Tao, D.C.[Da-Cheng],
Tang, X.[Xiaoou],
Li, X.L.[Xue-Long],
Wu, X.D.[Xin-Dong],
Asymmetric Bagging and Random Subspace for Support Vector
Machines-Based Relevance Feedback in Image Retrieval,
PAMI(28), No. 7, July 2006, pp. 1088-1099.
IEEE DOI
0606
BibRef
Li, J.[Jing],
Allinson, N.M.[Nigel M.],
Tao, D.C.,
Li, X.L.[Xue-Long],
Multitraining Support Vector Machine for Image Retrieval,
IP(15), No. 11, November 2006, pp. 3597-3601.
IEEE DOI
0610
BibRef
Tao, D.C.[Da-Cheng],
Tang, X.[Xiaoou],
Li, X.L.[Xue-Long],
Which Components are Important for Interactive Image Searching?,
CirSysVideo(18), No. 1, January 2008, pp. 3-11.
IEEE DOI
0802
BibRef
Tao, D.C.[Da-Cheng],
Tang, X.[Xiaoou],
Orthogonal complement component analysis for positive samples in SVM
based relevance feedback image retrieval,
CVPR04(II: 586-591).
IEEE DOI
0408
BibRef
Earlier:
Nonparametric discriminant analysis in relevance feedback for
content-based image retrieval,
ICPR04(II: 1013-1016).
IEEE DOI
0409
BibRef
And:
Random sampling based SVM for relevance feedback image retrieval,
CVPR04(II: 647-652).
IEEE DOI
0408
BibRef
Tao, D.C.[Da-Cheng],
Li, X.L.[Xue-Long],
Wu, X.D.[Xin-Dong],
Maybank, S.J.[Stephen J.],
Geometric Mean for Subspace Selection,
PAMI(31), No. 2, February 2009, pp. 260-274.
IEEE DOI
0901
BibRef
Huang, K.Q.[Kai-Qi],
Wang, C.[Chong],
Tao, D.C.[Da-Cheng],
High-Order Topology Modeling of Visual Words for Image Classification,
IP(24), No. 11, November 2015, pp. 3598-3608.
IEEE DOI
1509
image classification
BibRef
Tang, J.[Jun],
Shao, L.[Ling],
Li, X.L.[Xue-Long],
Efficient dictionary learning for visual categorization,
CVIU(124), No. 1, 2014, pp. 91-98.
Elsevier DOI
1406
Visual categorization
BibRef
Lu, K.[Ke],
He, N.[Ning],
Xue, J.[Jian],
Dong, J.Y.[Ji-Yang],
Shao, L.[Ling],
Learning View-Model Joint Relevance for 3D Object Retrieval,
IP(24), No. 5, May 2015, pp. 1449-1459.
IEEE DOI
1504
feature extraction
BibRef
Zhang, L.[Lu],
Mei, T.[Tao],
Liu, Y.[Yuan],
Tao, D.C.[Da-Cheng],
Zhou, H.Q.[He-Qin],
Visual search reranking via adaptive particle swarm optimization,
PR(44), No. 8, August 2011, pp. 1811-1820.
Elsevier DOI
1104
Visual search reranking; Adaptive particle swarm optimization; List
distance; Video search
BibRef
Tian, X.M.[Xin-Mie],
Yang, L.J.[Lin-Jun],
Wang, J.D.[Jing-Dong],
Wu, X.Q.[Xiu-Qing],
Hua, X.S.[Xian-Sheng],
Bayesian Visual Reranking,
MultMed(13), No. 4, 2011, pp. 639-652.
IEEE DOI
1108
BibRef
And:
Correction:
MultMed(14), No. 2, 2012, pp. 490.
IEEE DOI
1204
BibRef
Tian, X.M.[Xin-Mei],
Tao, D.C.[Da-Cheng],
Visual Reranking: From Objectives to Strategies,
MultMedMag(18), No. 3, 2011, pp. 12-21.
IEEE DOI
1108
BibRef
Duan, L.X.[Li-Xin],
Li, W.,
Tsang, I.W.H.[Ivor W.H.],
Xu, D.[Dong],
Improving Web Image Search by Bag-Based Reranking,
IP(20), No. 11, November 2011, pp. 3280-3290.
IEEE DOI
1110
BibRef
Zhou, W.G.[Wen-Gang],
Tian, Q.[Qi],
Lu, Y.J.[Yi-Juan],
Yang, L.J.[Lin-Jun],
Li, H.Q.[Hou-Qiang],
Latent visual context learning for web image applications,
PR(44), No. 10-11, October-November 2011, pp. 2263-2273.
Elsevier DOI
1101
BibRef
Earlier: A1, A2, A4, A5, Only:
Latent visual context analysis for image re-ranking,
CIVR10(205-212).
DOI Link
1007
Visual context; Image re-ranking; Canonical image selection; Set coverage
BibRef
Huang, J.[Jun],
Yang, X.K.[Xiao-Kang],
Fang, X.Z.[Xiang-Zhong],
Lin, W.Y.[Wei-Yao],
Zhang, R.[Rui],
Integrating Visual Saliency and Consistency for Re-Ranking Image Search
Results,
MultMed(13), No. 4, 2011, pp. 653-661.
IEEE DOI
1108
BibRef
Earlier: A1, A2, A5, A3, Only
Add
Lu, F.X.[Fu-Xiang],
ICIP10(3173-3176).
IEEE DOI
1009
BibRef
Chang, Y.[Yi],
Bai, J.[Jing],
Zhou, K.[Ke],
Xue, G.R.[Gui-Rong],
Zha, H.Y.[Hong-Yuan],
Zheng, Z.H.[Zhao-Hui],
Multi-task learning to rank for web search,
PRL(33), No. 2, 15 January 2012, pp. 173-181.
