-
1
-
-
1542317693
-
Using terminological feedback for Web search refinement-A log-based study
-
Research and Development in Information Retrieval
-
P. Anick, Using terminological feedback for Web search refinement-A log-based study, Proc Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (2003), 88-95.
-
(2003)
Proc Int'l ACM SIGIR Conf
, pp. 88-95
-
-
Anick, P.1
-
2
-
-
0036684357
-
Blobworld: Image segmentation using expectation-Maximization and its application to image querying
-
C. Carson, S. Belongie, H. Greenspan, and J. Malik, Blobworld: Image segmentation using expectation-Maximization and its application to image querying, IEEE Trans Pattern Anal Mach Intell 24 (2002), 1026-1038.
-
(2002)
IEEE Trans Pattern Anal Mach Intell
, vol.24
, pp. 1026-1038
-
-
Carson, C.1
Belongie, S.2
Greenspan, H.3
Malik, J.4
-
3
-
-
84898409430
-
Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance
-
H. Chang and D.-Y. Yeung, Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance, British Machine Vision Conf, 2005.
-
(2005)
British Machine Vision Conf
-
-
Chang, H.1
Yeung, D.-Y.2
-
4
-
-
33846330953
-
A latent semantic indexing based method for solving multiple instance learning problem in region-based image retrieval
-
X. Chen, C. Zhang, S.-C. Chen, and M. Chen, A latent semantic indexing based method for solving multiple instance learning problem in region-based image retrieval, Proc. IEEE Int'l Symposium Multimedia (2005), 37-45.
-
(2005)
Proc. IEEE Int'l Symposium Multimedia
, pp. 37-45
-
-
Chen, X.1
Zhang, C.2
Chen, S.-C.3
Chen, M.4
-
5
-
-
0035164084
-
One-class SVM for learning in image retrieval
-
Y. Chen, X. Zhou, and T.S. Huang, One-class SVM for learning in image retrieval, Proc. IEEE Int'l Conf. Image Process 1 (2001), 34-37.
-
(2001)
Proc. IEEE Int'l Conf. Image Process
, vol.1
, pp. 34-37
-
-
Chen, Y.1
Zhou, X.2
Huang, T.S.3
-
7
-
-
0033897023
-
The Bayesian image retrieval system, pichunter: Theory, implementation and psychophysical experiments
-
I.J. Cox, M.L. Miller, T.P. Minka, T.V. Papathomas, and P.N. Yianilos, The Bayesian image retrieval system, pichunter: Theory, implementation and psychophysical experiments, IEEE Trans Image Process 9 (2000), 20-37.
-
(2000)
IEEE Trans Image Process
, vol.9
, pp. 20-37
-
-
Cox, I.J.1
Miller, M.L.2
Minka, T.P.3
Papathomas, T.V.4
Yianilos, P.N.5
-
8
-
-
0041848442
-
Query expansion by mining user logs
-
H. Cui, J. Wen, J. Nie, and W. Ma, Query expansion by mining user logs, IEEE Trans Knowl Data Eng 15 (2003), 829-939.
-
(2003)
IEEE Trans Knowl Data Eng
, vol.15
, pp. 829-939
-
-
Cui, H.1
Wen, J.2
Nie, J.3
Ma, W.4
-
9
-
-
84989525001
-
Indexing by latent semantic analysis
-
S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer, and R. Harshman, Indexing by latent semantic analysis, J Am Soc Inform Sci 41 (1990), 391-407.
-
(1990)
J Am Soc Inform Sci
, vol.41
, pp. 391-407
-
-
Deerwester, S.1
Dumais, S.T.2
Furnas, G.W.3
Landauer, T.K.4
Harshman, R.5
-
10
-
-
0345414150
-
Active concept learning for image retrieval in dynamic databases
-
A. Dong and B. Bhanu, Active concept learning for image retrieval in dynamic databases, Proc IEEE Int'l Conf Computer Vision 1 (2003), 90-95.
-
(2003)
Proc IEEE Int'l Conf Computer Vision
, vol.1
, pp. 90-95
-
-
Dong, A.1
Bhanu, B.2
-
11
-
-
0036451675
-
Long-term Similarity learning in content-based image retrieval
-
J. Fournier and M. Cord, Long-term Similarity learning in content-based image retrieval, Proc. IEEE Int'l Conf. Image Process 1 (2002), 1441-1444.
