20.4.3.2 User Interaction, Relevance Feedback, External Information

Rui, Y.[Yong], Huang, T.S.[Thomas S.], Ortega, M.[Michael], Mehrotra, S.[Sharad],
Relevance Feedback: A Power Tool for Interactive Content-Based Image Retrieval,
CirSysVideo(8), No. 5, September 1998, pp. 644-655.
IEEE Top Reference. 9810
BibRef
Earlier: A1, A2, A4, A3:
Automatic Matching Tool Selection Using Relevance Feedback in MARS,
Visual97(xx). BibRef
And:
A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems,
CBAIVL97(82).
IEEE DOI 9706
BibRef

Dagli, C.K.[Charlie K.], Huang, T.S.[Thomas S.],
A framework for grid-based image retrieval,
ICPR04(II: 1021-1024).
IEEE DOI 0409
BibRef

Dagli, C.K.[Charlie K.], Rajaram, S.[Shyamsundar], Huang, T.S.[Thomas S.],
Utilizing Information Theoretic Diversity for SVM Active Learn,
ICPR06(II: 506-511).
IEEE DOI 0609
BibRef
And:
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure,
CIVR06(123-132).
Springer DOI 0607

See also Active Learning for Interactive Multimedia Retrieval. BibRef

Nakazato, M., Dagli, C.K.[Charlie K.], Huang, T.S.[Thomas S.],
Evaluating group-based relevance feedback for content-based image retrieval,
ICIP03(II: 599-602).
IEEE DOI 0312
BibRef

Rui, Y.[Yong], Huang, T.S.[Thomas S.],
Learning Based Relevance Feedback in Image Retrieval,
AIPU02(163-182). 0905
BibRef
Earlier:
Optimizing Learning in Image Retrieval,
CVPR00(I: 236-243).
IEEE DOI 0005
Learning. BibRef

Grigorova, A., de Natale, F.G.B., Dagli, C.K., Huang, T.S.,
Content-Based Image Retrieval by Feature Adaptation and Relevance Feedback,
MultMed(9), No. 6, October 2007, pp. 1183-1192.
IEEE DOI 0905
BibRef

Rui, Y., Huang, T.S., and Mehrotra, S.[Sharad],
Content-Based Image Retrieval with Relevance Feedback in MARS,
ICIP97(II: 815-818).
IEEE DOI BibRef 9700

Zhou, X.S.[Xiang Sean], Huang, T.S.[Thomas S.],
Relevance feedback in content-based image retrieval: Some recent advances,
IS(148), No. 1-4, December 2002, pp. 129-137.
Elsevier DOI BibRef 0212 Survey, Relevance Feedback BibRef
Earlier:
Exploring the Nature and Variants of Relevance Feedback,
CBAIVL01(94).
IEEE DOI 0110
BibRef
Earlier:
Image Retrieval: Feature Primitives, Feature Representation, and Relevance Feedback,
CBAIVL00(10-14). 0008
BibRef

Zhou, X.S.[Xiang Sean], Huang, T.S.[Thomas S.],
Relevance Feedback for Image Retrieval: A Comprenhensive Review,
MultSys(8), No. 6, 2003, pp. 536-544. BibRef 0300
Earlier:
Small Sample Learning during Multimedia Retrieval Using BiasMap,
CVPR01(I:11-17).
IEEE DOI 0110
BibRef
And: A2, A1:
Image Retrieval with Relevance Feedback: From Heuristic Weight Adjustment to Optimal Learning Methods,
ICIP01(III: 2-5).
IEEE DOI 0108
Video retrieval. Mostly the user interaction module, assumes the features have been computed. BibRef

Chen, Y., Zhou, X.S., Huang, T.S.,
One-class SVM for Learning in Image Retrieval,
ICIP01(I: 34-37).
IEEE DOI 0108
BibRef

Wu, Y.[Ying], Tian, Q.[Qi], Huang, T.S.,
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback,
ICPR00(Vol I: 21-24).
IEEE DOI 0009
BibRef

Rui, Y.[Yong], Qi, G.J.[Guo-Jun],
Learning Concepts by Modeling Relationships,
MCAM07(5-13).
Springer DOI 0706
BibRef

Wang, Z.W.[Zhao-Wen], Yang, J.C.[Jian-Chao], Lin, Z.[Zhe], Brandt, J.[Jonathan], Chang, S.Y.[Shi-Yu], Huang, T.S.[Thomas S.],
Scalable Similarity Learning Using Large Margin Neighborhood Embedding,
WACV15(464-471)
IEEE DOI 1503
Accuracy. Large scale data into categories. BibRef

Qi, G.J.[Guo-Jun], Aggarwal, C.[Charu], Rui, Y.[Yong], Tian, Q.[Qi], Chang, S.Y.[Shi-Yu], Huang, T.S.[Thomas S.],
Towards cross-category knowledge propagation for learning visual concepts,
CVPR11(897-904).
IEEE DOI 1106
BibRef

Qi, G.J.[Guo-Jun], Tian, Q.[Qi], Huang, T.S.[Thomas S.],
Locality-sensitive support vector machine by exploring local correlation and global regularization,
CVPR11(841-848).
IEEE DOI 1106
BibRef

Tian, Q.[Qi], Hong, P.Y.[Peng-Yu], Huang, T.S.[Thomas S.],
Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines,
ICME00(TP11). 0007
BibRef
And: A2, A1, A3:
Incorporate support vector machines to content-based image retrieval with relevance feedback,
ICIP00(Vol III: 750-753).
IEEE DOI 0008
BibRef

Arbel, T.[Tal], Ferrie, F.P.[Frank P.],
Interactive Visual Dialog,
IVC(20), No. 9-10, August 2002, pp. 639-646.
Elsevier DOI 0208
BibRef
Earlier: BMVC00(xx-yy).
PDF File. 0009
BibRef