Elsevier DOI
1112
Multi-task learning; Non-parametric common structure; Learning to
rank; Convergence analysis
BibRef
Tang, X.[Xiaoou],
Liu, K.[Ke],
Cui, J.Y.[Jing-Yu],
Wen, F.[Fang],
Wang, X.G.[Xiao-Gang],
IntentSearch: Capturing User Intention for One-Click Internet Image
Search,
PAMI(34), No. 7, July 2012, pp. 1342-1353.
IEEE DOI
1205
Use visual information in large-scale search, not just surrounding text.
Rerank retrieved images using visual cues and text cues.
BibRef
Wang, X.G.[Xiao-Gang],
Qiu, S.,
Liu, K.[Ke],
Tang, X.[Xiaoou],
Web Image Re-Ranking Using Query-Specific Semantic Signatures,
PAMI(36), No. 4, April 2014, pp. 810-823.
IEEE DOI
1404
BibRef
Earlier: A1, A3, A4, Only:
Query-specific visual semantic spaces for web image re-ranking,
CVPR11(857-864).
IEEE DOI
1106
Accuracy
BibRef
Wang, M.,
Li, H.,
Tao, D.C.[Da-Cheng],
Lu, K.,
Wu, X.D.[Xin-Dong],
Multimodal Graph-Based Reranking for Web Image Search,
IP(21), No. 11, November 2012, pp. 4649-4661.
IEEE DOI
1210
BibRef
Yang, L.J.[Lin-Jun],
Hanjalic, A.[Alan],
Prototype-Based Image Search Reranking,
MultMed(14), No. 3, 2012, pp. 871-882.
IEEE DOI
1202
BibRef
Yang, L.J.[Lin-Jun],
Hanjalic, A.[Alan],
Learning to Rerank Web Images,
MultMedMag(20), No. 2, 2013, pp. 13-21.
IEEE DOI
1307
search engine architecture;
search reranking
BibRef
Yang, L.J.[Lin-Jun],
Cai, Y.[Yang],
Hanjalic, A.[Alan],
Hua, X.S.[Xian-Sheng],
Li, S.P.[Shi-Peng],
Searching for images by video,
MultInfoRetr(2), No. 3, September 2013, pp. 213-225.
Springer DOI
1307
Query by video.
BibRef
Yao, T.[Ting],
Ngo, C.W.[Chong-Wah],
Mei, T.[Tao],
Circular Reranking for Visual Search,
IP(22), No. 4, April 2013, pp. 1644-1655.
IEEE DOI
1303
BibRef
Yao, T.[Ting],
Mei, T.[Tao],
Ngo, C.W.[Chong-Wah],
Learning Query and Image Similarities with Ranking Canonical
Correlation Analysis,
ICCV15(28-36)
IEEE DOI
1602
Bipartite graph
BibRef
Yu, J.[Jun],
Rui, Y.[Yong],
Chen, B.[Bo],
Exploiting Click Constraints and Multi-view Features for Image
Re-ranking,
MultMed(16), No. 1, January 2014, pp. 159-168.
IEEE DOI
1412
graph theory
BibRef
Mei, T.[Tao],
Rui, Y.[Yong],
Li, S.P.[Shi-Peng],
Tian, Q.[Qi],
Multimedia search reranking: A literature survey,
Surveys(46), No. 3, February 2014, pp. Article No 38.
DOI Link
1403
Survey, Reranking. The explosive growth and widespread accessibility of
community-contributed media content on the Internet have led to a surge
of research activity in multimedia search. Approaches that apply text
search techniques for multimedia search have achieved limited success.
BibRef
Wang, J.J.Y.[Jim Jing-Yan],
Bensmail, H.[Halima],
Unified framework for representing and ranking,
PR(47), No. 6, 2014, pp. 2293-2300.
Elsevier DOI
1403
Database retrieval
BibRef
da Silva Torres, R.[Ricardo],
Falcao, A.X.[Alexandre X.],
Goncalves, M.A.[Marcos A.],
Papa, J.P.[Joao P.],
Zhang, B.P.[Bao-Ping],
Fan, W.G.[Wei-Guo],
Fox, E.A.[Edward A.],
A genetic programming framework for content-based image retrieval,
PR(42), No. 2, February 2009, pp. 283-292.
Elsevier DOI
0810
Content-based image retrieval; Genetic programming; Shape descriptors;
Image analysis
BibRef
Ferreira, C.D.,
Santos, J.A.,
da Silva Torres, R.[Ricardo],
Goncalves, M.A.[Marcos A.],
Rezende, R.C.,
Fan, W.G.[Wei-Guo],
Relevance feedback based on genetic programming for image retrieval,
PRL(31), No. 1, January 2010, pp. 27-37.
Elsevier DOI
1011
Relevance feedback; Content-based image retrieval; Genetic programming
BibRef
Guimarães Pedronette, D.C.[Daniel Carlos],
Exploiting contextual information for image re-ranking and rank
aggregation,
MultInfoRetr(1), No. 2, July 2012, pp. 115-128.
WWW Link.
1211
BibRef
Guimarães Pedronette, D.C.[Daniel Carlos],
da Silva Torres, R.[Ricardo],
Image Re-ranking and Rank Aggregation Based on Similarity of Ranked
Lists,
PR(46), No. 8, August 2013, pp. 2350-2360.
Elsevier DOI
1304
BibRef
Earlier:
Combining Re-Ranking and Rank Aggregation Methods,
CIARP12(170-178).
Springer DOI
1209
BibRef
Earlier:
CAIP11(I: 369-376).
Springer DOI
1109
BibRef
Earlier:
Exploiting contextual spaces for image re-ranking and rank aggregation,
ICMR11(13).
DOI Link
1301
BibRef
And:
Exploiting contextual information for rank aggregation,
ICIP11(97-100).