-
(2002)
Proc. IEEE Int'l Conf. Image Process
, vol.1
, pp. 1441-1444
-
-
Fournier, J.1
Cord, M.2
-
12
-
-
0033895101
-
Pictoseek: Combining color and shape invariant features for image retrieval
-
T. Gevers and A. Smeulders, Pictoseek: Combining color and shape invariant features for image retrieval, IEEE Trans Image Process 9 (2000), 102-119.
-
(2000)
IEEE Trans Image Process
, vol.9
, pp. 102-119
-
-
Gevers, T.1
Smeulders, A.2
-
13
-
-
34748878048
-
Instance-Based Relevance Feedback for Image Retrieval
-
G. Giacinto and F. Roli, Instance-Based Relevance Feedback for Image Retrieval, Adv Neural Inform Process Syst (2004), 489-496.
-
(2004)
Adv Neural Inform Process Syst
, pp. 489-496
-
-
Giacinto, G.1
Roli, F.2
-
15
-
-
50249170638
-
Adaptive and efficient image retrieval with one-class support vector machines for inter-query learning, WSEAS Int'l Conf
-
I. Gondra and D.R. Heisterkamp, Adaptive and efficient image retrieval with one-class support vector machines for inter-query learning, WSEAS Int'l Conf. Applied Mathematics and Computer Science (2003), 27-29.
-
(2003)
Applied Mathematics and Computer Science
, pp. 27-29
-
-
Gondra, I.1
Heisterkamp, D.R.2
-
16
-
-
33749611063
-
Semantic kernel learning for interactive image retrieval, IEEE Int'l Conf
-
P.H. Gosselin and M. Cord, Semantic kernel learning for interactive image retrieval, IEEE Int'l Conf. Image Processing 1 (2005), 1177-1180.
-
(2005)
Image Processing
, vol.1
, pp. 1177-1180
-
-
Gosselin, P.H.1
Cord, M.2
-
17
-
-
17544373517
-
A memory learning framework for effective image retrieval
-
J. Han, K.N. Ngan, M. Li, and H-J Zhang, A memory learning framework for effective image retrieval, IEEE Trans Image Process 14 (2005), 511-524.
-
(2005)
IEEE Trans Image Process
, vol.14
, pp. 511-524
-
-
Han, J.1
Ngan, K.N.2
Li, M.3
Zhang, H.-J.4
-
18
-
-
13444266062
-
Incremental semi-supervised subspace learning for image retrieval
-
X. He, Incremental semi-supervised subspace learning for image retrieval, Proc. ACM Int'l Conf. Multimedia (2004), 2-8.
-
(2004)
Proc. ACM Int'l Conf. Multimedia
, pp. 2-8
-
-
He, X.1
-
19
-
-
0037287655
-
Learning a semantic space from user's relevance feedback for image retrieval
-
X. He, O. King, W. Ma, M. Li, and H. Zhang, Learning a semantic space from user's relevance feedback for image retrieval, IEEE Trans Circ Syst Video Tech 13 (2003), 39-48.
-
(2003)
IEEE Trans Circ Syst Video Tech
, vol.13
, pp. 39-48
-
-
He, X.1
King, O.2
Ma, W.3
Li, M.4
Zhang, H.5
-
20
-
-
13444283482
-
-
X. He, W.-Y, Ma, and H.-J. Zhang, learning an image manifold for retrieval, Proc. ACM Int'l Conf Multimedia (2004), 17-23.
-
(2004)
learning an image manifold for retrieval, Proc. ACM Int'l Conf Multimedia
, pp. 17-23
-
-
He, X.1
Ma, W.-Y.2
Zhang, H.-J.3
-
21
-
-
33845191548
-
Building a latent semantic index of an image database from patterns of relevance feedback
-
D.R. Heisterkamp, Building a latent semantic index of an image database from patterns of relevance feedback, Proc. Int'l Conf Pattern Recognition 4 (2002), 134-137.
-
(2002)
Proc. Int'l Conf Pattern Recognition
, vol.4
, pp. 134-137
-
-
Heisterkamp, D.R.1
-
22
-
-
33644650424
-
A unified log-based relevance feedback scheme for image retrieval
-
S.C.H. Hoi, M.R. Lyu, and R. Jin, A unified log-based relevance feedback scheme for image retrieval, IEEE Trans Knowl Data Eng 18 (2006), 509-524.
-
(2006)
IEEE Trans Knowl Data Eng
, vol.18
, pp. 509-524
-
-
Hoi, S.C.H.1
Lyu, M.R.2
Jin, R.3
-
23
-
-
27744513190
-
Relevance feedback using generalized bayesian framework with region-based optimization learning
-
C.-T. Hsu and C.-Y. Li, Relevance feedback using generalized bayesian framework with region-based optimization learning, IEEE Trans Image Process 14 (2005), 1617-1631.