King, I.[Irwin], Jin, Z.[Zhong],
Integrated probability function and its application to content-based image retrieval by relevance feedback,
PR(36), No. 9, September 2003, pp. 2177-2186.
Elsevier DOI 0307
BibRef

Yang, J.[Jun], Li, Q.[Qing], Zhuang, Y.T.[Yue-Ting],
Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing,
IJCV(56), No. 1-2, January-February 2004, pp. 47-63.
DOI Link 0401
BibRef

Yang, Y.[Yi], Nie, F.P.[Fei-Ping], Xu, D.[Dong], Luo, J.B.[Jie-Bo], Zhuang, Y.T.[Yue-Ting], Pan, Y.H.[Yun-He],
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback,
PAMI(34), No. 4, April 2012, pp. 723-742.
IEEE DOI 1203
multimedia data and user feedback. BibRef

Wu, F.[Fei], Jiang, X.Y.[Xin-Yang], Li, X.[Xi], Tang, S.L.[Si-Liang], Lu, W.M.[Wei-Ming], Zhang, Z.F.[Zhong-Fei], Zhuang, Y.T.[Yue-Ting],
Cross-Modal Learning to Rank via Latent Joint Representation,
IP(24), No. 5, May 2015, pp. 1497-1509.
IEEE DOI 1504
data structures. Cross media retrieval. BibRef

Zhuang, Y.T.[Yue-Ting], Yang, J.[Jun], Li, Q.[Qing], Pan, Y.H.[Yun-He],
A graphic-theoretic model for incremental relevance feedback in image retrieval,
ICIP02(I: 413-416).
IEEE DOI 0210
BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.],
Generalized nonlinear relevance feedback for interactive content-based retrieval and organization,
CirSysVideo(14), No. 5, May 2004, pp. 656-671.
IEEE Abstract. 0407
BibRef
Earlier:
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems,
ICIP03(I: 737-740).
IEEE DOI 0312
BibRef

Doulamis, A.D.[Anastasios D.], Doulamis, N.D.[Nikolaos D.], Varvarigou, T.A.[Theodora A.],
Efficient Content-based Image Retrieval Using Fuzzy Organization And Optimal Relevance Feedback,
IJIG(3), No. 1, January 2003, pp. 171-208. 0301
BibRef

Chatzis, S.[Sotirios], Doulamis, A.D.[Anastasios D.], Varvarigou, T.A.[Theodora A.],
A content-based image retrieval scheme allowing for robust automatic personalization,
CIVR07(1-8).
DOI Link 0707
BibRef

Doulamis, N.D., Doulamis, A.D.,
Optimal recursive similarity measure estimation for interactive content-based image retrieval,
ICIP02(I: 972-975).
IEEE DOI 0210
BibRef
Earlier:
A Recursive Optimal Relevance Feedback Scheme for Content Based Image Retrieval,
ICIP01(II: 741-744).
IEEE DOI 0108
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.],
Evaluation of relevance feedback schemes in content-based in retrieval systems,
SP:IC(20), No. 4, April 2006, pp. 334-357.
Elsevier DOI Keywords: Relevance feedback; Content-based retrieval; Optimization 0605
BibRef

Doulamis, N.D.[Nikolaos D.], Doulamis, A.D.[Anastasios D.], Kollias, S.D.[Stefanos D.],
Non-Linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems,
ICME00(MP5). 0007
BibRef

Kushki, A., Androutsos, P., Plataniotis, K.N., Venetsanopoulos, A.N.,
Query feedback for interactive image retrieval,
CirSysVideo(14), No. 5, May 2004, pp. 644-655.
IEEE Abstract. 0407

See also Retrieval of Images from Artistic Repositories Using a Decision Fusion Framework. BibRef

Lee, I.[Ivan], Muneesawang, P.[Paisarn], Guan, L.[Ling],
Automatic Relevance Feedback for Distributed Content-Based Image Retrieval,
GVIP(05), No. V4, 2005, pp. xx-yy
HTML Version. BibRef 0500

Muneesawang, P., Guan, L.[Ling],
Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval,
ICIP02(II: 601-604).
IEEE DOI 0210
BibRef
Automatic Similarity Learning Using SOTM for CBIR of the WT/VQ Coded Images,
ICIP01(II: 749-752).
IEEE DOI 0108
BibRef
Earlier:
Multiresolution-histogram Indexing and Relevance Feedback Learning for Image Retrieval,
ICIP00(Vol II: 526-529).
IEEE DOI 0008
BibRef

Jarrah, K.[Kambiz], Guan, L.[Ling],
Content-based image retrieval via distributed databases,
CIVR08(389-394). 0807
BibRef

Yap, K.H.[Kim-Hui], Wu, K.[Kui],
A soft relevance framework in content-based image retrieval systems,
CirSysVideo(15), No. 12, December 2005, pp. 1557-1568.
IEEE DOI 0601
BibRef

Wang, Z.Y.[Zhi-Yong], Chi, Z.[Zheru], Feng, D.D.[David Dagan], Tsoi, A.C.[Ah Chung],
Content-based Image Retrieval With Relevance Feedback Using Adaptive Processing Of Tree-structure Image Representation,
IJIG(3), No. 1, January 2003, pp. 119-143. 0301
BibRef

Zhang, L.[Lelin], Liu, S.D.[Si-Dong], Wang, Z.Y.[Zhi-Yong], Cai, W.D.[Wei-Dong], Song, Y.[Yang], Feng, D.D.[David Dagan],
Graph cuts based relevance feedback in image retrieval,
ICIP13(4358-4362)
IEEE DOI 1412
Content-based image retrieval BibRef

Yager, R.R.[Ronald R.], Petry, F.E.[Frederick E.],
A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic,
IS(173), No. 4, 23 June 2005, pp. 337-352.
Elsevier DOI 0905
BibRef

