20.4.3.3.16 User Feedback, Learning in the Query, Relevance Feedback

Chapter Contents (Back)
Image Database. Query Methods. Feedback. This should concentrate more on the learning aspects of the feedback system.
See also User Feedback, Video Indexing, Video Retrieval, Relevance Feedback.

Celentano, A., di Sciascio, E.,
Feature Integration and Relevance Feedback Analysis in Image Similarity Evaluation,
JEI(7), No. 2, April 1998, pp. 308-317. 9807
BibRef

Peng, J.[Jing], Bhanu, B.[Bir], Qing, S.[Shan],
Probabilistic Feature Relevance Learning for Content-Based Image Retrieval,
CVIU(75), No. 1/2, July-August 1999, pp. 150-164.
DOI Link BibRef 9907
Earlier: A2, A1, A3:
Learning feature relevance and similarity metrics in image databases,
CBAIVL98(14-18).
IEEE Top Reference. 0208
BibRef
Earlier: A2, A3, A1:
Learning integrated online indexing for image databases,
ICIP98(II: 789-793).
IEEE DOI 9810

See also Independent feature analysis for image retrieval. BibRef

Peng, J.[Jing],
Multi-class relevance feedback content-based image retrieval,
CVIU(90), No. 1, April 2003, pp. 42-67.
Elsevier DOI 0306
BibRef

Feng, L.[Linan], Bhanu, B.[Bir], Heraty, J.[John],
A software system for automated identification and retrieval of moth images based on wing attributes,
PR(51), No. 1, 2016, pp. 225-241.
Elsevier DOI 1601
BibRef
Earlier: A1, A2, Only:
Automated identification and retrieval of moth images with semantically related visual attributes on the wings,
ICIP13(2577-2581)
IEEE DOI 1412
BibRef
Earlier: A1, A2, Only:
Utilizing co-occurrence patterns for semantic concept detection in images,
ICPR12(2918-2921).
WWW Link. 1302
BibRef
Earlier: A1, A2, Only:
Semantic-visual concept relatedness and co-occurrences for image retrieval,
ICIP12(2429-2432).
IEEE DOI 1302
Entomological image identification and retrieval BibRef

Feng, L.[Linan], Bhanu, B.[Bir],
Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval,
PAMI(38), No. 4, April 2016, pp. 785-799.
IEEE DOI 1603
Analytical models BibRef

Heisterkamp, D.R.[Douglas R.], Peng, J.[Jing], Dai, H.K.,
Adaptive Quasiconformal Kernel Metric for Image Retrieval,
CVPR01(II:388-393).
IEEE DOI 0110
BibRef
Earlier:
Feature Relevance Learning with Query Shifting for Content-based Image Retrieval,
ICPR00(Vol IV: 250-253).
IEEE DOI 0009
BibRef

Peng, J.[Jing], Heisterkamp, D.R.,
Kernel indextng for relevance feedback image retrieval,
ICIP03(I: 733-736).
IEEE DOI 0312
BibRef

Heisterkamp, D.R.,
Building a latent semantic index of an image database from patterns of relevance feedback,
ICPR02(IV: 134-137).
IEEE DOI 0211
BibRef

Ko, B.C.[Byoung-Chul], Peng, J.[Jing], Byun, H.R.[Hye-Ran],
Region-based Image Retrieval Using Probabilistic Feature Relevance Learning,
PAA(4), No. 2/3 2001, pp. 174-184.
Springer DOI 0202
BibRef

Ko, B.C.[Byoung-Chul], Byun, H.R.[Hye-Ran],
Probabilistic neural networks supporting multi-class relevance feedback in region-based image retrieval,
ICPR02(IV: 138-141).
IEEE DOI 0211
BibRef
And:
Integrated region-based image retrieval using region's spatial relationships,
ICPR02(I: 196-199).
IEEE DOI 0211
BibRef
And:
Multiple Regions and Their Spatial Relationship-Based Image Retrieval,
CIVR02(81-90).
Springer DOI 0208
BibRef

Ko, B.C., Lee, H.S., Byun, H.R.,
Region-based Image Retrieval System Using Efficient Feature Description,
ICPR00(Vol IV: 283-286).
IEEE DOI 0009
BibRef

Laaksonen, J.T.[Jorma T.], Koskela, J.M.[J. Markus], Laakso, S.[Sami], Oja, E.[Erkki],
PicSOM: Content-Based Image Retrieval with Self-Organizing Maps,
PRL(21), No. 13-14, December 2000, pp. 1199-1207. 0011
BibRef
Earlier: A1, A2, A4, Only:
PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps,
SCIA99(Image Databases).
See also Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps. BibRef

Sjöberg, M.[Mats], Koskela, J.M.[J. Markus], Viitaniemi, V.[Ville], Laaksonen, J.T.[Jorma T.],
PicSOM Experiments in ImageCLEF RobotVision,
ICPR-Contests10(190-199).
Springer DOI 1008
BibRef

Koskela, J.M.[J. Markus], Laaksonen, J.T.[Jorma T.],
Semantic Annotation of Image Groups with Self-organizing Maps,
CIVR05(518-527).
Springer DOI 0507
BibRef

Koskela, J.M.[J. Markus], Laaksonen, J.T.[Jorma T.], Oja, E.[Erkki],
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps,
CIVR04(508-516).
Springer DOI 0505
BibRef
And:
Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval,
ICPR04(II: 1005-1008).
IEEE DOI 0409
BibRef
Earlier:
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps,
ICPR02(II: 1049-1052).
IEEE DOI 0211
BibRef

Sjöberg, M.[Mats], Laaksonen, J.T.[Jorma T.], Viitaniemi, V.[Ville],
Using Image Segments in PicSOM CBIR System,
SCIA03(1106-1113).
Springer DOI 0310
BibRef

Laaksonen, J.T.[Jorma T.], Koskela, J.M.[J. Markus], Laakso, S.[Sami], Oja, E.[Erkki],
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval,
PAA(4), No. 2/3 2001, pp. 140-152.
Springer DOI 0202
BibRef

Sjoberg, M.[Mats], Koskela, J.M.[J. Markus], Ishikawa, S.[Satoru], Laaksonen, J.[Jorma],
Real-time large-scale visual concept detection with linear classifiers,
ICPR12(421-424).
WWW Link. 1302
BibRef

Koskela, J.M.[J. Markus], Sjöberg, M.[Mats], Laaksonen, J.T.[Jorma T.],
Improving Automatic Video Retrieval with Semantic Concept Detection,
SCIA09(480-489).
Springer DOI 0906
BibRef

Abou-Moustafa, K.T.[Karim T.], Shah, M.[Mohak], de la Torre, F.[Fernando], Ferrie, F.P.[Frank P.],
Relaxed Exponential Kernels for Unsupervised Learning,
DAGM11(184-195).
Springer DOI 1109
BibRef

Abou-Moustafa, K.T.[Karim T.], Ferrie, F.P.[Frank P.],
Modified Divergences for Gaussian Densities,
SSSPR12(426-436).
Springer DOI 1211
BibRef

Abou-Moustafa, K.T.[Karim T.], Ferrie, F.P.[Frank P.],
Fast and regularized local metric for query-based operations,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Local Metric Learning on Manifolds with Application to Query-Based Operations,
SSPR08(862-873).
Springer DOI 0812
BibRef

Wang, L.[Lei], Chan, K.L.[Kap Luk], Xiong, X.J.[Xue-Jian],
A Sub-vector Weighting Scheme For Image Retrieval With Relevance Feedback,
IJIG(2), No. 2, April 2002, pp. 199-213. 0204
BibRef

Wang, L.[Lei], Gao, Y.[Yan], Chan, K.L.[Kap Luk], Xue, P.[Ping], Yau, W.Y.[Wei-Yun],
Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback,
ICCV05(II: 1355-1362).
IEEE DOI 0510
BibRef