-
(2005)
IEEE Trans Image Process
, vol.14
, pp. 1617-1631
-
-
Hsu, C.-T.1
Li, C.-Y.2
-
24
-
-
24044512614
-
Hidden Annotation for image retrieval with long-term relevance feedback learning
-
W. Jiang, G. Er, Q. Dai, and J. Gu, Hidden Annotation for image retrieval with long-term relevance feedback learning, Pat Recogn 38 (2005), 2007-2021.
-
(2005)
Pat Recogn
, vol.38
, pp. 2007-2021
-
-
Jiang, W.1
Er, G.2
Dai, Q.3
Gu, J.4
-
25
-
-
2542464171
-
Relevance feedback in region-based image retrieval
-
F. Jing, M. Li, H. Zhang, and B. Zhang, Relevance feedback in region-based image retrieval, IEEE Trans Circuits Syst Video Technol 14 (2004), 672-681.
-
(2004)
IEEE Trans Circuits Syst Video Technol
, vol.14
, pp. 672-681
-
-
Jing, F.1
Li, M.2
Zhang, H.3
Zhang, B.4
-
27
-
-
2542484652
-
Query feedback for interactive image retrieval
-
A. Kushki, P. Androutsos, K.N. Plataniotis, and A.N. Venetsanopoulos, Query feedback for interactive image retrieval, IEEE Trans Circ Syst Video Technol 14 (2004), 644-655.
-
(2004)
IEEE Trans Circ Syst Video Technol
, vol.14
, pp. 644-655
-
-
Kushki, A.1
Androutsos, P.2
Plataniotis, K.N.3
Venetsanopoulos, A.N.4
-
28
-
-
0034544567
-
-
J. Laaksonen, M. Koskela, S. Laakso, and E. Oja, PicSOM-content-based image retrieval with self-organizing maps, Pat Recogn Lett 21 (2000), 1199-1207.
-
(2000)
PicSOM-content-based image retrieval with self-organizing maps, Pat Recogn Lett
, vol.21
, pp. 1199-1207
-
-
Laaksonen, J.1
Koskela, M.2
Laakso, S.3
Oja, E.4
-
29
-
-
33750294755
-
Multitraining support vector machine for image retrieval
-
J. Li, N. Allinson, D. Tao, and X. Li, Multitraining support vector machine for image retrieval, IEEE Trans Image Process 15 (2006), 3597-3601.
-
(2006)
IEEE Trans Image Process
, vol.15
, pp. 3597-3601
-
-
Li, J.1
Allinson, N.2
Tao, D.3
Li, X.4
-
30
-
-
0042784817
-
Joint semantics and feature based image retrieval using relevance feedback
-
Y. Lu, H. Zhang, W. Liu, and C. Hu, Joint semantics and feature based image retrieval using relevance feedback, IEEE Trans Multimedia 5 (2003), 339-347.
-
(2003)
IEEE Trans Multimedia
, vol.5
, pp. 339-347
-
-
Lu, Y.1
Zhang, H.2
Liu, W.3
Hu, C.4
-
31
-
-
33745233505
-
A collaborative, long-term learning approach to using relevance feedback in content-based image retrieval systems
-
V. Nedovic and O. Marques, A collaborative, long-term learning approach to using relevance feedback in content-based image retrieval systems, Int'l Symposium ELMAR (2005), 143-146.
-
(2005)
Int'l Symposium ELMAR
, pp. 143-146
-
-
Nedovic, V.1
Marques, O.2
-
32
-
-
0027166611
-
Quering images by content using color, texture, and shape, Proc
-
The QBIC project
-
W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, and G. Taubin, The QBIC project: Quering images by content using color, texture, and shape, Proc SPIE Storage and Retrieval for Image and Video Databases (1993), 173-187.
-
(1993)
SPIE Storage and Retrieval for Image and Video Databases
, pp. 173-187
-
-
Niblack, W.1
Barber, R.2
Equitz, W.3
Flickner, M.4
Glasman, E.5
Petkovic, D.6
Yanker, P.7
Faloutsos, C.8
Taubin, G.9
-
33
-
-
0031387726
-
Supporting similarity queries in MARS
-
M. Ortega, Y. Rui, K. Chakrabarti, S. Mehrotra, and T. S. Huang, Supporting similarity queries in MARS, Proc ACM Int'l Conf. Multimedia (1997), 403-413.