Li, J.[Jing], Yuan, Y.[Yuan],
Kernel GBDA for Relevance Feedback in Image Retrieval,
IJIG(7), No. 4, October 2007, pp. 767-776. 0710
BibRef

Jaimes, A.[Alejandro], Chang, S.F.[Shih-Fu],
Learning Structured Visual Detectors From User Input At Multiple Levels,
IJIG(1), No. 3, July 2001, pp. 415-444. 0107
BibRef

Arevalillo-Herraez, M.[Miguel], Zacares, M.[Mario], Benavent, X.[Xaro], de Ves, E.[Esther],
A relevance feedback CBIR algorithm based on fuzzy sets,
SP:IC(23), No. 7, August 2008, pp. 490-504.
Elsevier DOI 0804
CBIR; Fuzzy sets; Relevance feedback BibRef

Arevalillo-Herraez, M.[Miguel], Domingo, J.[Juan], Ferri, F.J.[Francesc J.],
Combining similarity measures in content-based image retrieval,
PRL(29), No. 16, 1 December 2008, pp. 2174-2181.
Elsevier DOI 0811
CBIR; Combining descriptors; Similarity function; Score normalization; Probabilistic BibRef

Arevalillo-Herraez, M.[Miguel], Ferri, F.J.[Francesc J.], Domingo, J.[Juan],
A naive relevance feedback model for content-based image retrieval using multiple similarity measures,
PR(43), No. 3, March 2010, pp. 619-629.
Elsevier DOI 1001
BibRef
Earlier:
Learning combined similarity measures from user data for image retrieval,
ICPR08(1-4).
IEEE DOI 0812
Content-based image retrieval; Relevance feedback; Similarity combination BibRef

Arevalillo-Herráez, M.[Miguel], Ferri, F.J.[Francesc J.], Moreno-Picot, S.[Salvador],
Improving distance based image retrieval using non-dominated sorting genetic algorithm,
PRL(53), No. 1, 2015, pp. 109-117.
Elsevier DOI 1502
Image retrieval BibRef

López-Iñesta, E.[Emilia], Grimaldo, F.[Francisco], Arevalillo-Herráez, M.[Miguel],
Combining feature extraction and expansion to improve classification based similarity learning,
PRL(93), No. 1, 2017, pp. 95-103.
Elsevier DOI 1706
Classification BibRef

Moreno-Picot, S.[Salvador], Ferri, F.J.[Francesc J.], Arevalillo-Herráez, M.[Miguel],
A NSGA Based Approach for Content Based Image Retrieval,
CIARP13(I:359-366).
Springer DOI 1311
BibRef

Arevalillo-Herráez, M.[Miguel], Ferri, F.J.[Francesc J.],
An improved distance-based relevance feedback strategy for image retrieval,
IVC(31), No. 10, 2013, pp. 704-713.
Elsevier DOI 1310
CBIR BibRef

Amato, A.[Alberto], di Lecce, V.[Vincenzo],
A knowledge based approach for a fast image retrieval system,
IVC(26), No. 11, 1 November 2008, pp. 1466-1480.
Elsevier DOI 0804
Knowledge; Multi-query relevance feedback; Image retrieval; Fuzzy clustering BibRef

Kim, W.C.[Woo-Cheol], Song, J.Y.[Ji-Young], Kim, S.W.[Seung-Woo], Park, S.H.[Sang-Hyun],
Image retrieval model based on weighted visual features determined by relevance feedback,
IS(178), No. 22, November, 2008, pp. 4301-4313.
Elsevier DOI 0905
BibRef

Marakakis, A., Galatsanos, N.P.[Nikolaos P.], Likas, A.[Aristidis], Stafylopatis, A.,
Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models,
IET-IPR(3), No. 1, February 2009, pp. 10-25.
DOI Link 0905
BibRef

Marakakis, A., Siolas, G., Galatsanos, N.P., Likas, A., Stafylopatis, A.,
Relevance feedback approach for image retrieval combining support vector machines and adapted gaussian mixture models,
IET-IPR(5), No. 6, 2011, pp. 531-540.
DOI Link 1108
BibRef

Azimi-Sadjadi, M.R., Salazar, J., Srinivasan, S.,
An Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective Sampling,
IP(18), No. 7, July 2009, pp. 1645-1659.
IEEE DOI 0906
BibRef

Rahman, M.M.[M. Mahmudur], Bhattacharya, P.[Prabir], Desai, B.C.[Bipin C.],
A unified image retrieval framework on local visual and semantic concept-based feature spaces,
JVCIR(20), No. 7, October 2009, pp. 450-462.
Elsevier DOI 0909
BibRef
Earlier:
Probabilistic Similarity Measures in Image Databases with SVM Based Categorization and Relevance Feedback,
ICIAR05(601-608).
Springer DOI 0509
Content-based image retrieval; Learning methods; Classification; Self-organizing map; Support vector machine; Relevance feedback; Similarity fusion BibRef

Yang, Y.[Yi], Wu, F.[Fei], Xu, D.[Dong], Zhuang, Y.T.[Yue-Ting], Chia, L.T.[Liang-Tien],
Cross-media retrieval using query dependent search methods,
PR(43), No. 8, August 2010, pp. 2927-2936.
Elsevier DOI 1006
Content-based multimedia retrieval; Relevance feedback; Multimedia document; Query expansion BibRef

Hu, B.K.[Bao-Kun], Liu, Y.S.[Yu-Sheng], Gao, S.M.[Shu-Ming], Sun, R.[Rui], Xian, C.H.[Chu-Hua],
Parallel relevance feedback for 3D model retrieval based on fast weighted-center particle swarm optimization,
PR(43), No. 8, August 2010, pp. 2950-2961.
Elsevier DOI 1006
Relevance feedback; Parallelism; 3D model retrieval; Particle swarm optimization; Information retrieval BibRef