Zhou, X.D.[Xiang-Dong], Zhang, Q.[Qi], Liu, L.[Li], Zhang, L.[Liang], Shi, B.[Baile],
An image retrieval method based on analysis of feedback sequence log,
PRL(24), No. 14, October 2003, pp. 2499-2508.
Elsevier DOI 0307
BibRef

Zhou, X.D.[Xiang-Dong], Wang, M.[Mei], Zhang, Q.[Qi], Zhang, J.Q.[Jun-Qi], Shi, B.[Baile],
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching,
CIVR07(25-32).
DOI Link 0707
BibRef

Zhou, X.D.[Xiang-Dong], Chen, L.[Lian], Ye, J.Y.[Jian-Ye], Zhang, Q.[Qi], Shi, B.[Baile],
Automatic Image Semantic Annotation Based on Image-Keyword Document Model,
CIVR05(184-193).
Springer DOI 0507
BibRef

Kwak, J.W.[Jung Won], Cho, N.I.[Nam Ik],
Relevance feedback in content-based image retrieval system by selective region growing in the feature space,
SP:IC(18), No. 9, October 2003, pp. 787-799.
Elsevier DOI 0310
BibRef

Kherfi, M.L., Ziou, D., Bernardi, A.,
Combining positive and negative examples in relevance feedback for content-based image retrieval,
JVCIR(14), No. 4, December 2003, pp. 428-457.
Elsevier DOI 0401
BibRef
Earlier:
Learning from negative example in relevance feedback for content-based image retrieval,
ICPR02(II: 933-936).
IEEE DOI 0211
BibRef

Kherfi, M.L., Brahmi, D., Ziou, D.,
Combining visual features with semantics for a more effective image retrieval,
ICPR04(II: 961-964).
IEEE DOI 0409
BibRef
And: A2, A3, Only:
Improving CBIR systems by integrating semantic features,
CRV04(233-240).
IEEE DOI 0408
BibRef

Kherfi, M.L., Ziou, D., Bernardi, A.,
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems,
Surveys(36), No. 1, March 2004, pp. 35-67.
WWW Link. 0805
Survey, Image Retrieval. BibRef

Kherfi, M.L., Ziou, D.,
Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval,
MultMed(9), No. 4, 2007, pp. 893-900.
IEEE DOI 0905
BibRef

Kherfi, M.L., Ziou, D.,
Relevance feedback for CBIR: a new approach based on probabilistic feature weighting with positive and negative examples,
IP(15), No. 4, April 2006, pp. 1017-1030.
IEEE DOI 0604
BibRef
Earlier:
Image retrieval based on feature weighting and relevance feedback,
ICIP04(I: 689-692).
IEEE DOI 0505
BibRef

Müller, H.[Henning], Pun, T.[Thierry], Squire, D.M.[David M.],
Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis,
IJCV(56), No. 1-2, January-February 2004, pp. 65-77.
DOI Link 0401
BibRef

Giacinto, G.[Giorgio], Roli, F.[Fabio],
Bayesian relevance feedback for content-based image retrieval,
PR(37), No. 7, July 2004, pp. 1499-1508.
Elsevier DOI 0405
BibRef
And:
Nearest-prototype relevance feedback for content based image retrieval,
ICPR04(II: 989-992).
IEEE DOI 0409
BibRef

Giacinto, G.[Giorgio],
A nearest-neighbor approach to relevance feedback in content based image retrieval,
CIVR07(456-463).
DOI Link 0707
BibRef

Giacinto, G., Roli, F., Fumera, G.,
Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval,
CIAP01(422-427).
IEEE DOI 0210
BibRef

Ghebreab, S., Jaffe, C.C., Smeulders, A.W.M.,
Population-Based Incremental Interactive Concept Learning for Image Retrieval by Stochastic String Segmentations,
MedImg(23), No. 6, June 2004, pp. 676-689.
IEEE Abstract. 0406
BibRef

Dong, A.[Anlei], Bhanu, B.,
Active Concept Learning in Image Databases,
SMC-B(35), No. 3, June 2005, pp. 450-466.
IEEE DOI 0508
BibRef
Earlier:
On Labeling Noise and Outliers for Robust Concept Learning for Image Databases,
LCV04(94).
IEEE DOI 0406
BibRef
Earlier:
Active concept learning for image retrieval in dynamic databases,
ICCV03(90-95).
IEEE DOI 0311
BibRef

Dong, A.[Anlei], Bhanu, B.,
Discriminant features for model-based image databases,
ICPR04(II: 997-1000).
IEEE DOI 0409
BibRef
Earlier:
A new semi-supervised EM algorithm for image retrieval,
CVPR03(II: 662-667).
IEEE DOI 0307
BibRef

Bhanu, B.[Bir], Dong, A.[Anlei],
Exploitation of Meta Knowledge for Learning Visual Concepts,
CBAIVL01(81).
IEEE DOI 0110
BibRef

Dong, A.[Anlei], Bhanu, B.[Bir], Lin, Y.Q.[Ying-Qiang],
Evolutionary Feature Synthesis for Image Databases,
WACV05(I: 330-335).
IEEE DOI 0502
BibRef

Yin, P.Y.[Peng-Yeng], Bhanu, B., Chang, K.C.[Kuang-Cheng], Dong, A.[Anlei],
Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning,
PAMI(27), No. 10, October 2005, pp. 1536-1551.
IEEE DOI 0509
BibRef
Earlier:
Reinforcement learning for combining relevance feedback techniques,
ICCV03(510-515).
IEEE DOI 0311
BibRef
Earlier:
Improving retrieval performance by long-term relevance information,
ICPR02(III: 533-536).
IEEE DOI 0211
BibRef

Yin, P.Y.[Peng-Yeng], Li, S.H.[Shin-Huei],
Content-based image retrieval using association rule mining with soft relevance feedback,
JVCIR(17), No. 5, October 2006, pp. 1108-1125.
Elsevier DOI 0711
Association rules; Confidence quantization; Content-based image retrieval; Redundancy detection; Soft relevance feedback BibRef

Chen, Y.X.[Yi-Xin], Wang, J.Z., Krovetz, R.,
CLUE: cluster-based retrieval of images by unsupervised learning,
IP(14), No. 8, August 2005, pp. 1187-1201.
IEEE DOI 0508
BibRef

Jiang, W.[Wei], Er, G.H.[Gui-Hua], Dai, Q.H.[Qiong-Hai], Gu, J.W.[Jin-Wei],
Hidden annotation for image retrieval with long-term relevance feedback learning,
PR(38), No. 11, November 2005, pp. 2007-2021.
Elsevier DOI 0509
BibRef
Earlier: A1, A2, A3, Only:
Multi-layer semantic representation learning for image retrieval,
ICIP04(IV: 2215-2218).
IEEE DOI 0505
BibRef

Lu, K.[Ke], He, X.F.[Xiao-Fei],
Image retrieval based on incremental subspace learning,
PR(38), No. 11, November 2005, pp. 2047-2054.
Elsevier DOI 0509
BibRef

He, X.F.[Xiao-Fei], Cai, D.[Deng],
Active subspace learning,
ICCV09(911-916).
IEEE DOI 0909
More than just initial training. Retrieval feedback. BibRef

Souvannavong, F., Merialdo, B., Huet, B.,
Partition Sampling: An Active Learning Selection Strategy for Large Database Annotation,
VISP(152), No. 3, June 2005, pp. 347-355.
DOI Link 0510
BibRef

Hsu, C.T.[Chiou-Ting], Li, C.Y.[Chuech-Yu],
Relevance feedback using generalized Bayesian framework with region-based optimization learning,
IP(14), No. 10, October 2005, pp. 1617-1631.
IEEE DOI 0510
BibRef
Earlier: A2, A1:
Region correspondence for image retrieval using graph-theoretic approach and maximum likelihood estimation,
ICIP04(I: 421-424).
IEEE DOI 0505
BibRef