IEEE DOI
1201
BibRef
Earlier:
Exploiting Contextual Information for Image Re-ranking,
CIARP10(541-548).
Springer DOI
1011
Content-based image retrieval; Re-ranking; Ranked lists; Rank
aggregation
BibRef
Guimarães Pedronette, D.C.[Daniel Carlos],
Penatti, O.A.B.[Otávio A.B.],
da Silva Torres, R.[Ricardo],
Unsupervised manifold learning using Reciprocal kNN Graphs in image
re-ranking and rank aggregation tasks,
IVC(32), No. 2, 2014, pp. 120-130.
Elsevier DOI
1403
Content-based image retrieval
BibRef
And: A1, A3, Only:
Unsupervised manifold learning by correlation graph and strongly
connected components for image retrieval,
ICIP14(1892-1896)
IEEE DOI
1502
Correlation
BibRef
Guimarães Pedronette, D.C.[Daniel Carlos],
Fernandes Gonçalves, F.M.[Filipe Marcel],
Guilherme, I.R.[Ivan Rizzo],
Unsupervised manifold learning through reciprocal kNN graph and
Connected Components for image retrieval tasks,
PR(75), No. 1, 2018, pp. 161-174.
Elsevier DOI
1712
Content-based image retrieval
BibRef
Guimarães Pedronette, D.C.[Daniel Carlos],
Almeida, J.[Jurandy],
da Silva Torres, R.[Ricardo],
A graph-based ranked-list model for unsupervised distance learning on
shape retrieval,
PRL(83, Part 3), No. 1, 2016, pp. 357-367.
Elsevier DOI
1609
Shape retrieval
BibRef
Sener, F.[Fadime],
Ikizler-Cinbis, N.[Nazli],
Ensemble of multiple instance classifiers for image re-ranking,
IVC(32), No. 5, 2014, pp. 348-362.
Elsevier DOI
1404
Image retrieval
BibRef
Deng, C.[Cheng],
Ji, R.R.[Rong-Rong],
Tao, D.C.[Da-Cheng],
Gao, X.B.[Xin-Bo],
Li, X.L.[Xue-Long],
Weakly Supervised Multi-Graph Learning for Robust Image Reranking,
MultMed(16), No. 3, April 2014, pp. 785-795.
IEEE DOI
1405
feature extraction
BibRef
Tao, D.C.[Da-Cheng],
Cheng, J.,
Gao, X.B.[Xin-Bo],
Li, X.L.[Xue-Long],
Deng, C.[Cheng],
Robust Sparse Coding for Mobile Image Labeling on the Cloud,
CirSysVideo(27), No. 1, January 2017, pp. 62-72.
IEEE DOI
1701
Cloud computing
BibRef
Deng, C.[Cheng],
Ji, R.R.[Rong-Rong],
Liu, W.[Wei],
Tao, D.C.[Da-Cheng],
Gao, X.B.[Xin-Bo],
Visual Reranking through Weakly Supervised Multi-graph Learning,
ICCV13(2600-2607)
IEEE DOI
1403
Visual reranking
BibRef
Yu, J.[Jun],
Rui, Y.[Yong],
Tao, D.C.[Da-Cheng],
Click Prediction for Web Image Reranking Using Multimodal Sparse
Coding,
IP(23), No. 5, May 2014, pp. 2019-2032.
IEEE DOI
1405
Internet
BibRef
Tang, C.H.[Chao-Hui],
Zhu, Q.X.[Qing-Xin],
Hong, C.Q.[Chao-Qun],
Yu, J.[Jun],
Multi-modal Image Re-ranking with Autoencoders and Click Semantics,
MMMod16(I: 609-620).
Springer DOI
1601
BibRef
Zhang, Y.D.[Yong-Dong],
Yang, X.P.[Xiao-Peng],
Mei, T.[Tao],
Image Search Reranking With Query-Dependent Click-Based Relevance
Feedback,
IP(23), No. 10, October 2014, pp. 4448-4459.
IEEE DOI
1410
image fusion
BibRef
Yang, X.P.[Xiao-Peng],
Mei, T.[Tao],
Zhang, Y.D.[Yong-Dong],
Liu, J.,
Satoh, S.,
Web Image Search Re-Ranking With Click-Based Similarity and
Typicality,
IP(25), No. 10, October 2016, pp. 4617-4630.
IEEE DOI
1610
Internet
BibRef
Tian, X.M.[Xin-Mei],
Jia, Q.H.[Qiang-Huai],
Mei, T.[Tao],
Query Difficulty Estimation for Image Search With Query
Reconstruction Error,
MultMed(17), No. 1, January 2015, pp. 79-91.
IEEE DOI
1502
image retrieval
BibRef
Wang, B.[Bin],
Pan, F.[Feng],
Hu, K.M.[Kai-Mo],
Paul, J.C.[Jean-Claude],
Manifold-ranking based retrieval using k-regular nearest neighbor
graph,
PR(45), No. 4, 2012, pp. 1569-1577.
Elsevier DOI
1410
k-Regular nearest neighbor graph
BibRef
Aldana-Iuit, J.[Javier],
Chum, O.[Ondrej],
Matas, J.G.[Jiri G.],
Relevance Assessment for Visual Video Re-ranking,
ICIAR14(I: 421-430).
Springer DOI
1410
BibRef
Voravuthikunchai, W.[Winn],
Crémilleux, B.[Bruno],
Jurie, F.[Frédéric],
Image re-ranking system based on closed frequent patterns,
MultInfoRetr(3), No. 4, November 2014, pp. 231-244.