Broilo, M.[Mattia], de Natale, F.G.B.[Francesco G.B.],
A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization,
MultMed(12), No. 4, 2010, pp. 267-277.
IEEE DOI 1006
BibRef
Earlier:
Evolutionary image retrieval,
ICIP09(1845-1848).
IEEE DOI 0911
BibRef

Rota Bulo, S.[Samuel], Rabbi, M.[Massimo], Pelillo, M.[Marcello],
Content-based image retrieval with relevance feedback using random walks,
PR(44), No. 9, September 2011, pp. 2109-2122.
Elsevier DOI 1106
Random walks; Content-based image retrieval; Relevance feedback BibRef

Zagoris, K.[Konstantinos], Ergina, K.[Kavallieratou], Papamarkos, N.[Nikos],
Image retrieval systems based on compact shape descriptor and relevance feedback information,
JVCIR(22), No. 5, July 2011, pp. 378-390.
Elsevier DOI 1106
Retrieval system; Document retrieval; Handwritten words; Word spotting; MPEG-7; Relevance feedback; Support Vector Machines; Shape BibRef

Lughofer, E.[Edwin],
Hybrid active learning for reducing the annotation effort of operators in classification systems,
PR(45), No. 2, February 2012, pp. 884-896.
Elsevier DOI 1110
Active learning; Reduction of annotation effort; Unsupervised selection criteria; Certainty-based selection; On-line update of classifiers BibRef

Daras, P.[Petros], Manolopoulou, S.[Stavroula], Axenopoulos, A.[Apostolos],
Search and Retrieval of Rich Media Objects Supporting Multiple Multimodal Queries,
MultMed(14), No. 3, 2012, pp. 734-746.
IEEE DOI 1202
BibRef
And: A3, A2, A1:
Optimizing Multimedia Retrieval Using Multimodal Fusion and Relevance Feedback Techniques,
MMMod12(716-727).
Springer DOI 1201
BibRef

Lazaridis, M.[Michalis], Axenopoulos, A.[Apostolos], Rafailidis, D.[Dimitrios], Daras, P.[Petros],
Multimedia search and retrieval using multimodal annotation propagation and indexing techniques,
SP:IC(28), No. 4, April 2013, pp. 351-367.
Elsevier DOI 1304
Multimodal search and retrieval; Multimedia indexing; Annotation propagation; Hubness BibRef

Chen, Z.[Zeng], Hou, J.[Jin], Zhang, D.S.[Deng-Sheng], Qin, X.[Xue],
An annotation rule extraction algorithm for image retrieval,
PRL(33), No. 10, 15 July 2012, pp. 1257-1268.
Elsevier DOI 1205
Annotation rules; Support vector machine; Decision tree; Automatic image annotation; Image retrieval BibRef

Su, Y.[Yu], Jurie, F.[Frédéric],
Improving Image Classification Using Semantic Attributes,
IJCV(100), No. 1, October 2012, pp. 59-77.
WWW Link. 1208
BibRef
And:
Learning Compact Visual Attributes for Large-Scale Image Classification,
WPA12(III: 51-60).
Springer DOI 1210
BibRef

Su, Y.[Yu], Allan, M.[Moray], Jurie, F.[Frederic],
Improving object classification using semantic attributes,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Krapac, J.[Josip], Verbeek, J.[Jakob], Jurie, F.[Frederic],
Learning Tree-structured Quantizers for Image Categorization,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Krapac, J.[Josip], Allan, M.[Moray], Verbeek, J.[Jakob], Jurie, F.[Frederic],
Improving web image search results using query-relative classifiers,
CVPR10(1094-1101).
IEEE DOI 1006
BibRef

Temmermans, F., Dufaux, F., Schelkens, P.,
JPSearch: Metadata Interoperability During Image Exchange,
SPMag(29), No. 5, 2012, pp. 134-139.
IEEE DOI 1209
Standards in a Nutshell. For searching JPEG. BibRef

Li, Y., Geng, B., Tao, D., Zha, Z.J., Yang, L., Xu, C.,
Difficulty Guided Image Retrieval Using Linear Multiple Feature Embedding,
MultMed(14), No. 6, 2012, pp. 1618-1630.
IEEE DOI 1212
BibRef

Shi, M., Xu, R., Tao, D., Xu, C.,
W-Tree Indexing for Fast Visual Word Generation,
IP(22), No. 3, March 2013, pp. 1209-1222.
IEEE DOI 1301
BibRef

Gao, Y., Shi, M., Tao, D., Xu, C.,
Database Saliency for Fast Image Retrieval,
MultMed(17), No. 3, March 2015, pp. 359-369.
IEEE DOI 1502
Image retrieval BibRef

Zhang, J.[Jun], Ye, L.[Lei], Xiang, Y.[Yang], Zhou, W.L.[Wan-Lei],
Robust image retrieval with hidden classes,
CVIU(117), No. 6, June 2013, pp. 670-679.
Elsevier DOI 1304
Content-based image retrieval; Hidden classes; Robust image retrieval; Image classification; Novel query detection BibRef

Temmermans, F.[Frederik], Döller, M.[Mario], Vanhamel, I.[Iris], Jansen, B.[Bart], Munteanu, A.[Adrian], Schelkens, P.[Peter],
JPSearch: An answer to the lack of standardization in mobile image retrieval,
SP:IC(28), No. 4, April 2013, pp. 386-401.
Elsevier DOI 1304
Interoperability; Standardization; JPSearch; Mobile search Standards for how mobile devices code content about the loction, etc. BibRef

Ciocca, G.[Gianluigi], Cusano, C.[Claudio], Santini, S.[Simone], Schettini, R.[Raimondo],
On the use of supervised features for unsupervised image categorization: An evaluation,
CVIU(122), No. 1, 2014, pp. 155-171.
Elsevier DOI 1404
BibRef
Earlier:
Prosemantic Image Retrieval,
ECCVDemos12(III: 643-646).
Springer DOI 1210
Unsupervised image categorization BibRef