Li, C.Y.[Chueh-Yu], Hsu, C.T.[Chiou-Ting],
Image Retrieval With Relevance Feedback Based on Graph-Theoretic Region Correspondence Estimation,
MultMed(10), No. 3, April 2008, pp. 447-456.
IEEE DOI 0905
BibRef
Earlier: Add A2: Shih, M.C.[Ming-Chou], ICPR04(III: 842-845).
IEEE DOI 0409
BibRef

Chiou, W.C.[Wan-Chien], Hsu, C.T.[Chiou-Ting],
Region-Based Color Transfer from Multi-Reference with Graph-Theoretic Region Correspondence Estimation,
ICIP09(501-504).
IEEE DOI 0911
BibRef

Zhou, Q.A.[Qi-Ang], Ma, L.M.[Li-Min], Chelberg, D.[David],
Adaptive object detection and recognition based on a feedback strategy,
IVC(24), No. 1, 1 January 2006, pp. 80-93.
Elsevier DOI 0602
BibRef

Zhang, R.F.[Ruo-Fei], Zhang, Z.F.M.[Zhong-Fei Mark],
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval,
IVC(24), No. 3, 1 March 2006, pp. 211-223.
Elsevier DOI 0604
BibRef
Earlier:
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval,
ECCV04(Vol III: 355-367).
Springer DOI 0405
BibRef
And:
A bayesian framework for automatic concept discovery in image collections,
ICPR04(II: 973-976).
IEEE DOI 0409
CBIR; Relevance feedback; Bayesian learning; Relevancy confidence; Session semantic distance
See also Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. BibRef

Lu, K.[Ke], Zhao, J.D.[Ji-Dong], Cai, D.[Deng],
An algorithm for semi-supervised learning in image retrieval,
PR(39), No. 4, April 2006, pp. 717-720.
Elsevier DOI Semi-supervised learning; Locality preserving projections; Support vector machine; Image retrieval 0604
BibRef

Lu, K.[Ke], Zhao, J.D.[Ji-Dong], Wu, Y.[Yue],
Hessian optimal design for image retrieval,
PR(44), No. 6, June 2011, pp. 1155-1161.
Elsevier DOI 1102
Active learning; Regularization; Image retrieval BibRef

Li, J.[Jing], Allinson, N.M.[Nigel M.],
Long-Term Learning in Content-Based Image Retrieval,
IJIST(18), No. 2-3, 2007, pp. 160-169.
DOI Link 0804
BibRef

de Ves, E.[Esther], Domingo, J., Ayala, G.[Guillermo], Zuccarello, P.[Pedro],
A novel Bayesian framework for relevance feedback in image content-based retrieval systems,
PR(39), No. 9, September 2006, pp. 1622-1632.
Elsevier DOI 0606
Low level image descriptors; User preferences modeling BibRef

Leon, T., Zuccarello, P.[Pedro], Ayala, G.[Guillermo], de Ves, E.[Esther], Domingo, J.,
Applying logistic regression to relevance feedback in image retrieval systems,
PR(40), No. 10, October 2007, pp. 2621-2632.
Elsevier DOI 0707
Visual information retrieval; Low-level image descriptors; Content-based image retrieval systems; Logistic regression BibRef

de Ves, E.[Esther], Zuccarello, P.[Pedro], Leon, T.[Teresa], Ayala, G.[Guillermo],
IOWA Operators and Its Application to Image Retrieval,
SSSPR14(353-363).
Springer DOI 1408
BibRef

Dorado, A., Djordjevic, D., Pedrycz, W.[Witold], Izquierdo, E.[Ebroul],
Efficient image selection for concept learning,
VISP(153), No. 3, June 2006, pp. 263-273.
DOI Link 0608
BibRef

Zhang, H.Y.[Hong-Yun], Zhang, T.[Ting], Pedrycz, W.[Witold], Zhao, C.R.[Cai-Rong], Miao, D.Q.[Duo-Qian],
Improved adaptive image retrieval with the use of shadowed sets,
PR(90), 2019, pp. 390-403.
Elsevier DOI 1903
Shadowed sets, Saliency detection, Image retrieval, Image segmentation, Edge detection BibRef

Djordjevic, D., Izquierdo, E.,
An Object- and User-Driven System for Semantic-Based Image Annotation and Retrieval,
CirSysVideo(17), No. 3, March 2007, pp. 313-323.
IEEE DOI 0703
BibRef

Grira, N., Crucianu, M., Boujemaa, N.,
Fuzzy clustering with pairwise constraints for knowledge-driven image categorisation,
VISP(153), No. 3, June 2006, pp. 299-304.
DOI Link 0608
BibRef
Earlier:
Semi-Supervised Image Database Categorization Using Pairwise Constraints,
ICIP05(III: 1228-1231).
IEEE DOI 0512
BibRef

Liang, D., Yang, J., Chang, Y.,
Relevance feedback based on non-negative matrix factorisation for image retrieval,
VISP(153), No. 4, August 2006, pp. 436-444.
WWW Link. 0705
BibRef

Ferecatu, M.[Marin], Boujemaa, N.[Nozha],
Interactive Remote-Sensing Image Retrieval Using Active Relevance Feedback,
GeoRS(45), No. 4, April 2007, pp. 818-826.
IEEE DOI 0704
BibRef

Ferecatu, M., Crucianu, M., Boujemaa, N.,
Improving Performance of Interactive Categorization of Images Using Relevance Feedback,
ICIP05(I: 1197-1200).
IEEE DOI 0512
BibRef

Ferecatu, M.[Marin], Geman, D.[Donald],
A Statistical Framework for Image Category Search from a Mental Picture,
PAMI(31), No. 6, June 2009, pp. 1087-1101.
IEEE DOI 0904
BibRef
Earlier:
Interactive Search for Image Categories by Mental Matching,
ICCV07(1-8).
IEEE DOI 0710
How to get the first image to use in similar image search. Search session starts from random sample of images. The user selects the one that is best for whatever the search is. BibRef

Houissa, H.[Hichem], Boujemaa, N.[Nozha],
A New Angle-Based Spatial Modeling for Query by Visual Thesaurus Composition,
ICIP07(IV: 553-556).
IEEE DOI 0709
BibRef

Houissa, H., Boujemaa, N.[Nozha],
On the Use of Metrics for Multi-Dimensional Descriptors Clustering,
ICIP06(153-156).
IEEE DOI 0610
BibRef

Chang, F.C.[Feng-Cheng], Hang, H.M.[Hsueh-Ming],
A Relevance Feedback Image Retrieval Scheme Using Multi-Instance and Pseudo Image Concepts,
IEICE(E89-D), No. 5, May 2006, pp. 1720-1731.
DOI Link 0605
BibRef

Cheng, J.[Jian], Wang, K.Q.[Kong-Qiao],
Active learning for image retrieval with Co-SVM,
PR(40), No. 1, January 2007, pp. 330-334.
Elsevier DOI 0611
BibRef
Earlier:
Multi-View Sampling for Relevance Feedback in Image Retrieval,
ICPR06(II: 881-884).
IEEE DOI 0609
Active learning; Image retrieval; Relevance feedback; Support vector machines; Selective sampling BibRef

Pang, Y.W.[Yan-Wei], Zhang, K.[Kun], Yuan, Y.[Yuan], Wang, K.Q.[Kong-Qiao],
Distributed Object Detection With Linear SVMs,
Cyber(44), No. 11, November 2014, pp. 2122-2133.
IEEE DOI 1411
computational complexity BibRef

Saha, S.K.[Sanjoy K.], Das, A.K.[Amit K.], Chanda, B.[Bhabatosh],
Image retrieval based on indexing and relevance feedback,
PRL(28), No. 3, 1 February 2007, pp. 357-366.
Elsevier DOI 0701
BibRef
And:
CBIR using perception based texture and colour measures,
ICPR04(II: 985-988).
IEEE DOI 0409
CBIR; Similarity measure; Human perception based similarity measure; Multidimensional indexing; Relevance feedback; Mann-Whitney test BibRef

