-
1
-
-
0029375609
-
Query by image and video content: the qbic system
-
Flickner M., Sawhney H., Niblack W., Ashley J., Huang Q., Dom B., Gorkani M., Hafner J., Lee D., Petkovic D., Steele D., and Yanker P. Query by image and video content: the qbic system. Computer 28 9 (1995) 23-32
-
(1995)
Computer
, vol.28
, Issue.9
, pp. 23-32
-
-
Flickner, M.1
Sawhney, H.2
Niblack, W.3
Ashley, J.4
Huang, Q.5
Dom, B.6
Gorkani, M.7
Hafner, J.8
Lee, D.9
Petkovic, D.10
Steele, D.11
Yanker, P.12
-
2
-
-
84958757439
-
Multiple example queries in content-based image retrieval
-
Springer, London, UK
-
Tahaghoghi S.M.M., Thom J.A., and Williams H.E. Multiple example queries in content-based image retrieval. SPIRE 2002: Proceedings of the 9th International Symposium on String Processing and Information Retrieval (2002), Springer, London, UK 227-240
-
(2002)
SPIRE 2002: Proceedings of the 9th International Symposium on String Processing and Information Retrieval
, pp. 227-240
-
-
Tahaghoghi, S.M.M.1
Thom, J.A.2
Williams, H.E.3
-
4
-
-
0037708475
-
Relevance feedback for image retrieval: a comprehensive review
-
Zhou X., and Huang T. Relevance feedback for image retrieval: a comprehensive review. Multimedia systems 8 6 (2003) 536-544
-
(2003)
Multimedia systems
, vol.8
, Issue.6
, pp. 536-544
-
-
Zhou, X.1
Huang, T.2
-
5
-
-
34547283908
-
Image retrieval: Ideas, influences and trends of the new age
-
06-009, Penn State University
-
R. Datta, D. Joshi, J. Li, J.Z. Wang, Image retrieval: ideas, influences and trends of the new age, CSE Technical Report 06-009, Penn State University, 2006.
-
(2006)
CSE Technical Report
-
-
Datta, R.1
Joshi, D.2
Li, J.3
Wang, J.Z.4
-
7
-
-
0000970280
-
Mindreader: Querying databases through multiple examples
-
New York, USA
-
Y. Ishikawa, R. Subramanya, C. Faloutsos, Mindreader: querying databases through multiple examples, in: Proceedings of the 24th International Conference on Very Large Data Bases, VLDB, New York, USA, 1998, pp. 433-438.
-
(1998)
Proceedings of the 24th International Conference on Very Large Data Bases, VLDB
, pp. 433-438
-
-
Ishikawa, Y.1
Subramanya, R.2
Faloutsos, C.3
-
8
-
-
0032166448
-
Relevance feedback: a power tool for interactive content-based image retrieval
-
Rui Y., Huang S., Ortega M., and Mehrotra S. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transaction on Circuits and Video Technology 8 5 (1998) 644-655
-
(1998)
IEEE Transaction on Circuits and Video Technology
, vol.8
, Issue.5
, pp. 644-655
-
-
Rui, Y.1
Huang, S.2
Ortega, M.3
Mehrotra, S.4
-
9
-
-
0033334587
-
A relevance feedback mechanism for content-based image retrieval
-
Ciocca G., and Schettini R. A relevance feedback mechanism for content-based image retrieval. Information Processing and Management 35 1 (1999) 605-632
-
(1999)
Information Processing and Management
, vol.35
, Issue.1
, pp. 605-632
-
-
Ciocca, G.1
Schettini, R.2
-
10
-
-
0036650984
-
PicSOM: self-organizing image retrieval with MPEG-7 content descriptors
-
Laaksonen J., Koskela M., and Oja E. PicSOM: self-organizing image retrieval with MPEG-7 content descriptors. IEEE Transactions on Neural Networks 13 4 (2002) 841-853
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.4
, pp. 841-853
-
-
Laaksonen, J.1
Koskela, M.2
Oja, E.3
-
11
-
-
34249025710
-
Applying logistic regression to relevance feedback in image retrieval systems
-
León T., Zuccarello P., Ayala G., de Ves E., and Domingo J. Applying logistic regression to relevance feedback in image retrieval systems. Pattern Recognition 40 10 (2007) 2621-2632
-
(2007)
Pattern Recognition
, vol.40
, Issue.10
, pp. 2621-2632
-
-
León, T.1
Zuccarello, P.2
Ayala, G.3
de Ves, E.4
Domingo, J.5
-
12
-
-
0034792634
-
Support vector machine active learning for image retrieval
-
Ottawa, Canada
-
S. Tong, E. Chang, Support vector machine active learning for image retrieval, in: ACM Multimedia Conference, ACM Press, Ottawa, Canada, 2001, pp. 107-118.