Ciocca, G.[Gianluigi], Schettini, R.[Raimondo],
A content-based retrieval system with a customizable 3D output visualizer,
3DPVT02(746-749).
IEEE DOI 0206
BibRef

Alamdar, F.[Fatemeh], Keyvanpour, M.R.[Mohammad Reza],
Effective browsing of image search results via diversified visual summarization by clustering and refining clusters,
SIViP(8), No. 4, May 2014, pp. 699-721.
WWW Link. 1404
BibRef

Yue, Z.[Zhen], Han, S.G.[Shu-Guang], He, D.Q.[Da-Qing], Jiang, J.[Jiepu],
Influences on Query Reformulation in Collaborative Web Search,
Computer(47), No. 3, March 2014, pp. 46-53.
IEEE DOI 1404
Internet BibRef

Zhang, Y.D.[Yong-Dong], Wang, Y.[Yu], Tang, S.[Sheng], Hoi, S.C.H.[Steven C.H.], Li, J.T.[Jin-Tao],
FSpH: Fitted spectral hashing for efficient similarity search,
CVIU(124), No. 1, 2014, pp. 3-11.
Elsevier DOI 1406
Spectral hashing BibRef

Zhang, L.[Lei], Gu, X.G.[Xiao-Guang], Zhang, Y.D.[Yong-Dong], Zhang, D.M.[Dong-Ming], Li, J.T.[Jin-Tao],
A pivot-based filtering algorithm for enhancing query performance of LSH,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Lin, Z.J.[Zi-Jia], Ding, G.G.[Gui-Guang], Hu, M.Q.[Ming-Qing], Lin, Y.Z.[Yun-Zhen], Ge, S.Z.S.[Shu-Zhi Sam],
Image tag completion via dual-view linear sparse reconstructions,
CVIU(124), No. 1, 2014, pp. 42-60.
Elsevier DOI 1406
Image tag completion BibRef

Lin, Z.J.[Zi-Jia], Ding, G.G.[Gui-Guang], Hu, M.Q.[Ming-Qing], Wang, J.M.[Jian-Min], Ye, X.J.[Xiao-Jun],
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions,
CVPR13(1618-1625)
IEEE DOI 1309
image tag completion; linear sparse reconstruction. User tags are incomplete. BibRef

Tolias, G.[Giorgos], Jégou, H.[Hervé],
Visual query expansion with or without geometry: Refining local descriptors by feature aggregation,
PR(47), No. 10, 2014, pp. 3466-3476.
Elsevier DOI 1406
Image retrieval BibRef

Xie, H., Zhang, Y., Tan, J., Guo, L., Li, J.,
Contextual Query Expansion for Image Retrieval,
MultMed(16), No. 4, June 2014, pp. 1104-1114.
IEEE DOI 1407
Accuracy BibRef

Amiri, S.H.[S. Hamid], Jamzad, M.[Mansour],
Automatic image annotation using semi-supervised generative modeling,
PR(48), No. 1, 2015, pp. 174-188.
Elsevier DOI 1410
Image annotation BibRef

Amiri, S.H.[S. Hamid], Jamzad, M.[Mansour],
Efficient multi-modal fusion on supergraph for scalable image annotation,
PR(48), No. 7, 2015, pp. 2241-2253.
Elsevier DOI 1504
Image annotation BibRef

Saboorian, M.M.[Mohammad Mehdi], Jamzad, M.[Mansour], Rabiee, H.R.[Hamid R.],
User Adaptive Clustering for Large Image Databases,
ICPR10(4271-4274).
IEEE DOI 1008
BibRef

Amiri, S.H.[S. Hamid], Jamzad, M.[Mansour],
Leveraging multi-modal fusion for graph-based image annotation,
JVCIR(55), 2018, pp. 816-828.
Elsevier DOI 1809
Image annotation, Tag, Manifold, Multi-modal representation, Graph-based learning, Supergraph BibRef

Kofler, C., Yang, L.J.[Lin-Jun], Larson, M., Mei, T.[Tao], Hanjalic, A., Li, S.P.[Shi-Peng],
Predicting Failing Queries in Video Search,
MultMed(16), No. 7, November 2014, pp. 1973-1985.
IEEE DOI 1411
Internet BibRef

Bianco, S.[Simone], Ciocca, G.[Gianluigi], Napoletano, P.[Paolo], Schettini, R.[Raimondo],
An interactive tool for manual, semi-automatic and automatic video annotation,
CVIU(131), No. 1, 2015, pp. 88-99.
Elsevier DOI 1412
Interactive video annotation BibRef

Lakshmi, A., Nema, M., Rakshit, S.,
Long Term Relevance Feedback: A Probabilistic Axis Re-Weighting Update Scheme,
SPLetters(22), No. 7, July 2015, pp. 852-856.
IEEE DOI 1412
content-based retrieval BibRef

Leng, B.[Biao], Zeng, J.B.[Jia-Bei], Yao, M.[Ming], Xiong, Z.[Zhang],
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IEEE DOI 1502
feature extraction BibRef

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Multimedia Search: From Relevance to Usefulness,
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multimedia BibRef

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Scalable Mobile Image Retrieval by Exploring Contextual Saliency,
IP(24), No. 6, June 2015, pp. 1709-1721.
IEEE DOI 1504
Feature extraction BibRef

Xue, Y.[Yao], Qian, X.M.[Xue-Ming],
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IEEE DOI 1302
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Tan, X., Wu, F., Li, X., Tang, S., Lu, W., Zhuang, Y.,
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MultMed(17), No. 5, May 2015, pp. 660-673.
IEEE DOI 1505
Equations BibRef

Lu, S., Mei, T., Wang, J., Zhang, J., Wang, Z., Li, S.,
Exploratory Product Image Search With Circle-to-Search Interaction,
CirSysVideo(25), No. 7, July 2015, pp. 1190-1202.
IEEE DOI 1507
Context BibRef