Saadatmand-Tarzjan, M., Abrishami Moghaddam, H.,
A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms,
SMC-B(37), No. 1, February 2007, pp. 139-153.
IEEE DOI 0703
BibRef

Ghassabeh, Y.A.[Youness Aliyari], Abrishami Moghaddam, H.[Hamid],
A New Incremental Optimal Feature Extraction Method for On-Line Applications,
ICIAR07(399-410).
Springer DOI 0708
BibRef

Nikzad, M., Abrishami Moghaddam, H.,
An incremental evolutionary learning method for optimizing content-based image indexing algorithms,
MultInfoRetr(3), No. 1, March 2014, pp. 41-52.
WWW Link. 1403
BibRef

Shen, X.J.[Xiang-Jun], Ju, S.G.[Shi-Guang], Cho, S.Y.[Siu-Yeung], Li, F.[Feng],
Mining user hidden semantics from image content for image retrieval,
JVCIR(19), No. 3, April 2008, pp. 145-164.
Elsevier DOI 0803
Content-based image retrieval; Dynamical feature selection; Dynamical weight adjusting; Similar region pair matching; Object semantics; Object-relation semantics BibRef

Kennedy, L.S., Chang, S.F., Natsev, A.P.,
Query-Adaptive Fusion for Multimodal Search,
PIEEE(96), No. 4, April 2008, pp. 567-588.
IEEE DOI 0804

See also Discovering meaningful multimedia patterns with audio-visual concepts and associated text.
See also Multimodal Search for Effective Video Retrieval. BibRef

He, X.F.[Xiao-Fei], Jhala, P.[Pradhuman],
Regularized query classification using search click information,
PR(41), No. 7, July 2008, pp. 2283-2288.
Elsevier DOI 0804
Query classification; Query representation; Web search; Regression; Regularization; User logs BibRef

Liu, R.J.[Ru-Jie], Wang, Y.H.[Yue-Hong], Baba, T.[Takayuki], Masumoto, D.[Daiki], Nagata, S.[Shigemi],
SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data,
PR(41), No. 8, August 2008, pp. 2645-2655.
Elsevier DOI 0805
BibRef
Earlier: Add fourth: Uehara, Y.[Yusuke], CAIP07(954-961).
Springer DOI 0708
Image retrieval; Relevance feedback; Clustering; SVM; Unlabeled data BibRef

Li, F.[Fei], Liu, R.J.[Ru-Jie], Baba, T.[Takayuki],
Multi-SVM Multi-instance Learning for Object-Based Image Retrieval,
CAIP13(37-44).
Springer DOI 1308
BibRef
Earlier: A1, A2, Only:
Multi-graph multi-instance learning for object-based image and video retrieval,
ICMR12(35).
DOI Link 1301
BibRef
Earlier: A1, A2, Only:
Graph-based multiple-instance learning with instance weighting for image retrieval,
ICIP11(2453-2456).
IEEE DOI 1201
BibRef

Crucianu, M.[Michel], Estevez, D.[Daniel], Oria, V.[Vincent], Tarel, J.P.[Jean-Philippe],
Speeding up active relevance feedback with approximate knn retrieval for hyperplane queries,
IJIST(18), No. 2-3, 2007, pp. 150-159.
DOI Link 0804
BibRef

Chiang, C.C.[Cheng-Chin], Wu, J.Y.[Jyun-Yue], Yang, M.T.[Mau-Tsuen], Tai, W.K.[Wen-Kai],
Independent query refinement and feature re-weighting using positive and negative examples for content-based image retrieval,
MultToolApp(41), No. 1, January 2009, pp. 27-53.
Springer DOI 0905
BibRef

Hsieh, J.W.[Jun-Wei], Chiang, C.C.[Cheng-Chin], Huang, Y.S.[Yea-Shuan],
Using relevance feedback to learn visual concepts from image instances,
CIAP99(692-697).
IEEE DOI 9909
BibRef

Volkmer, T., Thom, J.A., Tahaghoghi, S.M.M.,
Modeling Human Judgment of Digital Imagery for Multimedia Retrieval,
MultMed(9), No. 5, August 2007, pp. 967-974.
IEEE DOI 0905
BibRef

He, X.,
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval,
IP(19), No. 1, January 2010, pp. 254-263.
IEEE DOI 1001
BibRef

Perina, A.[Alessandro], Cristani, M.[Marco], Murino, V.[Vittorio],
Learning natural scene categories by selective multi-scale feature extraction,
IVC(28), No. 6, June 2010, pp. 927-939.
Elsevier DOI 1003
BibRef
Earlier:
Unsupervised Learning of Saliency Concepts for Natural Image Classification and Retrieval,
CIARP08(169-177).
Springer DOI 0809
BibRef
Earlier:
Natural scenes categorization by hierarchical extraction of typicality patterns,
CIAP07(801-806).
IEEE DOI 0709
Image representation; Image classification; Generative modeling BibRef

Cristani, M.[Marco], Perina, A.[Alessandro], Castellani, U., Murino, V.[Vittorio],
Geo-located image analysis using latent representations,
CVPR08(1-8).
IEEE DOI 0806
BibRef
Earlier: A1, A2, A4, Only:
Geo-located Image Grouping Using Latent Descriptions,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Perina, A.[Alessandro], Cristani, M.[Marco], Castellani, U.[Umberto], Murino, V.[Vittorio], Jojic, N.[Nebojsa],
A hybrid generative/discriminative classification framework based on free-energy terms,
ICCV09(2058-2065).
IEEE DOI 0909
BibRef

Perina, A.[Alessandro], Cristani, M.[Marco], Castellani, U.[Umberto], Murino, V.[Vittorio],
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification,
CIAP09(199-208).
Springer DOI 0909
BibRef

Lee, S.Y.[Sih-Young], de Neve, W.[Wesley], Plataniotis, K.N.[Konstantinos N.], Ro, Y.M.[Yong Man],
MAP-based image tag recommendation using a visual folksonomy,
PRL(31), No. 9, 1 July 2010, pp. 976-982.
Elsevier DOI 1004
Folksonomy; Image annotation; Tagging; Tag recommendation Taxonomy -- collaboratively created informal classification. BibRef

Eom, W.Y.[Won-Yong], Lee, S.Y.[Sih-Young], de Neve, W.[Wesley], Ro, Y.M.[Yong Man],
Improving image tag recommendation using favorite image context,
ICIP11(2445-2448).
IEEE DOI 1201
BibRef

Yang, J.J.[Jing-Jing], Li, Y.N.[Yuan-Ning], Tian, Y.H.[Yong-Hong], Duan, L.Y.[Ling-Yu], Gao, W.[Wen],
Per-Sample Multiple Kernel Approach for Visual Concept Learning,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1004
For retrieval BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun], Gao, W.[Wen],
Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation,
SPLetters(17), No. 6, June 2010, pp. 591-594.
IEEE DOI 1006
BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun],
Visual Saliency with Statistical Priors,
IJCV(107), No. 3, May 2014, pp. 239-253.
WWW Link. 1404
BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Chen, X.W.[Xiao-Wu], Huang, T.J.[Tie-Jun],
Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation,
IJCV(120), No. 1, October 2016, pp. 44-60.
Springer DOI 1609
BibRef

Li, J.[Jia], Xu, D., Gao, W.,
Removing Label Ambiguity in Learning-Based Visual Saliency Estimation,
IP(21), No. 4, April 2012, pp. 1513-1525.
IEEE DOI 1204
BibRef

Tian, Y.H.[Yong-Hong], Li, J.[Jia], Yu, S.[Shui], Huang, T.J.[Tie-Jun],
Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes,
IJCV(111), No. 2, January 2015, pp. 153-170.
WWW Link. 1502
BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun], Gao, W.[Wen],
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video,
IJCV(90), No. 2, November 2010, pp. 150-165.
WWW Link. 1011
BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Huang, T.J.[Tie-Jun], Gao, W.[Wen],
Multi-Task Rank Learning for Visual Saliency Estimation,
CirSysVideo(21), No. 5, May 2011, pp. 623-636.
IEEE DOI 1105
BibRef