Springer DOI
1411
BibRef
Cai, J.J.[Jun-Jie],
Zha, Z.J.[Zheng-Jun],
Wang, M.[Meng],
Zhang, S.L.[Shi-Liang],
Tian, Q.[Qi],
An Attribute-Assisted Reranking Model for Web Image Search,
IP(24), No. 1, January 2015, pp. 261-272.
IEEE DOI
1502
Internet
BibRef
Cao, X.C.[Xiao-Chun],
Zhang, H.[Hua],
Guo, X.J.[Xiao-Jie],
Liu, S.[Si],
Meng, D.[Dan],
SLED: Semantic Label Embedding Dictionary Representation for
Multilabel Image Annotation,
IP(24), No. 9, September 2015, pp. 2746-2759.
IEEE DOI
1506
data mining
BibRef
Cao, X.C.[Xiao-Chun],
Zhang, H.[Hua],
Guo, X.J.[Xiao-Jie],
Liu, S.[Si],
Chen, X.W.[Xiao-Wu],
Image Retrieval and Ranking via Consistently Reconstructing
Multi-attribute Queries,
ECCV14(I: 569-583).
Springer DOI
1408
BibRef
Ji, Z.[Zhong],
Pang, Y.W.[Yan-Wei],
Li, X.L.[Xue-Long],
Relevance Preserving Projection and Ranking for Web Image Search
Reranking,
IP(24), No. 11, November 2015, pp. 4137-4147.
IEEE DOI
1509
data mining
BibRef
Tian, X.,
Yang, L.,
Lu, Y.,
Tian, Q.,
Tao, D.,
Image Search Reranking With Hierarchical Topic Awareness,
Cyber(45), No. 10, October 2015, pp. 2177-2189.
IEEE DOI
1509
BibRef
Bai, S.[Song],
Bai, X.[Xiang],
Sparse Contextual Activation for Efficient Visual Re-Ranking,
IP(25), No. 3, March 2016, pp. 1056-1069.
IEEE DOI
1602
feature extraction
BibRef
Li, X.T.[Xu-Tao],
Ye, Y.M.[Yun-Ming],
Ng, M.K.[Michael K.],
MultiVCRank With Applications to Image Retrieval,
IP(25), No. 3, March 2016, pp. 1396-1409.
IEEE DOI
1602
Multi-Visual-Concept Ranking.
Algorithm design and analysis
BibRef
Qi, S.Y.[Si-Yuan],
Luo, Y.P.[Yu-Pin],
Object retrieval with image graph traversal-based re-ranking,
SP:IC(41), No. 1, 2016, pp. 101-114.
Elsevier DOI
1602
Image graph traversal
retrieval of a particular object.
Reranking with BoW
BibRef
Cai, Y.Z.[Yuan-Zheng],
Li, S.Z.[Shao-Zi],
Cheng, Y.[Yun],
Ji, R.R.[Rong-Rong],
Local consistent hierarchical Hough Match for image re-ranking,
JVCIR(37), No. 1, 2016, pp. 32-39.
Elsevier DOI
1603
Image retrieval
BibRef
Lu, D.,
Liu, X.,
Qian, X.,
Tag-Based Image Search by Social Re-ranking,
MultMed(18), No. 8, August 2016, pp. 1628-1639.
IEEE DOI
1608
Cultural differences
BibRef
Pham, C.C.[Cuong Cao],
Jeon, J.W.[Jae Wook],
Robust object proposals re-ranking for object detection in autonomous
driving using convolutional neural networks,
SP:IC(53), No. 1, 2017, pp. 110-122.
Elsevier DOI
1703
Object proposals
BibRef
Li, J.,
Xu, C.,
Yang, W.,
Sun, C.,
Tao, D.,
Discriminative Multi-View Interactive Image Re-Ranking,
IP(26), No. 7, July 2017, pp. 3113-3127.
IEEE DOI
1706
Computational modeling, Image retrieval, Kernel,
Testing, Training, Visualization, Image representations,
discriminative multi-view learning,
interactive image re-ranking, user, relevance, feedback
BibRef
Li, J.,
Xu, C.,
Yang, W.,
Sun, C.,
Xu, J.,
Zhang, H.,
Discriminative Multi-View Privileged Information Learning for Image
Re-Ranking,
IP(29), 2020, pp. 3490-3505.
IEEE DOI
2002
Multi-view re-ranking, privileged information (PI),
latent subspaces, multi-view embeddings
BibRef
Qian, X.,
Lu, D.,
Wang, Y.,
Zhu, L.,
Tang, Y.Y.,
Wang, M.,
Image Re-Ranking Based on Topic Diversity,
IP(26), No. 8, August 2017, pp. 3734-3747.
IEEE DOI
1707
data analysis, image retrieval, social networking (online),
Flickr data set, NUS-Wide data sets, Web sites,
community detection method, image re-ranking, image retrieval,
intercommunity ranking process, intracommunity ranking,
inverted index structure, multi-information,
social media sharing, social networks, tag-based image search,
topic coverage performance, topic diversity, Adaptation models,
Cultural differences, Image retrieval, Semantics,
Social network services, Visualization, Social media, image search,
re-ranking, tag-based image retrieval, topic, community
BibRef
Tang, X.,
Jiao, L.,
Emery, W.J.,
Liu, F.,
Zhang, D.,
Two-Stage Reranking for Remote Sensing Image Retrieval,
GeoRS(55), No. 10, October 2017, pp. 5798-5817.
IEEE DOI
1710
Remote sensing, Satellites, Semantics, Synthetic aperture radar,
Visualization, Remote sensing image retrieval (RSIR), reranking
BibRef
Tang, X.[Xu],
Zhang, X.R.[Xiang-Rong],
Liu, F.[Fang],
Jiao, L.C.[Li-Cheng],
Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
See also Transferred Deep Learning-Based Change Detection in Remote Sensing Images.