-
(1997)
Proc ACM Int'l Conf. Multimedia
, pp. 403-413
-
-
Ortega, M.1
Rui, Y.2
Chakrabarti, K.3
Mehrotra, S.4
Huang, T.S.5
-
34
-
-
0004017473
-
-
PhD dissertation, Harvard Computational Lab, Harvard University, Cambridge, MA
-
J. J. Rocchio, Document retrieval system: Optimization and evaluation, PhD dissertation, Harvard Computational Lab, Harvard University, Cambridge, MA, 1966.
-
(1966)
Document retrieval system: Optimization and evaluation
-
-
Rocchio, J.J.1
-
35
-
-
0032166448
-
Relevance feedback: A power tool in interactive content-based image retrieval
-
Y. Rui, T. S. Huang, M. Ortega, and S. Mehrotra. Relevance feedback: A power tool in interactive content-based image retrieval, IEEE Trans Circuits Syst Video Technol 8 (1998), 644-655.
-
(1998)
IEEE Trans Circuits Syst Video Technol
, vol.8
, pp. 644-655
-
-
Rui, Y.1
Huang, T.S.2
Ortega, M.3
Mehrotra, S.4
-
36
-
-
50249184315
-
Associating low-level features with semantic concepts using video objects and relevance feedback
-
S. Sav, N. O'Connor, A. Smeaton, and N. Murphy, Associating low-level features with semantic concepts using video objects and relevance feedback, Int'l Workshop on Image Analysis for Multimedia Interactive Services, 2005.
-
(2005)
Int'l Workshop on Image Analysis for Multimedia Interactive Services
-
-
Sav, S.1
O'Connor, N.2
Smeaton, A.3
Murphy, N.4
-
37
-
-
0142169875
-
relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning
-
Z. Su, H. Zhang, S. Li, and S. Ma, relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces, and progressive learning, IEEE Trans Image Processing 12 (2003), 924-937.
-
(2003)
IEEE Trans Image Processing
, vol.12
, pp. 924-937
-
-
Su, Z.1
Zhang, H.2
Li, S.3
Ma, S.4
-
38
-
-
0034498523
-
Content-based image retrieval at the end of the early years
-
A. W.M. Smeulders, M. Worring, and S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Trans Pattern Anal Mach Intell 22 (2000), 1349-1380.
-
(2000)
IEEE Trans Pattern Anal Mach Intell
, vol.22
, pp. 1349-1380
-
-
Smeulders, A.W.M.1
Worring, M.2
Santini, S.3
Gupta, A.4
Jain, R.5
-
40
-
-
33746424489
-
Asymmetric bagging and random sub-space for support vector machines-based relevance feedback in image retrieval
-
D. Tao, X. Tang, X. Li, and X. Wu, Asymmetric bagging and random sub-space for support vector machines-based relevance feedback in image retrieval, IEEE Trans Pattern Analysis and Machine Intelligence 28 (2006), 1,088-1,099.
-
(2006)
IEEE Trans Pattern Analysis and Machine Intelligence
, vol.28
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
41
-
-
33746586210
-
Kernel direct biased discriminant analysis: A new content-based image retrieval relevance feedback algorithm
-
D. Tao, X. Tang, X. Li, and Y. Rui, Kernel direct biased discriminant analysis: A new content-based image retrieval relevance feedback algorithm, IEEE Trans Multimedia 8 (2006), 716-727.
-
(2006)
IEEE Trans Multimedia
, vol.8
, pp. 716-727
-
-
Tao, D.1
Tang, X.2
Li, X.3
Rui, Y.4
-
42
-
-
36148991603
-
Negative samples analysis in relevance feedback
-
D. Tao, X. Li, and S. J. Maybank, Negative samples analysis in relevance feedback, IEEE Trans Knowl Data Eng 19 (2007), 568-580.
-
(2007)
IEEE Trans Knowl Data Eng
, vol.19
, pp. 568-580
-
-
Tao, D.1
Li, X.2
Maybank, S.J.3
-
43
-
-
64149087441
-
Which components are important for interactive image searching?
-
D. Tao, X. Tang, and X. Li, Which components are important for interactive image searching? IEEE Trans Circ Syst Video Technol 18 (2008), 3-11.
-
(2008)
IEEE Trans Circ Syst Video Technol
, vol.18
, pp. 3-11
-
-
Tao, D.1
Tang, X.2
Li, X.3
-
44
-
-
58149411184
-
Features of similarity
-
A. Tversky, Features of similarity, Psychol Rev 84 (1977), 327-352.
-
(1977)
Psychol Rev
, vol.84
, pp. 327-352
-
-
Tversky, A.1
-
46
-
-
0035167516
-
Content-based retrieval from image databases: Current solutions and future directions
-
N. Vasconcelos and M. Kunt, Content-based retrieval from image databases: current solutions and future directions, Proc. IEEE Int'l Conf. Image Processing 3 (2001), 6-9.