Li, J.[Jia], Tian, Y.H.[Yong-Hong], Duan, L.Y.[Ling-Yu], Huang, T.J.[Tie-Jun],
Estimating Visual Saliency Through Single Image Optimization,
SPLetters(20), No. 9, 2013, pp. 845-848.
IEEE DOI 1307
image processing BibRef

Perko, R.[Roland], Leonardis, A.[Ales],
A framework for visual-context-aware object detection in still images,
CVIU(114), No. 6, June 2010, pp. 700-711.
Elsevier DOI 1006
Visual context; Object detection; Context integration BibRef

Perko, R.[Roland], Paletta, L.[Lucas], Leonardis, A.[Ales],
Learning contextual rules for priming object categories in images,
ICIP09(1429-1432).
IEEE DOI 0911
BibRef

Ma, H., Zhu, J., Lyu, M.R.T.[Michael R.T.], King, I.[Irwin],
Bridging the Semantic Gap Between Image Contents and Tags,
MultMed(12), No. 5, 2010, pp. 462-473.
IEEE DOI 1008
Tags used on web images, but they are noisy and sparse. BibRef

Kachouri, R.[Rostom], Djemal, K.[Khalifa], Maaref, H.[Hichem],
Multi-model classification method in heterogeneous image databases,
PR(43), No. 12, December 2010, pp. 4077-4088.
Elsevier DOI 1003
BibRef
And:
Adaptive feature selection for heterogeneous image databases,
IPTA10(26-31).
IEEE DOI 1007
Feature extraction; Adaptive feature selection; Multi-model classification; Image recognition; Heterogeneous image database BibRef

Kachouri, R.[Rostom], Djemal, K.[Khalifa], Maaref, H.[Hichem], Masmoudi, D.S.[D. Sellami], Derbel, N.,
Feature extraction and relevance evaluation for heterogeneous image database recognition,
IPTA08(1-6).
IEEE DOI 0811
BibRef

Duygulu, P.[Pinar], Bastan, M.[Muhammet],
Multimedia translation for linking visual data to semantics in videos,
MVA(22), No. 1, January 2011, pp. 99-115.
WWW Link. 1101
BibRef

Duygulu, P.[Pinar], Bastan, M.[Muhammet], Forsyth, D.A.[David A.],
Translating Images to Words for Recognizing Objects in Large Image and Video Collections,
CLOR06(258-276).
Springer DOI 0711
BibRef

Duygulu, P., Barnard, K., de Freitas, J.F.G., Forsyth, D.A.,
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary,
ECCV02(IV: 97 ff.). Award, ECCV, Cognitive Vision.
Springer DOI
HTML Version. 0205
Dataset, Object Recognition. BibRef

Barnard, K.[Kobus], Forsyth, D.A.[David A.],
Learning the Semantics of Words and Pictures,
ICCV01(II: 408-415).
IEEE DOI 0106
Using text in initial classification. BibRef

Barnard, K.[Kobus], Duygulu, P.[Pinar], and Forsyth, D.A.[David A.],
Clustering Art,
CVPR01(II:434-441).
IEEE DOI 0110
Extened version. Use text and images to group pictures. BibRef

Sorokin, A.[Alexander], Forsyth, D.A.[David A.],
Utility data annotation with Amazon Mechanical Turk,
InterNet08(1-8).
IEEE DOI 0806
BibRef

Lu, J.[Jian], Hua, X.S.[Xian-Sheng], Xu, D.[Dong],
Visual Content Identification and Search,
MultMedMag(18), No. 3, 2011, pp. 8-10.
IEEE DOI 1108
BibRef

Murala, S.[Subrahmanyam], Maheshwari, R.P., Balasubramanian, R.,
A relevance feedback-based learner for image retrieval using SIFT descriptors,
IJCVR(2), No. 2, 2011, pp. 99-114.
DOI Link 1109
BibRef

Murala, S.[Subrahmanyam], Maheshwari, R.P., Balasubramanian, R.,
Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval,
IP(21), No. 5, May 2012, pp. 2874-2886.
IEEE DOI 1204
BibRef

Murala, S.[Subrahmanyam], Maheshwari, R.P.,
Directional local extrema patterns: a new descriptor for content based image retrieval,
MultInfoRetr(1), No. 3, October 2012, pp. 191-203.
WWW Link. 1211
BibRef

Murala, S.[Subrahmanyam], Wu, Q.M.J.[Q.M. Jonathan],
Expert content-based image retrieval system using robust local patterns,
JVCIR(25), No. 6, 2014, pp. 1324-1334.
Elsevier DOI 1407
Local binary pattern (LBP) BibRef

Bart, E.[Evgeniy], Welling, M.[Max], Perona, P.[Pietro],
Unsupervised Organization of Image Collections: Taxonomies and Beyond,
PAMI(33), No. 11, November 2011, pp. 2302-2315.
IEEE DOI 1110
Bayesian model to organize in tree structure. Images describe by path, similar images share initial segments in the path. BibRef

Bart, E.[Evgeniy], Porteous, I.[Ian], Perona, P.[Pietro], Welling, M.[Max],
Unsupervised learning of visual taxonomies,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Chatzilari, E., Nikolopoulos, S., Patras, I., Kompatsiaris, I.,
Leveraging social media for scalable object detection,
PR(45), No. 8, August 2012, pp. 2962-2979.
Elsevier DOI 1204
Social media; Collaborative tagging; Flickr; Object detection; Weak annotations; Scalable learning; Effortless learning BibRef

Chatzilari, E.[Elisavet], Nikolopoulos, S.[Spiros], Kompatsiaris, Y.[Yiannis], Kittler, J.V.[Josef V.],
Multi-modal region selection approach for training object detectors,
ICMR12(5).
DOI Link 1301
boost the performance of object classifiers use multi-modal nature of tagged images in social networks BibRef

Sang, J., Xu, C., Liu, J.,
User-Aware Image Tag Refinement via Ternary Semantic Analysis,
MultMed(14), No. 3, 2012, pp. 883-895.
IEEE DOI 1202
BibRef

Zhu, S.[Shiai], Ngo, C.W.[Chong-Wah], Jiang, Y.G.[Yu-Gang],
Sampling and Ontologically Pooling Web Images for Visual Concept Learning,
MultMed(14), No. 4, 2012, pp. 1068-1078.
IEEE DOI 1208
BibRef

Zhu, S.[Shiai], Wang, G.[Gang], Ngo, C.W.[Chong-Wah], Jiang, Y.G.[Yu-Gang],
On the sampling of web images for learning visual concept classifiers,
CIVR10(50-57).
DOI Link 1007
BibRef

Li, X.R.[Xi-Rong], Snoek, C.G.M.[Cees G.M.], Worring, M.[Marcel], Smeulders, A.W.M.[Arnold W.M.],
Harvesting Social Images for Bi-Concept Search,
MultMed(14), No. 4, 2012, pp. 1091-1104.
IEEE DOI 1208
BibRef
Earlier:
Social negative bootstrapping for visual categorization,
ICMR11(12).
DOI Link 1301
BibRef

Li, X.R.[Xi-Rong], Snoek, C.G.M.[Cees G.M.], Worring, M.[Marcel], Smeulders, A.W.M.[Arnold W.M.],
Fusing concept detection and geo context for visual search,
ICMR12(4).
DOI Link 1301
exploit geo tags for visual search BibRef

Li, X.R.[Xi-Rong], Snoek, C.G.M.[Cees G.M.], Worring, M.[Marcel],
Unsupervised multi-feature tag relevance learning for social image retrieval,
CIVR10(10-17).
DOI Link 1007
BibRef

Feng, J.S.[Jia-Shi], Ni, Y.Z.[Yu-Zhao], Dong, J.[Jian], Wang, Z.L.[Zi-Lei], Yan, S.C.[Shui-Cheng],
Purposive Hidden-Object-Game: Embedding Human Computation in Popular Game,
MultMed(14), No. 5, 2012, pp. 1496-1507.
IEEE DOI 1210
For manual annotations. BibRef