BibRef
Liu, C.[Chao],
Ma, J.J.[Jing-Jing],
Tang, X.[Xu],
Liu, F.[Fang],
Zhang, X.R.[Xiang-Rong],
Jiao, L.C.[Li-Cheng],
Deep Hash Learning for Remote Sensing Image Retrieval,
GeoRS(59), No. 4, April 2021, pp. 3420-3443.
IEEE DOI
2104
Image retrieval, Feature extraction, Learning systems,
Remote sensing, Task analysis, Quantization (signal),
hash learning
BibRef
Wang, S.[Shuang],
Quan, D.[Dou],
Liang, X.F.[Xue-Feng],
Ning, M.D.[Meng-Dan],
Guo, Y.[Yanhe],
Jiao, L.C.[Li-Cheng],
A deep learning framework for remote sensing image registration,
PandRS(145), 2018, pp. 148-164.
Elsevier DOI
1810
Deep neural network, Image registration, Remote sensing image,
Self-learning, Transfer learning
BibRef
Mandal, D.[Devraj],
Biswas, S.[Soma],
Query specific re-ranking for improved cross-modal retrieval,
PRL(98), No. 1, 2017, pp. 110-116.
Elsevier DOI
1710
Cross-modal
BibRef
Mandal, D.[Devraj],
Biswas, S.[Soma],
Label consistent matrix factorization based hashing for cross-modal
retrieval,
ICIP17(2901-2905)
IEEE DOI
1803
Closed-form solutions, Electronic publishing,
Information services, Internet, Kernel, Task analysis, Training,
image-text
BibRef
Mandal, D.[Devraj],
Chaudhury, K.N.,
Biswas, S.[Soma],
Generalized Semantic Preserving Hashing for Cross-Modal Retrieval,
IP(28), No. 1, January 2019, pp. 102-112.
IEEE DOI
1810
BibRef
Generalized Semantic Preserving Hashing for N-Label Cross-Modal
Retrieval,
CVPR17(2633-2641)
IEEE DOI
1711
file organisation, image retrieval, information retrieval,
iterative methods, matrix algebra, regression analysis,
kernel logistic regression.
Information services, Minimization,
Multimedia communication, Optimization, Semantics
BibRef
Li, S.W.[Shang-Wen],
Purushotham, S.[Sanjay],
Chen, C.[Chen],
Ren, Y.Z.[Yu-Zhuo],
Kuo, C.C.J.[C.C. Jay],
Measuring and Predicting Tag Importance for Image Retrieval,
PAMI(39), No. 12, December 2017, pp. 2423-2436.
IEEE DOI
1711
Image retrieval, Predictive models, Semantics,
Visual databases, Visualization,
Multimodal image retrieval (MIR), cross-domain learning,
image retrieval, importance measure, importance prediction,
semantic gap, tag, importance
BibRef
Pan, X.Q.[Xia-Qing],
Chen, Y.[Yueru],
Kuo, C.C.J.[C.C. Jay],
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking
(IF/SR),
3DModelApp16(I: 630-646).
Springer DOI
1704
Irrelevance filtering (IF) then similarity ranking (SR).
BibRef
Yu, J.,
Yang, X.,
Gao, F.,
Tao, D.,
Deep Multimodal Distance Metric Learning Using Click Constraints for
Image Ranking,
Cyber(47), No. 12, December 2017, pp. 4014-4024.
IEEE DOI
1712
Extraterrestrial measurements, Image retrieval, Optimization,
Semantics, Training, Visualization, Deep learning,
multimodal
BibRef
Yoshida, S.[Soh],
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Muneyasu, M.[Mitsuji],
Graph-Based Video Search Reranking with Local and Global Consistency
Analysis,
IEICE(E101-D), No. 5, May 2018, pp. 1430-1440.
WWW Link.
1805
BibRef
Zheng, D.C.[Dan-Chen],
Liu, W.S.[Wang-Shu],
Han, M.[Min],
Learning contextual dissimilarity on tensor product graph for
visual re-ranking,
IVC(79), 2018, pp. 1-10.
Elsevier DOI
1811
Diffusion process, Contextual dissimilarity,
Tensor product graph, Mean first-passage time, Hybrid fitting constraint
BibRef
Agryzkov, T.[Taras],
Pedroche, F.[Francisco],
Tortosa, L.[Leandro],
Vicent, J.F.[José F.],
Combining the Two-Layers PageRank Approach with the APA Centrality in
Networks with Data,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Pang, S.,
Ma, J.,
Xue, J.,
Zhu, J.,
Ordonez, V.,
Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for
Image Retrieval,
MultMed(21), No. 6, June 2019, pp. 1513-1523.
IEEE DOI
1906
Heating systems, Image retrieval, Temperature measurement,
Feature extraction, Mathematical model,
image retrieval
BibRef
Simone, R.[Rosaria],
Cappelli, C.[Carmela],
di Iorio, F.[Francesca],
Modelling marginal ranking distributions: The uncertainty tree,
PRL(125), 2019, pp. 278-288.
Elsevier DOI
1909
Model-based tree, Uncertainty, Marginal rankings
BibRef
Fan, L.[Lili],
Zhao, H.W.[Hong-Wei],
Zhao, H.Y.[Hao-Yu],
Liu, P.P.[Ping-Ping],
Hu, H.S.[Huang-Shui],
Image Retrieval Based on Learning to Rank and Multiple Loss,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Zhao, H.W.[Hong-Wei],
Wu, J.X.[Jia-Xin],
Zhang, D.Y.[Dan-Yang],
Liu, P.P.[Ping-Ping],
Toward Improving Image Retrieval via Global Saliency Weighted Feature,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Zhang, L.,
Luo, M.,
Liu, J.,
Chang, X.,
Yang, Y.,
Hauptmann, A.G.,
Deep Top-k Ranking for Image-Sentence Matching,
MultMed(22), No. 3, March 2020, pp. 775-785.
