocabularies and fast spatial matching
-
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
-
(2007)
CVPR
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
20
-
-
0345414182
-
Video google: A text retrieval approach to object matching in videos
-
J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In ICCV, 2003.
-
(2003)
ICCV
-
-
Sivic, J.1
Zisserman, A.2
-
21
-
-
0034498523
-
Content-based image retrieval at the end of the early years
-
A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE TPAMI, 22(12):1349-1380, 2000.
-
(2000)
IEEE TPAMI
, vol.22
, Issue.12
, pp. 1349-1380
-
-
Smeulders, A.W.M.1
Worring, M.2
Santini, S.3
Gupta, A.4
Jain, R.5
-
23
-
-
0029388540
-
Modeling visual attention via selective tuning
-
October
-
J. K. Tsotsos, S. M. Culhane, W. Y. K. Winky, Y. Lai, N. Davis, and F. Nuflo. Modeling visual attention via selective tuning. Artificial Intelligence, 78(1-2):507-545, October 1995.
-
(1995)
Artificial Intelligence
, vol.78
, Issue.1-2
, pp. 507-545
-
-
Tsotsos, J.K.1
Culhane, S.M.2
Winky, W.Y.K.3
Lai, Y.4
Davis, N.5
Nuflo, F.6
-
25
-
-
3042824043
-
A study of smoothing methods for language models applied to information retrieval
-
C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst., 22(2):179-214, 2004.
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.2
, pp. 179-214
-
-
Zhai, C.1
Lafferty, J.2
|