-
(2001)
Proc. IEEE Int'l Conf. Image Processing
, vol.3
, pp. 6-9
-
-
Vasconcelos, N.1
Kunt, M.2
-
47
-
-
33947688145
-
A short-term and long-term learning approach for content-based image retrieval
-
M. Wacht, J. Shan, and X. Qi, A short-term and long-term learning approach for content-based image retrieval, Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing 2 (2006), 389-392.
-
(2006)
Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing
, vol.2
, pp. 389-392
-
-
Wacht, M.1
Shan, J.2
Qi, X.3
-
48
-
-
0035440673
-
SIMPLIcity: Semantics-sensitive integrated matching for picture libraries
-
J. Z. Wang, J. Li, and G. Wiederhold, SIMPLIcity: Semantics-sensitive integrated matching for picture libraries, IEEE Trans Pattern Anal Mach Intell 23 (2001), 947-963.
-
(2001)
IEEE Trans Pattern Anal Mach Intell
, vol.23
, pp. 947-963
-
-
Wang, J.Z.1
Li, J.2
Wiederhold, G.3
-
49
-
-
50249182602
-
A novel framework for SVM-based image retrieval on large databases
-
L. Wang, X. Li, P. Xue, and K. L. Chan, A novel framework for SVM-based image retrieval on large databases, Proc. ACM Int'l Conf. Multimedia (2005), 487-490.
-
(2005)
Proc. ACM Int'l Conf. Multimedia
, pp. 487-490
-
-
Wang, L.1
Li, X.2
Xue, P.3
Chan, K.L.4
-
50
-
-
4544264560
-
An efficient radial basis function network approach for content-based image retrieval
-
K. Wu and K.-H. Yap, An efficient radial basis function network approach for content-based image retrieval, Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing 3 (2004), 437-440.
-
(2004)
Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing
, vol.3
, pp. 437-440
-
-
Wu, K.1
Yap, K.-H.2
-
51
-
-
84908203156
-
Image retrieval and relevance feedback using peer indexing
-
J. Yang, Q. Li, and Y. Zhuang, Image retrieval and relevance feedback using peer indexing, Proc. IEEE Int'l Conf. Multimedia and Expo 2 (2002), 409-412.
-
(2002)
Proc. IEEE Int'l Conf. Multimedia and Expo
, vol.2
, pp. 409-412
-
-
Yang, J.1
Li, Q.2
Zhuang, Y.3
-
52
-
-
50249140418
-
Interactive content-based image retrieval in the peer-to-peer network using self-organizing maps
-
Z. Yang, Interactive content-based image retrieval in the peer-to-peer network using self-organizing maps, Proc. Semin Internetworking, 2005.
-
(2005)
Proc. Semin Internetworking
-
-
Yang, Z.1
-
53
-
-
27644480261
-
Integrating relevance feedback techniques for image retrieval using reinforcement learning
-
P.-Y. Yin, B. Bhanu, K.-C. Chang, and A. Dong, Integrating relevance feedback techniques for image retrieval using reinforcement learning, IEEE Trans Pattern Anal Mach Intell 27 (2005), 1536-1551.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, pp. 1536-1551
-
-
Yin, P.-Y.1
Bhanu, B.2
Chang, K.-C.3
Dong, A.4
-
55
-
-
0036930003
-
A relevance feedback method in image retrieval by analyzing feedback log file
-
X.-D. Zhou, L. Zhang, L. Liu, Q Zhang, and B. Shi, A relevance feedback method in image retrieval by analyzing feedback log file, Proc. Int'l Conf. Machine Learning and Cybernetics 3 (2002), 1,641-1,646.
-
(2002)
Proc. Int'l Conf. Machine Learning and Cybernetics
, vol.3
-
-
Zhou, X.-D.1
Zhang, L.2
Liu, L.3
Zhang, Q.4
Shi, B.5
-
58
-
-
0036449076
-
A graphic-theoretic model for incremental relevance feedback in image retrieval
-
Y. Zhuang, J. Yang, Q. Li, and Y. Pan, A graphic-theoretic model for incremental relevance feedback in image retrieval, Proc. Int'l Conf. Image Processing 1 (2002), 413-416.
-
(2002)
Proc. Int'l Conf. Image Processing
, vol.1
, pp. 413-416
-
-
Zhuang, Y.1
Yang, J.2
Li, Q.3
Pan, Y.4
|