Kovashka, A.[Adriana], Grauman, K.[Kristen],
Discovering Attribute Shades of Meaning with the Crowd,
IJCV(114), No. 1, August 2015, pp. 56-73.
Springer DOI 1508
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Earlier:
Attribute Pivots for Guiding Relevance Feedback in Image Search,
ICCV13(297-304)
IEEE DOI 1403
BibRef
And:
Attribute Adaptation for Personalized Image Search,
ICCV13(3432-3439)
IEEE DOI 1403
active selection. attributes; domain adaptation; image retrieval; personalization BibRef

Guimarães Pedronette, D.C.[Daniel Carlos], Calumby, R.[Rodrigo], da Silva Torres, R.[Ricardo],
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval,
JIVP(2015), No. 1, 2015, pp. 27.
DOI Link 1508
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Ishikawa, E.[Erina], Kawashima, H.[Hiroaki], Matsuyama, T.[Takashi],
Using Designed Structure of Visual Content to Understand Content-Browsing Behavior,
IEICE(E98-D), No. 8, August 2015, pp. 1526-1535.
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Madhusudhanarao, T.V., Pallam Setty, S., Srinivas, Y.,
Content-based image retrievals based on generalised gamma distribution and relevance feedback mechanism,
IJCVR(5), No. 3, 2015, pp. 271-281.
DOI Link 1509
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Chen, Y., Chen, T., Liu, T., Liao, H.M., Chang, S.,
Assistive Image Comment Robot: A Novel Mid-Level Concept-Based Representation,
AffCom(6), No. 3, July 2015, pp. 298-311.
IEEE DOI 1509
Correlation BibRef

Wang, Y.C.[Yu-Chen], Han, C.C.[Chin-Chuan], Hsieh, C.T., Chen, Y.N., Fan, K.C.[Kuo-Chin],
Biased Discriminant Analysis With Feature Line Embedding for Relevance Feedback-Based Image Retrieval,
MultMed(17), No. 12, December 2015, pp. 2245-2258.
IEEE DOI 1512
Learning systems BibRef

Wang, Y.C.[Yu-Chen], Han, C.C.[Chin-Chuan], Lee, C.H.[Chang-Hsing], Fan, K.C.[Kuo-Chin],
Biased discriminant analysis with feature line embedding for interactive image retrieval,
MVA15(1-4)
IEEE DOI 1507
Feature extraction BibRef

Zhang, S.L.[Shi-Liang], Yang, M.[Ming], Wang, X.Y.[Xiao-Yu], Lin, Y.Q.[Yuan-Qing], Tian, Q.[Qi],
Semantic-Aware Co-Indexing for Image Retrieval,
PAMI(37), No. 12, December 2015, pp. 2573-2587.
IEEE DOI 1512
BibRef
Earlier: ICCV13(1673-1680)
IEEE DOI 1403
content-based retrieval. Image retrieval; co-indexing; object recognition; vocabulary tree BibRef

Mironica, I.[Ionut], Ionescu, B.[Bogdan], Uijlings, J.[Jasper], Sebe, N.[Nicu],
Fisher Kernel Temporal Variation-based Relevance Feedback for video retrieval,
CVIU(143), No. 1, 2016, pp. 38-51.
Elsevier DOI 1601
Relevance feedback BibRef

Zhang, L., Shum, H.P.H., Shao, L.,
Discriminative Semantic Subspace Analysis for Relevance Feedback,
IP(25), No. 3, March 2016, pp. 1275-1287.
IEEE DOI 1602
Decision support systems BibRef

Kasamwattanarote, S.[Siriwat], Uchida, Y.[Yusuke], Satoh, S.[Shin'ichi],
Query Bootstrapping: A Visual Mining Based Query Expansion,
IEICE(E99-D), No. 2, February 2016, pp. 454-466.
WWW Link. 1604
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Sami, T.[Tasnim], Mohammed, N.[Nabeel], Momen, S.[Sifat],
Learning 'initial feature weights' for CBIR using query augmentation,
MultInfoRetr(5), No. 2, June 2016, pp. 125-132.
WWW Link. 1605
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Sejal, D., Abhishek, D., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.,
IR_URFS_VF: image recommendation with user relevance feedback session and visual features in vertical image search,
MultInfoRetr(5), No. 4, November 2016, pp. 255-264.
Springer DOI 1612
BibRef

Sejal, D., Ganeshsingh, T., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.,
ACSIR: ANOVA Cosine Similarity Image Recommendation in vertical search,
MultInfoRetr(6), No. 2, June 2017, pp. 143-154.
Springer DOI 1708
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Xiong, C.M.[Cai-Ming], Johnson, D.M.[David M.], Corso, J.J.[Jason J.],
Active Clustering with Model-Based Uncertainty Reduction,
PAMI(39), No. 1, January 2017, pp. 5-17.
IEEE DOI 1612
incorporating side information provided via human expertise. Clustering algorithms BibRef

Cakir, F.[Fatih], Bargal, S.A.[Sarah Adel], Sclaroff, S.[Stan],
Online supervised hashing,
CVIU(156), No. 1, 2017, pp. 162-173.
Elsevier DOI 1702
BibRef
Earlier: A1, A3, Only:
Adaptive Hashing for Fast Similarity Search,
ICCV15(1044-1052)
IEEE DOI 1602
BibRef
Earlier: A1, A3, Only:
Online supervised hashing,
ICIP15(2606-2610)
IEEE DOI 1512
Hashing. Benchmark testing. Hashing; indexing; retrieval; similarity search BibRef

Cakir, F.[Fatih], He, K.[Kun], Sclaroff, S.[Stan],
Hashing with Binary Matrix Pursuit,
ECCV18(VI: 344-361).
Springer DOI 1810
BibRef