-
(2001)
ACM Multimedia Conference, ACM Press
, pp. 107-118
-
-
Tong, S.1
Chang, E.2
-
14
-
-
0034792634
-
Support vector machine active learning for image retrieval
-
ACM Press, New York, NY, USA
-
Tong S., and Chang E. Support vector machine active learning for image retrieval. Proceedings of the 9th ACM International Conference on Multimedia (2001), ACM Press, New York, NY, USA 107-118
-
(2001)
Proceedings of the 9th ACM International Conference on Multimedia
, pp. 107-118
-
-
Tong, S.1
Chang, E.2
-
16
-
-
3142679461
-
Improving image retrieval performance by inter-query learning with one-class support vector machines
-
Gondra I., Heisterkamp R., and Peng J. Improving image retrieval performance by inter-query learning with one-class support vector machines. Neural Computing and Applications 13 2 (2004) 130-139
-
(2004)
Neural Computing and Applications
, vol.13
, Issue.2
, pp. 130-139
-
-
Gondra, I.1
Heisterkamp, R.2
Peng, J.3
-
17
-
-
10944244185
-
Biased support vector machine for relevance feedback in image retrieval
-
Budapest, Hungary
-
C.-H. Hoi, C.-H. Chan, K. Huang, M. R. Lyu, I. King, Biased support vector machine for relevance feedback in image retrieval, in: Proceedings of International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, 2004, pp. 3189-3194.
-
(2004)
Proceedings of International Joint Conference on Neural Networks (IJCNN2004)
, pp. 3189-3194
-
-
Hoi, C.-H.1
Chan, C.-H.2
Huang, K.3
Lyu, M.R.4
King, I.5
-
18
-
-
33746424489
-
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
-
Tao D., Tang X., Li X., and Wu X. Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 7 (2006) 1088-1099
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.7
, pp. 1088-1099
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
20
-
-
10044271843
-
Nonparametric discriminant analysis in relevance feedback for content-based image retrieval
-
ICPR
-
D. Tao, X. Tang, Nonparametric discriminant analysis in relevance feedback for content-based image retrieval, in: Proceedings of the 17th International Conference on Pattern Recognition (ICPR), vol. 2, 2004, pp. 1013-1016.