IEEE DOI
2003
Task analysis, Bidirectional control, Databases, Training,
Deep learning, Sports, Semantics, Image-sentence matching, top-k ranking
BibRef
Bouhlel, N.[Noura],
Feki, G.[Ghada],
Ben Ammar, A.[Anis],
Ben Amar, C.[Chokri],
Hypergraph learning with collaborative representation for image search
reranking,
MultInfoRetr(9), No. 3, September 2020, pp. 205-214.
Springer DOI
2008
BibRef
Zheng, D.,
Fan, J.,
Han, M.,
Hybrid Regularization of Diffusion Process for Visual Re-Ranking,
IP(30), 2021, pp. 3705-3719.
IEEE DOI
2103
Diffusion processes, Manifolds, Task analysis, Visualization,
Optimization, Tensors, Semisupervised learning, Diffusion process,
iterative re-ranking process
BibRef
Lao, G.H.[Gui-Hong],
Liu, S.L.[Sheng-Lan],
Tan, C.W.[Chen-Wei],
Wang, Y.[Yang],
Li, G.Z.[Guang-Zhe],
Xu, L.[Li],
Feng, L.[Lin],
Wang, F.L.[Fei-Long],
Three Degree Binary Graph and Shortest Edge Clustering for re-ranking
in multi-feature image retrieval,
JVCIR(80), 2021, pp. 103282.
Elsevier DOI
2110
Unsupervised re-ranking, Image retrieval, Multi-feature fusion, Graph learning
BibRef
Ouyang, J.B.[Jian-Bo],
Zhou, W.G.[Wen-Gang],
Wang, M.[Min],
Tian, Q.[Qi],
Li, H.Q.[Hou-Qiang],
Collaborative Image Relevance Learning for Visual Re-Ranking,
MultMed(23), 2021, pp. 3646-3656.
IEEE DOI
2110
Visualization, Image retrieval, Computational modeling,
Correlation, Feature extraction, Semantics, Deep learning,
re-ranking
BibRef
Li, P.D.[Pan-Deng],
Xie, H.T.[Hong-Tao],
Min, S.B.[Shao-Bo],
Ge, J.N.[Jian-Nan],
Chen, X.[Xun],
Zhang, Y.D.[Yong-Dong],
Deep Fourier Ranking Quantization for Semi-Supervised Image Retrieval,
IP(31), 2022, pp. 5909-5922.
IEEE DOI
2209
Quantization (signal), Semantics, Data models, Task analysis,
Convolutional neural networks, Image reconstruction,
phase mixing
BibRef
Gonçalves, F.M.F.[Filipe Marcel Fernandes],
Pedronette, D.C.G.[Daniel Carlos Guimarães],
da Silva-Torres, R.[Ricardo],
Regression by Re-Ranking,
PR(140), 2023, pp. 109577.
Elsevier DOI
2305
Regression, Re-ranking, Prediction, Manifold, Unsupervised learning
BibRef
Zhang, Y.Q.[Yu-Qi],
Qian, Q.[Qi],
Wang, H.S.[Hong-Song],
Liu, C.[Chong],
Chen, W.H.[Wei-Hua],
Wang, F.[Fan],
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval,
MultMed(26), 2024, pp. 1089-1101.
IEEE DOI
2402
Task analysis, Visualization, Image retrieval,
Representation learning, Convolution, Costs, Training,
video-based person re-identification
BibRef
Yemelianenko, T.[Tetiana],
Tkachenko, I.[Iuliia],
Masclef, T.[Tess],
Scuturici, M.[Mihaela],
Miguet, S.[Serge],
Learning to rank approach for refining image retrieval in visual arts,
eHeritage23(1615-1623)
IEEE DOI
2401
BibRef
Lee, S.H.[Seon-Ho],
Kim, C.S.[Chang-Su],
Order Learning Using Partially Ordered Data via Chainization,
ECCV22(XIII:196-211).
Springer DOI
2211
WWW Link.
BibRef
Lee, S.W.[Seong-Won],
Seong, H.[Hongje],
Lee, S.[Suhyeon],
Kim, E.T.[Eun-Tai],
Correlation Verification for Image Retrieval,
CVPR22(5364-5374)
IEEE DOI
2210
WWW Link. Convolutional codes, Representation learning, Correlation,
Image recognition, Image coding, Image retrieval, Focusing,
Representation learning
BibRef
Yang, C.A.[Chiao-An],
Wang, Z.X.[Zhi-Xiang],
Lin, Y.Y.[Yen-Yu],
Chuang, Y.Y.[Yung-Yu],
Soft Ranking Threshold Losses for Image Retrieval,
ICIP21(1339-1343)
IEEE DOI
2201
Measurement, Image processing, Image retrieval,
Image and video retrieval, deep learning
BibRef
Zeggari, A.[Ahmed],
Seghir, Z.A.[Zianou Ahmed],
Hachouf, F.[Fella],
Re-weighting features selection based on wrapper filter and genetic
algorithms for figurative images recognition,
IPRIA21(1-6)
IEEE DOI
2201
Image recognition, Image analysis, Databases, Image retrieval,
Trademarks, Filtering algorithms, Feature extraction,
content based images retrieval
BibRef
Figueroa, K.[Karina],
Camarena-Ibarrola, A.[Antonio],
Reyes, N.[Nora],
Shortening the Candidate List for Similarity Searching Using Inverted
Index,
MCPR21(89-97).