Li, Z.Y.[Zhen-Yang], Lew, M.S.[Michael S.],
Cost-sensitive learning in social image tagging: Review, New Ideas and Evaluation,
MultInfoRetr(1), No. 4, December 2012, pp. 205-222.
WWW Link. 1211
BibRef

Fakheri, M., Sedghi, T., Shayesteh, M.G., Amirani, M.C.,
Framework for image retrieval using machine learning and statistical similarity matching techniques,
IET-IPR(7), No. 1, 2013, pp. 1-11.
DOI Link 1303
BibRef

Ulges, A.[Adrian], Borth, D.[Damian], Koch, M.[Markus],
Content analysis meets viewers: linking concept detection with demographics on YouTube,
MultInfoRetr(2), No. 2, June 2013, pp. 145-157.
WWW Link. 1306
BibRef
Earlier: A1, A3, A2:
Linking visual concept detection with viewer demographics,
ICMR12(24).
DOI Link 1301
ad targeting BibRef

Borth, D.[Damian], Ulges, A.[Adrian], Breuel, T.M.[Thomas M.],
Lookapp: interactive construction of web-based concept detectors,
ICMR11(66).
DOI Link 1301
create training content from web sources. BibRef

Li, D.X.[Da-Xiang], Wang, J.[Jing], Zhao, X.Q.[Xiao-Qiang], Liu, Y.[Ying], Wang, D.W.[Dian-Wei],
Multiple Kernel-Based Multi-Instance Learning Algorithm for Image Classification,
JVCIR(25), No. 5, 2014, pp. 1112-1117.
Elsevier DOI 1406
Multi-instance learning (MIL) BibRef

Rao, T., Xu, M., Liu, H., Wang, J., Burnett, I.,
Multi-scale blocks based image emotion classification using multiple instance learning,
ICIP16(634-638)
IEEE DOI 1610
Art BibRef

Li, D.X.[Da-Xiang], Peng, J.Y.[Jin-Ye],
Object-Based Image Retrieval Using Semi-Supervised Multi-Instance Learning,
CISP09(1-5).
IEEE DOI 0910
BibRef

Sarafis, I.[Ioannis], Diou, C.[Christos], Delopoulos, A.[Anastasios],
Building effective SVM concept detectors from clickthrough data for large-scale image retrieval,
MultInfoRetr(4), No. 2, June 2015, pp. 129-142.
Springer DOI 1506
BibRef

Sarafis, I.[Ioannis], Diou, C.[Christos], Tsikrika, T.[Theodora], Delopoulos, A.[Anastasios],
Weighted SVM from clickthrough data for image retrieval,
ICIP14(3013-3017)
IEEE DOI 1502
Detectors BibRef

Tsikrika, T.[Theodora], Diou, C.[Christos], de Vries, A.P.[Arjen P.], Delopoulos, A.[Anastasios],
Image annotation using clickthrough data,
CIVR09(Article No 14).
DOI Link 0907
Based on search logs, what images people followed. BibRef

Pedrycz, W.[Witold], Gacek, A.[Adam], Wang, X.[Xianmin],
Clustering in augmented space of granular constraints: A study in knowledge-based clustering,
PRL(67, Part 2), No. 1, 2015, pp. 122-129.
Elsevier DOI 1512
Granular clustering BibRef

Chen, L.[Lin], Zhang, P.[Peng], Li, B.X.[Bao-Xin],
User-adaptive image retrieval via fusing pointwise and pairwise labels,
MultInfoRetr(5), No. 1, March 2016, pp. 19-33.
Springer DOI 1602
BibRef

Guntuku, S.C.[Sharath Chandra], Zhou, J.T.Y.[Joey Tian-Yi], Roy, S.[Sujoy], Lin, W.S.[Wei-Si], Tsang, I.W.[Ivor W.],
Understanding Deep Representations Learned in Modeling Users Likes,
IP(25), No. 8, August 2016, pp. 3762-3774.
IEEE DOI 1608
BibRef
Earlier:
Deep Representations to Model User 'Likes',
ACCV14(I: 3-18).
Springer DOI 1504
feature extraction BibRef

Guntuku, S.C.[Sharath Chandra], Zhou, J.T.Y.[Joey Tian-Yi], Roy, S.[Sujoy], Lin, W.S.[Wei-Si], Tsang, I.W.[Ivor W.],
'Who Likes What and, Why?' Insights into Modeling Users' Personality Based on Image 'Likes',
AffCom(9), No. 1, January 2018, pp. 130-143.
IEEE DOI 1804
learning (artificial intelligence), recommender systems, social networking (online), social sciences computing, semantic features BibRef

Tian, D.P.[Dong-Ping], Shi, Z.Z.[Zhong-Zhi],
Automatic image annotation based on Gaussian mixture model considering cross-modal correlations,
JVCIR(44), No. 1, 2017, pp. 50-60.
Elsevier DOI 1703
Automatic image annotation BibRef

Tian, D.P.[Dong-Ping], Zhang, W.B.[Wen-Bo], Zhao, X.F.[Xiao-Fei], Shi, Z.Z.[Zhong-Zhi],
Employing PLSA model and max-bisection for refining image annotation,
ICIP13(3996-4000)
IEEE DOI 1412
EM; PLSA; Refining image annotation; image retrieval; max-bisection BibRef

Pang, S., Ma, J., Zhu, J., Xue, J., Tian, Q.,
Improving Object Retrieval Quality by Integration of Similarity Propagation and Query Expansion,
MultMed(21), No. 3, March 2019, pp. 760-770.
IEEE DOI 1903
image representation, image retrieval, query processing, query expansion, object retrieval quality, re-ranking BibRef

Sun, Z.R.[Ze-Ren], Yao, Y.Z.[Ya-Zhou], Xiao, J.[Jimin], Zhang, L.[Lei], Zhang, J.[Jian], Tang, Z.M.[Zhen-Min],
Exploiting textual queries for dynamically visual disambiguation,
PR(110), 2021, pp. 107620.
Elsevier DOI 2011
Visual disambiguation, Image search, Text queries, Web images BibRef


Roads, B.D.[Brett D.], Love, B.C.[Bradley C.],
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings,
CVPR21(3546-3556)
IEEE DOI 2111
Measurement, Supervised learning, Semantics, Psychology, Focusing, Benchmark testing BibRef

Liu, H.[Hao], Xu, X.[Xing], Uchiyama, H., Shimada, A., Nagahara, H., Taniguchi, R.I.,
Query expansion with pairwise learning in object retrieval challenge,
FCV15(1-5)
IEEE DOI 1506
image retrieval BibRef

Xie, L.[Liang], Pan, P.[Peng], Lu, Y.S.[Yan-Sheng], Jiang, S.[Sheng],
Cross-Modal Self-Taught Learning for Image Retrieval,
MMMod15(I: 257-268).
Springer DOI 1501
BibRef

Negi, S.[Sumit], Balasubramanyan, R.[Ramnath], Chaudhury, S.[Santanu],
Discovering User-Communities and Associated Topics from YouTube,
ICPR14(1958-1963)
IEEE DOI 1412
Blogs BibRef

Lovato, P., Perina, A., Cheng, D.S., Segalin, C., Sebe, N., Cristani, M.,
We like it! Mapping image preferences on the counting grid,
ICIP13(2892-2896)
IEEE DOI 1412
Image preferences BibRef

Güngör, T.[Tunga],
A Machine Learning Approach for Displaying Query Results in Search Engines,
CAIP13(180-187).
Springer DOI 1308
BibRef

Marchesotti, L.[Luca], Perronnin, F.[Florent],
Learning beautiful (and ugly) attributes,
BMVC13(xx-yy).
DOI Link 1412
Artistic Interpretation. BibRef