-
(2004)
Proceedings of the 17th International Conference on Pattern Recognition
, vol.2
, pp. 1013-1016
-
-
Tao, D.1
Tang, X.2
-
21
-
-
24144495321
-
Clue: cluster-based retrieval of images by unsupervised learning
-
Chen Y., Wang J., and Krovetz R. Clue: cluster-based retrieval of images by unsupervised learning. IEEE Transactions on Image Processing 14 8 (2005) 1187-1201
-
(2005)
IEEE Transactions on Image Processing
, vol.14
, Issue.8
, pp. 1187-1201
-
-
Chen, Y.1
Wang, J.2
Krovetz, R.3
-
22
-
-
0036604999
-
Dissimilarity representations allow for building good classifiers
-
Pekalska E., and Duin R.P.W. Dissimilarity representations allow for building good classifiers. Pattern Recognition Letters 23 8 (2002) 943-956
-
(2002)
Pattern Recognition Letters
, vol.23
, Issue.8
, pp. 943-956
-
-
Pekalska, E.1
Duin, R.P.W.2
-
23
-
-
48649105859
-
A relevance feedback CBIR algorithm based on fuzzy sets
-
Arevalillo-Herráez M., Zacarés M., Benavent X., and de Ves E. A relevance feedback CBIR algorithm based on fuzzy sets. Signal Processing: Image Communication 23 7 (2008) 490-504
-
(2008)
Signal Processing: Image Communication
, vol.23
, Issue.7
, pp. 490-504
-
-
Arevalillo-Herráez, M.1
Zacarés, M.2
Benavent, X.3
de Ves, E.4
-
24
-
-
0033897023
-
The Bayesian image retrieval system PicHunter: theory implementation and psychophysical experiments
-
Cox I., Miller M., Minka T., Papathomas T.V., and Yianilos P. The Bayesian image retrieval system PicHunter: theory implementation and psychophysical experiments. IEEE Transaction on Image Processing 9 1 (2000) 20-37
-
(2000)
IEEE Transaction on Image Processing
, vol.9
, Issue.1
, pp. 20-37
-
-
Cox, I.1
Miller, M.2
Minka, T.3
Papathomas, T.V.4
Yianilos, P.5
-
25
-
-
33744997452
-
A novel Bayesian framework for relevance feedback in image content-based retrieval systems
-
de Ves E., Domingo J., Ayala G., and Zuccarello P. A novel Bayesian framework for relevance feedback in image content-based retrieval systems. Pattern Recognition 39 (2006) 1622-1632
-
(2006)
Pattern Recognition
, vol.39
, pp. 1622-1632
-
-
de Ves, E.1
Domingo, J.2
Ayala, G.3
Zuccarello, P.4
-
26
-
-
70449710129
-
Bayesian models for massive multimedia databases: a new frontier
-
Freitas N.D., Brochu E., Barnard K., Duygulu P., and Forsyth D. Bayesian models for massive multimedia databases: a new frontier. 7th Valencia International ISBA Meeting on Bayesian Statistics (2002) 1-12
-
(2002)
7th Valencia International ISBA Meeting on Bayesian Statistics
, pp. 1-12
-
-
Freitas, N.D.1
Brochu, E.2
Barnard, K.3
Duygulu, P.4
Forsyth, D.5
-
28
-
-
0142169875
-
Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces and progressive learning
-
Su Z., Zhang H., Li S., and Ma S. Relevance feedback in content-based image retrieval: Bayesian framework, feature subspaces and progressive learning. IEEE Transactions Image Processing 12 (2003) 924-937
-
(2003)
IEEE Transactions Image Processing
, vol.12
, pp. 924-937
-
-
Su, Z.1
Zhang, H.2
Li, S.3
Ma, S.4
-
29
-
-
33751572869
-
Combining structure, color and texture for image retrieval: a performance evaluation
-
Iqbal Q., and Aggarwal J. Combining structure, color and texture for image retrieval: a performance evaluation. 16th International Conference on Pattern Recognition (ICPR), Quebec, City, QC, Canada (2002) 438-443
-
(2002)
16th International Conference on Pattern Recognition (ICPR), Quebec, City, QC, Canada
, pp. 438-443
-
-
Iqbal, Q.1
Aggarwal, J.2
-
30
-
-
10044232632
-
Nearest-prototype relevance feedback for content based image retrieval
-
IEEE Computer Society, Washington, DC, USA