Springer DOI
2108
BibRef
Keshavarz, S.[Somayeh],
Tran, Q.N.[Quang Nhat],
Souvenir, R.[Richard],
Learning Natural Thresholds for Image Ranking,
ICPR21(8368-8375)
IEEE DOI
2105
Estimation, Image representation, Task analysis
BibRef
Kemertas, M.[Mete],
Pishdad, L.[Leila],
Derpanis, K.G.[Konstantinos G.],
Fazly, A.[Afsaneh],
RankMI: A Mutual Information Maximizing Ranking Loss,
CVPR20(14350-14359)
IEEE DOI
2008
Mutual information, Training, Neural networks, Image retrieval,
Task analysis, Estimation, Random variables
BibRef
Yokoo, S.,
Ozaki, K.,
Simo-Serra, E.,
Iizuka, S.,
Two-stage Discriminative Re-ranking for Large-scale Landmark
Retrieval,
IMW20(4363-4370)
IEEE DOI
2008
Image retrieval, Indexes, Training, Task analysis, Visualization,
Google, Pipelines
BibRef
Revaud, J.[Jerome],
Almazan, J.[Jon],
Rezende, R.[Rafael],
de Souza, C.[Cesar],
Learning With Average Precision:
Training Image Retrieval With a Listwise Loss,
ICCV19(5106-5115)
IEEE DOI
2004
Code, Image Retrieval.
WWW Link. data mining, image classification, image retrieval,
learning (artificial intelligence), object detection, Optimization
BibRef
Watanabe, H.[Hayato],
Hino, H.[Hideitsu],
Akaho, S.[Shotaro],
Murata, N.[Noboru],
Retrieved Image Refinement by Bootstrap Outlier Test,
CAIP19(I:505-517).
Springer DOI
1909
BibRef
Sánchez, J.[Jorge],
Luque, F.[Franco],
Lichtensztein, L.[Leandro],
A Structured Listwise Approach to Learning to Rank for Image Tagging,
MultLearnApp18(VI:545-559).
Springer DOI
1905
BibRef
Curado, M.,
Escolano, F.,
Lozano, M.A.,
Hancock, E.R.,
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking,
ICPR18(1366-1371)
IEEE DOI
1812
Manifolds, Laplace equations, Harmonic analysis, Absorption,
Optimization, Correlation, Minimization
BibRef
He, K.[Kun],
Cakir, F.[Fatih],
Bargal, S.A.[Sarah Adel],
Sclaroff, S.[Stan],
Hashing as Tie-Aware Learning to Rank,
CVPR18(4023-4032)
IEEE DOI
1812
Measurement, Optimization, Hamming distance, Neural networks,
Information retrieval, Time complexity, Histograms
BibRef
Chen, K.[Kan],
Bui, T.[Trung],
Fang, C.[Chen],
Wang, Z.W.[Zhao-Wen],
Nevatia, R.[Ram],
AMC:
Attention Guided Multi-modal Correlation Learning for Image Search,
CVPR17(6203-6211)
IEEE DOI
1711
Correlation, Internet, Learning systems,
Search engines, Visualization
BibRef
Bouhlel, N.[Noura],
Feki, G.[Ghada],
Ben Ammar, A.[Anis],
Ben Amar, C.[Chokri],
A Hypergraph-Based Reranking Model for Retrieving Diverse Social Images,
CAIP17(I: 279-291).
Springer DOI
1708
BibRef
Fernando, B.[Basura],
Gavves, E.[Efstratios],
Muselet, D.[Damien],
Tuytelaars, T.[Tinne],
Learning to Rank Based on Subsequences,
ICCV15(2785-2793)
IEEE DOI
1602
Image sequences
BibRef
Sharaf, A.[Amr],
Hussein, M.E.[Mohamed E.],
Ismail, M.A.[Mohamed A.],
Visual Comparison of Images Using Multiple Kernel Learning for Ranking,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Wu, H.[Hong],
Heng, X.[Xing],
Xu, Z.L.[Zeng-Lin],
Consensus Guided Multiple Match Removal for Geometry Verification in
Image Retrieval,
MMMod16(II: 130-139).
Springer DOI
1601
BibRef
Lin, B.[Bin],
Wei, A.[Ai],
Tian, X.M.[Xin-Mei],
Visual Re-ranking Through Greedy Selection and Rank Fusion,
MMMod16(I: 289-300).
Springer DOI
1601
BibRef
Schavemaker, J.[John],
Spitters, M.[Martijn],
Koot, G.[Gijs],
de Boer, M.H.T.[Maaike H. T.],
Fast Re-ranking of Visual Search Results by Example Selection,
CAIP15(I:387-398).
Springer DOI
1511
BibRef
Kim, G.[Gunhee],
Moon, S.[Seungwhan],
Sigal, L.[Leonid],
Ranking and retrieval of image sequences from multiple paragraph
queries,
CVPR15(1993-2001)
IEEE DOI
1510
BibRef
And:
Joint photo stream and blog post summarization and exploration,
CVPR15(3081-3089)
IEEE DOI
1510
BibRef
Yang, F.[Fan],
Jiang, Z.L.[Zhuo-Lin],
Davis, L.S.[Larry S.],
Submodular Reranking with Multiple Feature Modalities for Image
Retrieval,
ACCV14(I: 19-34).