Cakir, F.[Fatih], He, K.[Kun], Bargal, S.A.[Sarah Adel], Sclaroff, S.[Stan],
MIHash: Online Hashing with Mutual Information,
ICCV17(437-445)
IEEE DOI 1802
binary codes, file organisation, gradient methods, image retrieval, learning (artificial intelligence), stochastic processes, Stochastic processes BibRef

Zhu, S.H.[Song-Hao], Jin, D.L.[Dong-Liang], Liang, Z.W.[Zhi-Wei], Wang, Q.A.[Qi-Ang], Sun, Y.J.[Ya-Jie], Xu, G.Z.[Guo-Zheng],
Integration of semantic and visual hashing for image retrieval,
JVCIR(44), No. 1, 2017, pp. 229-235.
Elsevier DOI 1703
Image retrieval BibRef

Soleymani, M.[Mohammad], Riegler, M.[Michael], Halvorsen, P.[Pål],
Multimodal analysis of user behavior and browsed content under different image search intents,
MultInfoRetr(8), No. 1, March 2018, pp. 29-41.
WWW Link. 1802
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Henning, C.[Christian], Ewerth, R.[Ralph],
Estimating the information gap between textual and visual representations,
MultInfoRetr(8), No. 1, March 2018, pp. 43-56.
Springer DOI 1802
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Wang, Y.X.[Ya-Xiong], Zhu, L.[Li], Qian, X.M.[Xue-Ming], Han, J.W.[Jun-Wei],
Joint Hypergraph Learning for Tag-Based Image Retrieval,
IP(27), No. 9, September 2018, pp. 4437-4451.
IEEE DOI 1807
feature extraction, graph theory, image retrieval, learning (artificial intelligence), relevance feedback, visual feature BibRef

Wu, H.[Hao], Li, Y.L.[Yue-Li], Bi, X.H.[Xiao-Han], Zhang, L.[Linna], Bie, R.F.[Rong-Fang], Wang, Y.Z.[Ying-Zhuo],
Joint entropy based learning model for image retrieval,
JVCIR(55), 2018, pp. 415-423.
Elsevier DOI 1809
joint entropy, learning instance, image retrieval, watershed segmentation, precise-recall curve, AP value, AUC value BibRef

Yang, J.F.[Ju-Feng], Liang, J.[Jie], Shen, H.[Hui], Wang, K.[Kai], Rosin, P.L.[Paul L.], Yang, M.H.[Ming-Hsuan],
Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval,
IP(27), No. 11, November 2018, pp. 5288-5302.
IEEE DOI 1809
feature extraction, feedforward neural nets, image classification, image matching, image representation, dynamic match kernel BibRef

Zhang, J.[Jian], Peng, Y.X.[Yu-Xin],
Query-Adaptive Image Retrieval by Deep-Weighted Hashing,
MultMed(20), No. 9, September 2018, pp. 2400-2414.
IEEE DOI 1809
file organisation, image retrieval, learning (artificial intelligence), probability, image retrieval BibRef

Zhang, J.[Jian], Peng, Y.X.[Yu-Xin],
SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval,
CirSysVideo(29), No. 1, January 2019, pp. 212-225.
IEEE DOI 1901
Semantics, Data structures, Training, Feature extraction, Binary codes, Convolutional codes, Image retrieval, underlying data structures
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Wei, X.S.[Xiu-Shen], Shen, Y.[Yang], Sun, X.H.[Xu-Hao], Wang, P.[Peng], Peng, Y.X.[Yu-Xin],
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval,
PAMI(45), No. 11, November 2023, pp. 13904-13920.
IEEE DOI 2310
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Shen, Y.[Yang], Sun, X.[Xuhao], Wei, X.S.[Xiu-Shen], Jiang, Q.Y.[Qing-Yuan], Yang, J.[Jian],
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval,
ECCV22(XIV:531-548).
Springer DOI 2211
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Cui, Q.[Quan], Jiang, Q.Y.[Qing-Yuan], Wei, X.S.[Xiu-Shen], Li, W.J.[Wu-Jun], Yoshie, O.[Osamu],
Exchnet: A Unified Hashing Network for Large-scale Fine-grained Image Retrieval,
ECCV20(III:189-205).
Springer DOI 2012
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Li, Z.H.[Zhi-Hui], Yao, L.[Lina], Chang, X.J.[Xiao-Jun], Zhan, K.[Kun], Sun, J.D.[Jian-De], Zhang, H.X.[Hua-Xiang],
Zero-Shot Event Detection Via Event-Adaptive Concept Relevance Mining,
PR(88), 2019, pp. 595-603.
Elsevier DOI 1901
Zero-shot event detection, Concept relevance mining, Semantic concept BibRef

Yuan, B.[Bo], Gao, X.B.[Xin-Bo], Niu, Z.X.[Zhen-Xing],
Discovering Latent Aspects for Diversity-Induced Image Retrieval,
MultMedMag(25), No. 4, October 2018, pp. 19-33.
IEEE DOI 1901
Image segmentation, Visualization, Image retrieval, Multimedia communication, Feature extraction, image retrieval, topic model BibRef

Xu, Q.Q.[Qian-Qian], Xiong, J.C.[Jie-Chao], Cao, X.C.[Xiao-Chun], Huang, Q.M.[Qing-Ming], Yao, Y.[Yuan],
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PAMI(41), No. 4, April 2019, pp. 844-856.
IEEE DOI 1903
Variations in human annotations. Data models, Predictive models, Computational modeling, Adaptation models, Heuristic algorithms, position bias BibRef

Wei, S.K.[Shi-Kui], Liao, L.X.[Li-Xin], Li, J.[Jia], Zheng, Q.J.[Qin-Jie], Yang, F.[Fei], Zhao, Y.[Yao],
Saliency Inside: Learning Attentive CNNs for Content-Based Image Retrieval,
IP(28), No. 9, Sep. 2019, pp. 4580-4593.
IEEE DOI 1908
content-based retrieval, convolutional neural nets, feature extraction, gaze tracking, image fusion, image retrieval, convolutional neural networks BibRef