-
Giacinto G., and Roli F. Nearest-prototype relevance feedback for content based image retrieval. ICPR '04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) vol. 2 (2004), IEEE Computer Society, Washington, DC, USA 989-992
-
(2004)
ICPR '04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04)
, vol.2
, pp. 989-992
-
-
Giacinto, G.1
Roli, F.2
-
31
-
-
33947629191
-
Optimizing metrics combining low-level visual descriptors for image annotation and retrieval
-
Zhang Q., and Izquierdo E. Optimizing metrics combining low-level visual descriptors for image annotation and retrieval. Proceeding of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 06), Toulouse, France (2006) 405-408
-
(2006)
Proceeding of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 06), Toulouse, France
, pp. 405-408
-
-
Zhang, Q.1
Izquierdo, E.2
-
32
-
-
33745779515
-
A new framework to combine descriptors for content-based image retrieval
-
Torres R.d.S., Falcao A.X., Goncalves M.A., Zhang B., Fan W., Fox E.A., and Calado P. A new framework to combine descriptors for content-based image retrieval. 14th Conference on Information and Knowledge Management, Bremen, Germany (2005) 335-336
-
(2005)
14th Conference on Information and Knowledge Management, Bremen, Germany
, pp. 335-336
-
-
Torres, R.d.S.1
Falcao, A.X.2
Goncalves, M.A.3
Zhang, B.4
Fan, W.5
Fox, E.A.6
Calado, P.7
-
35
-
-
0031348906
-
Measuring texture classification algorithms
-
Smith G., and Burns I. Measuring texture classification algorithms. Pattern Recognition Letters 18 14 (1997) 1495-1501
-
(1997)
Pattern Recognition Letters
, vol.18
, Issue.14
, pp. 1495-1501
-
-
Smith, G.1
Burns, I.2
-
36
-
-
0021385988
-
Segmentation of a high-resolution urban scene using texture operators
-
Conners R.W., Trivedi M.M., and Harlow C.A. Segmentation of a high-resolution urban scene using texture operators. Computer Vision, Graphics, and Image Processing 25 3 (1984) 273-310
-
(1984)
Computer Vision, Graphics, and Image Processing
, vol.25
, Issue.3
, pp. 273-310
-
-
Conners, R.W.1
Trivedi, M.M.2
Harlow, C.A.3
-
38
-
-
0028493892
-
Gray-scale morphological granulometric texture classification
-
Chen Y., and Dougherty E. Gray-scale morphological granulometric texture classification. Optical Engineering 33 8 (1994) 2713-2722
-
(1994)
Optical Engineering
, vol.33
, Issue.8
, pp. 2713-2722
-
-
Chen, Y.1
Dougherty, E.2
-
42
-
-
0035308430
-
Performance evaluation in content-based image retrieval: overview and proposals
-
Müller H., Müller W., Squire D.M., Marchand-Maillet S., and Pun T. Performance evaluation in content-based image retrieval: overview and proposals. Pattern Recognition Letters 22 5 (2001) 593-601
-
(2001)
Pattern Recognition Letters
, vol.22
, Issue.5
, pp. 593-601
-
-
Müller, H.1
Müller, W.2
Squire, D.M.3
Marchand-Maillet, S.4
Pun, T.5
-
43
-
-
0035427459
-
Content-based similarity retrieval of trademarks using relevance feedback
-
Ciocca G., and Schettini R. Content-based similarity retrieval of trademarks using relevance feedback. Pattern Recognition 34 8 (2001) 1639-1655
-
(2001)
Pattern Recognition
, vol.34
, Issue.8
, pp. 1639-1655
-
-
Ciocca, G.1
Schettini, R.2
-
44
-
-
70449728683
-
-
N. Gunther, G. Beretta, A benchmark for image retrieval using distributed systems over the internet: Birds-I, HPL Technical Report HPL-2000-162, HP Labs, Palo Alto, San Jose, USA, 2001.
-
N. Gunther, G. Beretta, A benchmark for image retrieval using distributed systems over the internet: Birds-I, HPL Technical Report HPL-2000-162, HP Labs, Palo Alto, San Jose, USA, 2001.
-
-
-
|