Springer DOI
1504
BibRef
Yang, F.[Fan],
Matei, B.[Bogdan],
Davis, L.S.[Larry S.],
Re-ranking by Multi-feature Fusion with Diffusion for Image Retrieval,
WACV15(572-579)
IEEE DOI
1503
BibRef
Zhou, X.[Xiao],
Zhu, C.Z.[Cai-Zhi],
Zhu, Q.A.[Qi-Ang],
Satoh, S.[Shin'ichi],
Guo, Y.T.[Yu-Tang],
A practical spatial re-ranking method for instance search from videos,
ICIP14(3008-3012)
IEEE DOI
1502
Databases
BibRef
Fu, H.Y.[Hai-Yan],
Kong, X.W.[Xiang-Wei],
Guo, Y.Q.[Yan-Qing],
You, X.G.[Xin-Gang],
Zhou, L.[Linna],
Binary Code Reranking Method Based on Bit Importance,
ICPR14(2679-2684)
IEEE DOI
1412
Accuracy
BibRef
Ben-Shalom, I.[Itai],
Levy, N.[Noga],
Wolf, L.B.[Lior B.],
Dershowitz, N.[Nachum],
Ben-Shalom, A.[Adiel],
Shweka, R.[Roni],
Choueka, Y.[Yaacov],
Hazan, T.[Tamir],
Bar, Y.[Yaniv],
Congruency-Based Reranking,
CVPR14(2107-2114)
IEEE DOI
1409
clustering
BibRef
Dokania, P.K.[Puneet Kumar],
Behl, A.[Aseem],
Jawahar, C.V.,
Kumar, M.P.[M. Pawan],
Learning to Rank Using High-Order Information,
ECCV14(IV: 609-623).
Springer DOI
1408
BibRef
Lu, H.[Hong],
Jiang, G.B.[Guo-Bao],
Yang, B.H.[Bo-Hong],
Xue, X.Y.[Xiang-Yang],
An Adaptive Query Prototype Modeling Method for Image Search
Reranking,
LSVSM13(339-346)
IEEE DOI
1403
Internet
BibRef
Luo, J.[Junwu],
Lang, B.[Bo],
Efficient Geometric Re-ranking for Mobile Visual Search,
IWMV12(II:520-532).
Springer DOI
1304
BibRef
Xiao, T.[Tan],
Zhang, C.[Chao],
Zha, H.B.[Hong-Bin],
Spatial consistency based selective reranking for content based object
retrieval,
ICPR12(417-420).
WWW Link.
1302
BibRef
Mauro, M.,
Leonardi, R.,
A new ranking approach and a revisited ratio test for improving
content-based image retrieval,
ICIP12(2409-2412).
IEEE DOI
1302
BibRef
Chai, L.S.[Lun-Shao],
Qin, Z.[Zhen],
Zhang, H.G.[Hong-Gang],
Guo, J.[Jun],
Shelton, C.R.[Christian R.],
Re-ranking using compression-based distance measure for Content-based
Commercial Product Image Retrieval,
ICIP12(1941-1944).
IEEE DOI
1302
BibRef
Xu, C.[Chang],
Li, Y.X.[Yang-Xi],
Zhou, C.[Chao],
Xu, C.[Chao],
Learning to rerank images with enhanced spatial verification,
ICIP12(1933-1936).
IEEE DOI
1302
BibRef
He, J.F.[Jun-Feng],
Feng, J.Y.[Jin-Yuan],
Liu, X.L.[Xiang-Long],
Cheng, T.[Tao],
Lin, T.H.[Tai-Hsu],
Chung, H.J.[Hyun-Jin],
Chang, S.F.[Shih-Fu],
Mobile product search with Bag of Hash Bits and boundary reranking,
CVPR12(3005-3012).
IEEE DOI
1208
BibRef
Lokoc, J.[Jakub],
Approximating the Signature Quadratic Form Distance Using Scalable
Feature Signatures,
MMMod14(I: 86-97).
Springer DOI
1405
BibRef
Blažek, A.[Adam],
Lokoc, J.[Jakub],
Matzner, F.[Filip],
Skopal, T.[Tomáš],
Enhanced Signature-Based Video Browser,
MMMod15(II: 243-248).
Springer DOI
1501
BibRef
Earlier: A2, A1, A4, Only:
Signature-Based Video Browser,
MMMod14(II: 415-418).
Springer DOI
1405
BibRef
Lokoc, J.[Jakub],
Grošup, T.[Tomáš],
Skopal, T.[Tomáš],
Image exploration using online feature extraction and reranking,
ICMR12(66).
DOI Link
1301
online feature extraction and the particle
physics model.
BibRef
Wang, G.[Gang],
Xu, X.S.[Xin-Shun],
Joint-rerank: a novel method for image search reranking,
ICMR12(37).
DOI Link
1301
improve the text-based
search with other cues
BibRef
Ji, Z.[Zhong],
Su, Y.T.[Yu-Ting],
Pang, Y.W.[Yan-Wei],
Qu, X.J.[Xiao-Jie],
Diversifying the Image Relevance Reranking with Absorbing Random Walks,
ICIG11(981-986).
IEEE DOI
1109
BibRef
Yao, T.[Ting],
Mei, T.[Tao],
Ngo, C.W.[Chong-Wah],
Co-reranking by mutual reinforcement for image search,
CIVR10(34-41).
DOI Link
1007
BibRef
Tsai, S.S.[Sam S.],
Chen, D.[David],
Takacs, G.[Gabriel],
Chandrasekhar, V.[Vijay],
Vedantham, R.[Ramakrishna],
Grzeszczuk, R.[Radek],
Girod, B.[Bernd],
Fast geometric re-ranking for image-based retrieval,
ICIP10(1029-1032).
IEEE DOI
1009
BibRef
Zhang, L.[Lei],
Li, P.[Piji],
Ma, J.[Jun],
A hybrid unsupervised image re-ranking approach with latent topic
contents,
CIVR10(319-326).
DOI Link
1007
BibRef
Gao, S.H.[Sheng-Hua],
Cheng, X.G.[Xian-Gang],
Wang, H.[Huan],
Chia, L.T.[Liang-Tien],
Concept model-based unsupervised web image re-ranking,
ICIP09(793-796).
IEEE DOI
0911
BibRef
Zitouni, H.[Hilal],
Sevil, S.[Sare],
Ozkan, D.[Derya],
Duygulu, P.[Pinar],
Re-ranking of web image search results using a graph algorithm,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
User Feedback, Learning in the Query, Relevance Feedback .