Murray, N.[Naila], Perronnin, F.[Florent],
Generalized Max Pooling,
CVPR14(2473-2480)
IEEE DOI 1409
classification; image representations; pooling BibRef

Murray, N.[Naila], Marchesotti, L.[Luca], Perronnin, F.[Florent],
Learning to rank images using semantic and aesthetic labels,
BMVC12(110).
DOI Link 1301
BibRef
Earlier:
AVA: A large-scale database for aesthetic visual analysis,
CVPR12(2408-2415).
IEEE DOI 1208
Dataset, Aesthetic Analysis. BibRef

Rawashdeh, M.[Majdi], Kim, H.N.[Heung-Nam], El Saddik, A.[Abdulmotaleb],
Folksonomy-boosted social media search and ranking,
ICMR11(27).
DOI Link 1301
we look into the potential of social tagging BibRef

Lan, T.[Tian], Mori, G.[Greg],
A Max-Margin Riffled Independence Model for Image Tag Ranking,
CVPR13(3103-3110)
IEEE DOI 1309
BibRef

Zhou, G.T.[Guang-Tong], Lan, T.[Tian], Yang, W.L.[Wei-Long], Mori, G.[Greg],
Learning Class-to-Image Distance with Object Matchings,
CVPR13(795-802)
IEEE DOI 1309
BibRef

Lan, T.[Tian], Yang, W.L.[Wei-Long], Wang, Y.[Yang], Mori, G.[Greg],
Image Retrieval with Structured Object Queries Using Latent Ranking SVM,
ECCV12(VI: 129-142).
Springer DOI 1210
BibRef

Kim, I.[Ilseo], Oh, S.[Sangmin], Byun, B.[Byungki], Perera, A.G.A.[A.G. Amitha], Lee, C.H.[Chin-Hui],
Explicit Performance Metric Optimization for Fusion-Based Video Retrieval,
Concept12(III: 395-405).
Springer DOI 1210
BibRef

Duan, K.[Kun], Parikh, D.[Devi], Crandall, D.[David], Grauman, K.[Kristen],
Discovering localized attributes for fine-grained recognition,
CVPR12(3474-3481).
IEEE DOI 1208
BibRef

Li, W.[Wen], Duan, L.X.[Li-Xin], Xu, D.[Dong], Tsang, I.W.H.[Ivor Wai-Hung],
Text-based image retrieval using progressive multi-instance learning,
ICCV11(2049-2055).
IEEE DOI 1201
Learn text based. BibRef

Mousselly-Sergieh, H.[Hatem], Watzinger, D.[Daniel], Huber, B.[Bastian], Döller, M.[Mario], Egyed-Zsigmond, E.[Elöd], Kosch, H.[Harald],
Folkioneer: Efficient Browsing of Community Geotagged Images on a Worldwide Scale,
MMMod14(II: 361-364).
Springer DOI 1405
BibRef

Vilsmaier, C.[Christian], Karp, R.[Rolf], Döller, M.[Mario], Kosch, H.[Harald], Brunie, L.[Lionel],
Towards Automatic Detection of CBIRs Configuration,
MMMod12(334-345).
Springer DOI 1201
BibRef

Lu, Z.[Zheng], Yang, X.K.[Xiao-Kang], Lin, W.Y.[Wei-Yao], Chen, X.L.[Xiao-Lin], Zha, H.Y.[Hong-Yuan],
Inferring user image-search goals by mining query logs with semi-supervised spectral clustering,
VCIP12(1-6).
IEEE DOI 1302
BibRef
Earlier:
Inferring users' image-search goals with pseudo-images,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Saini, M.[Mayank], Sharma, D.[Dharmendar],
Tuning topical queries for effective information retrieval,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Wang, Z.[Zheng], Feng, J.S.[Jia-Shi], Zhang, C.S.[Chang-Shui], Yan, S.C.[Shui-Cheng],
Learning to rank tags,
CIVR10(42-49).
DOI Link 1007
BibRef

Pasupa, K.[Kitsuchart], Saunders, C.J.[Craig J.], Szedmak, S.[Sandor], Klami, A.[Arto], Kaski, S.[Samuel], Gunn, S.R.[Steve R.],
Learning to rank images from eye movements,
HCI09(2009-2016).
IEEE DOI 0910
BibRef

Matyas, C.[Christian], Schlieder, C.[Christoph],
A Spatial User Similarity Measure for Geographic Recommender Systems,
GS09(122-139).
Springer DOI 0912
Suggest data based on prior choices. GIS application. BibRef

Rastegari, M.[Mohammad], Fang, C.[Chen], Torresani, L.[Lorenzo],
Scalable object-class retrieval with approximate and top-k ranking,
ICCV11(2659-2666).
IEEE DOI 1201
BibRef

Torresani, L.[Lorenzo], Szummer, M.[Martin], Fitzgibbon, A.[Andrew],
Efficient Object Category Recognition Using Classemes,
ECCV10(I: 776-789).
Springer DOI 1009
BibRef
Earlier:
Learning query-dependent prefilters for scalable image retrieval,
CVPR09(2615-2622).
IEEE DOI 0906
BibRef

Chechik, G.[Gal], Sharma, V.[Varun], Shalit, U.[Uri], Bengio, S.[Samy],
Large Scale Online Learning of Image Similarity through Ranking,
IbPRIA09(11-14).
Springer DOI 0906
OASIS: Online Algorithm for Scalable Image Similarity. For ranking image similarity to query image in retrieval. BibRef

Cheng, H.[Hao], Hua, K.A.[Kien A.], Vu, K.[Khanh],
Leveraging user query log: toward improving image data clustering,
CIVR08(27-36). 0807
BibRef

Huang, S.H.[Szu-Hao], Wu, Q.J.[Qi-Jiunn], Lai, S.H.[Shang-Hong],
Improved AdaBoost-Based Image Retrieval with Relevance Feedback via Paired Feature Learning,
CIVR05(660-670).
Springer DOI 0507
BibRef

Grossi, V.[Valerio], Romei, A.[Andrea],
Extending KDDML with a Visual Metaphor for the KDD Process,
Visual08(xx-yy).
Springer DOI 0809
Knowledge Discovery in Databases Markup Language. BibRef

Cheng, L.[Li], Vishwanathan, S.V.N.[S.V N.], Zhang, X.H.[Xin-Hua],
Consistent image analogies using semi-supervised learning,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Sivic, J.[Josef], Russell, B.C.[Bryan C.], Zisserman, A.[Andrew], Freeman, W.T.[William T.], Efros, A.A.[Alexei A.],
Unsupervised discovery of visual object class hierarchies,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Holub, A.D.[Alex D.], Moreels, P.[Pierre], Perona, P.[Pietro],
Unsupervised clustering for google searches of celebrity images,
FG08(1-8).
IEEE DOI 0809
BibRef

Moh, Y.[Yvonne], Einhäuser, W.[Wolfgang], Buhmann, J.M.[Joachim M.],
Automatic Detection of Learnability under Unreliable and Sparse User Feedback,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Sendhilkumar, S., Geetha, T.V.,
User's Search Behavior Graph for Aiding Personalized Web Search,
PReMI07(357-364).
Springer DOI 0712
BibRef

Mahalakshmi, G.S., Sendhilkumar, S., Karthik, P.,
Automatic Reference Tracking with On-Demand Relevance Filtering Based on User's Interest,
PReMI07(349-356).
Springer DOI 0712
BibRef

Li, W.[Wei], Sun, M.S.[Mao-Song],
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields,
CIVR06(463-472).
Springer DOI 0607
BibRef

Doloc-Mihu, A.[Anca], Raghavan, V.V.[Vijay V.],
Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS),
CIVR06(443-452).
Springer DOI 0607
BibRef

Rao, Y.[Yong], Mundur, P.[Padma], Yesha, Y.[Yelena],
Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval,
CIVR06(350-359).
Springer DOI 0607
BibRef

Das, G.[Gita], Ray, S.[Sid],
Effect of Finite Sample Size in Content-Based Image Retrieval,
AVSBS06(96-96).
IEEE DOI 0611
BibRef

Das, G.[Gita], Ray, S.[Sid], Wilson, C.[Campbell],
Feature Re-weighting in Content-Based Image Retrieval,
CIVR06(193-200).
Springer DOI 0607
BibRef

Han, F.[Feng], Shan, Y.[Ying], Sawhney, H.S.[Harpreet S.], Kumar, R.[Rakesh],
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut,
CVPR08(1-8).
IEEE DOI 0806
BibRef
Earlier: A2, A1, A3, A4:
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects,
CVPR06(II: 1431-1438).
IEEE DOI 0606
BibRef

Kharbouche, S.[Saïd], Vannorenberghe, P.[Patrick], Lecomte, C.[Christèle], Miché, P.[Pierre],
An Automatic Relevance Feedback in Image Retrieval Using Belief Functions,
ISVC05(704-709).
Springer DOI 0512
BibRef

Su, W.T.[Wan-Ting], Chu, W.S.[Wen-Sheng], Lien, J.J.J.[Jenn-Jier James],
Heuristic Pre-clustering Relevance Feedback in Region-Based Image Retrieval,
ACCV06(II:294-304).
Springer DOI 0601
BibRef

Nowozin, S.[Sebastian], Bakir, G.H.[Gokhan H.], Tsuda, K.[Koji],
Discriminative Subsequence Mining for Action Classification,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Nowozin, S.[Sebastian], Tsuda, K.[Koji], Uno, T.[Takeaki], Kudo, T.[Taku], Bakir, G.H.[Gokhan H.],
Weighted Substructure Mining for Image Analysis,
CVPR07(1-8).
IEEE DOI 0706
for browsing. All sets of words. BibRef

Bakir, G.H.[Gökhan H.], Zien, A.[Alexander], Tsuda, K.[Koji],
Learning to Find Graph Pre-images,
DAGM04(253-261).
Springer DOI 0505
BibRef

Stejic, Z.[Zoran], Takama, Y.[Yasufumi], Hirota, K.[Kaoru],
Small Sample Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval,
CIVR04(51-59).
Springer DOI 0505
BibRef

Yan, R.[Rong], Hauptmann, A.G.[Alexander G.],
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval,
CIVR06(113-122).
Springer DOI 0607
BibRef

Yan, R.[Rong], Hauptmann, A.G., Jin, R.[Rong],
Pseudo-Relevance Feedback for Multimedia Retrieval,
VideoMining03(Chapter 11). BibRef 0300

Makihara, Y., Shirai, Y., Shimada, N.,
Online learning of color transformation for interactive object recognition under various lighting conditions,
ICPR04(III: 161-164).
IEEE DOI 0409
BibRef

Franco, A., Lumini, A., Maio, D.,
A new approach for relevance feedback through positive and negative samples,
ICPR04(IV: 905-908).
IEEE DOI 0409
BibRef

Chang, E.Y., Li, B.T.[Bei-Tao], Wu, G.[Gang], Goh, K.[Kingshy],
Statistical learning for effective visual information retrieval,
ICIP03(III: 609-612).
IEEE DOI 0312
BibRef

El Naqa, I., Yang, Y.Y.[Yong-Yi], Galatsanos, N.P., Wernick, M.N.,
Relevance feedback based on incremental learning for mammogram retrieval,
ICIP03(I: 729-732).
IEEE DOI 0312
BibRef

Ye, H.J.[Hang-Jun], Xu, G.Y.[Guang-You],
Similarity measure learning for image retrieval using binary component discriminating function,
ICIP03(I: 717-720).
IEEE DOI 0312
BibRef

Koo, H.I.[Hyung Il], Cho, N.I.[Nam Ik],
A relevance feedback algorithm based on the clustering and parzen window,
ICIP03(II: 551-554).
IEEE DOI 0312
BibRef

Hertz, T., Bar-Hillel, A., Weinshall, D.,
Learning distance functions for image retrieval,
CVPR04(II: 570-577).
IEEE DOI 0408
BibRef

Najjar, M.[Micheline], Ambroise, C.[Christophe], Cocquerez, J.P.[Jean Pierre],
Feature selection for semi supervised learning applied to image retrieval,
ICIP03(II: 559-562).
IEEE DOI 0312
BibRef
And:
Image Retrieval Using Mixture Models and EM Algorithm,
SCIA03(1114-1121).
Springer DOI 0310
BibRef

Chiu, C.Y.[Chih-Yi], Lin, H.C.[Hsin-Chih], Yang, S.N.[Shi-Nine],
Learning user preference in a personalized CBIR system,
ICPR02(II: 532-535).
IEEE DOI 0211
BibRef

Wu, Y.M.[Yi-Min], Zhang, A.D.[Ai-Dong],
A feature re-weighting approach for relevance feedback in image retrieval,
ICIP02(II: 581-584).
IEEE DOI 0210
BibRef

Chang, Y.J.[Yao-Jen], Kamataki, K.[Keisuke], Chen, T.H.[Tsu-Han],
Mean shift feature space warping for relevance feedback,
ICIP09(1849-1852).
IEEE DOI 0911
BibRef

Bang, H.Y.[Hoon Yul], Chen, T.H.[Tsu-Han],
Feature space warping: an approach to relevance feedback,
ICIP02(I: 968-971).
IEEE DOI 0210
BibRef

Carkacioglu, A., Vural, F.Y.,
Learning similarity space,
ICIP02(I: 405-408).
IEEE DOI 0210
BibRef

Jones, B.C., Wilkes, D.M.,
A New Analysis Framework for Relevance Feedback-Driven Similarity Measure Refinement in Content-Based Image Retrieval,
CVPR01(I:920-925).
IEEE DOI 0110
BibRef

Yoon, J., Jayant, N.,
Relevance Feedback for Semantics Based Image Retrieval,
ICIP01(I: 42-45).
IEEE DOI 0108
BibRef

Peng, J.,
A Multi-class Relevance Feedback Approach to Image Retrieval,
ICIP01(I: 46-49).
IEEE DOI 0108
BibRef

Zhang, L., Lin, F., Zhang, B.,
Support Vector Machine Learning for Image Retrieval,
ICIP01(II: 721-724).
IEEE DOI 0108
BibRef

Müller, H.[Henning], Müller, W.[Wolfgang], Marchand-Maillet, S.[Stephane], Pun, T.[Thierry],
Strategies for Positive and Negative Relevance Feedback in Image Retrieval,
ICPR00(Vol I: 1043-1046).
IEEE DOI 0009
BibRef

Choi, Y.S.[Young-Sik], Kim, D.W.[Dae-Won], Krishnapuram, R.[Raghu],
Relevance Feedback for Content-Based Retrieval Based on Choquet Integral,
ICME00(TP11). 0007
BibRef

Oh, S.W.[Sang-Wook], Chung, M.G.[Min Gyo], Sull, S.H.[Sang-Hoon],
Relevance Feedback Reinforced with Semantics Accumulation,
CIVR04(448-454).
Springer DOI 0505
BibRef

Sull, S.H.[Sang-Hoon], Oh, J.[Jeongtaek], Oh, S.W.[Sang-Wook], Song, S.M.H.[Samuel Moon-Ho], Lee, S.U.[Sang Uk],
Relevance Graph-Based Image Retrieval,
ICME00(TA4). 0007
BibRef

Aksoy, S., Haralick, R.M., Cheikh, F.A., Gabbouj, M.,
A Weighted Distance Approach to Relevance Feedback,
ICPR00(Vol IV: 812-815).
IEEE DOI 0009
BibRef

Otsuka, K., Horikoshi, T., Suzuki, S., Kojima, H.,
Memory-based forecasting of complex natural patterns by retrieving similar image sequences,
CIAP99(874-879).
IEEE DOI 9909
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Relevance Feedback, Tsinghua Univ. and Related Papers .


Last update:Nov 26, 2024 at 16:40:19