Fu, X.[Xin], Zhao, Y.[Yao], Wei, Y.C.[Yun-Chao], Zhao, Y.F.[Yu-Feng], Wei, S.K.[Shi-Kui],
Rich Features Embedding for Cross-Modal Retrieval: A Simple Baseline,
MultMed(22), No. 9, September 2020, pp. 2354-2365.
IEEE DOI 2008
Semantics, Image representation, Visualization, Task analysis, Correlation, Training, Data models, Rich features embedding, cross-modal retrieval BibRef

Binski, N.[Noa], Natapov, A.[Asya], Dalyot, S.[Sagi],
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IJGI(8), No. 12, 2019, pp. xx-yy.
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Vural, C.[Cabir], Akbacak, E.[Enver],
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SP:IC(88), 2020, pp. 115970.
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Hashing, Pareto optimization, Multi-query image retrieval BibRef

Akbacak, E.[Enver], Vural, C.[Cabir],
Deep multi-query video retrieval,
JVCIR(85), 2022, pp. 103501.
Elsevier DOI 2205
Video hashing, Pareto optimization, Multi-query video retrieval BibRef

Murrugarra-Llerena, N.[Nils], Kovashka, A.[Adriana],
Image retrieval with mixed initiative and multimodal feedback,
CVIU(207), 2021, pp. 103204.
Elsevier DOI 2105
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Earlier:
Cross-Modality Personalization for Retrieval,
CVPR19(6422-6431).
IEEE DOI 2002
Image retrieval, Attributes, Mixed-initiative, Active learning BibRef

Jian, M.[Meng], Guo, J.J.[Jing-Jing], Zhang, C.L.[Chen-Lin], Jia, T.[Ting], Wu, L.F.[Li-Fang], Yang, X.[Xun], Huo, L.[Lina],
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PR(120), 2021, pp. 108100.
Elsevier DOI 2109
Manifold propagation, Modularization, Image recommendation, User interest BibRef

Nie, L.Q.[Li-Qiang], Jiao, F.K.[Fang-Kai], Wang, W.J.[Wen-Jie], Wang, Y.L.[Ying-Long], Tian, Q.[Qi],
Conversational Image Search,
IP(30), 2021, pp. 7732-7743.
IEEE DOI 2109
Knowledge engineering, Image representation, Visualization, Neural networks, Search problems, Logic gates, knowledge-enhanced image representation BibRef

Savchenko, A.V., Demochkin, K.V., Grechikhin, I.S.,
Preference prediction based on a photo gallery analysis with scene recognition and object detection,
PR(121), 2022, pp. 108248.
Elsevier DOI 2109
Scene recognition, Event recognition, Object detection, Recognition of a set of images, Mobile device BibRef

Zhao, Q.[Qi], Wang, X.[Xu], Lyu, S.C.[Shu-Chang], Liu, B.H.[Bing-Hao], Yang, Y.F.[Yi-Fan],
A feature consistency driven attention erasing network for fine-grained image retrieval,
PR(128), 2022, pp. 108618.
Elsevier DOI 2205
Fine-grained image retrieval, Deep hashing learning, Selective region erasing module, Feature consistency BibRef

Azad, H.K.[Hiteshwar Kumar], Deepak, A.[Akshay], Chakraborty, C.[Chinmay], Abhishek, K.[Kumar],
Improving query expansion using pseudo-relevant web knowledge for information retrieval,
PRL(158), 2022, pp. 148-156.
Elsevier DOI 2205
Information retrieval, Query expansion, Pseudo relevance feedback, Web search, Web knowledge BibRef

Unal, M.E.[Mesut Erhan], Ye, K.[Keren], Zhang, M.[Mingda], Thomas, C.[Christopher], Kovashka, A.[Adriana], Li, W.[Wei], Qin, D.F.[Dan-Feng], Berent, J.[Jesse],
Learning to Overcome Noise in Weak Caption Supervision for Object Detection,
PAMI(45), No. 4, April 2023, pp. 4897-4914.
IEEE DOI 2303
BibRef
Earlier: A2, A3, A5, A6, A7, A8, Only:
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection,
ICCV19(9685-9694)
IEEE DOI 2004
Code, Captioning.
WWW Link. Training, Object detection, Proposals, Visualization, Detectors, Ovens, Semantics, Language-supervised object detection, vision and language. image classification, learning (artificial intelligence), text analysis, bounding box supervision, Natural languages BibRef

Zhang, H.W.[Huai-Wen], Yang, Y.[Yang], Qi, F.[Fan], Qian, S.S.[Sheng-Sheng], Xu, C.S.[Chang-Sheng],
Debiased Video-Text Retrieval via Soft Positive Sample Calibration,
CirSysVideo(33), No. 9, September 2023, pp. 5257-5270.
IEEE DOI 2310
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Zhang, H.W.[Huai-Wen], Yang, Y.[Yang], Qi, F.[Fan], Qian, S.S.[Sheng-Sheng], Xu, C.S.[Chang-Sheng],
Robust Video-Text Retrieval Via Noisy Pair Calibration,
MultMed(25), 2023, pp. 8632-8645.
IEEE DOI 2312
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Huang, F.[Fuxiang], Zhang, L.[Lei], Zhou, Y.H.[Yu-Hang], Gao, X.B.[Xin-Bo],
Adversarial and Isotropic Gradient Augmentation for Image Retrieval With Text Feedback,
MultMed(25), 2023, pp. 7415-7427.
IEEE DOI 2311
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Zhang, Y.[Yan], Ji, Z.[Zhong], Pang, Y.W.[Yan-Wei], Li, X.L.[Xue-Long],
Consensus Knowledge Exploitation for Partial Query Based Image Retrieval,
CirSysVideo(33), No. 12, December 2023, pp. 7900-7913.
IEEE DOI Code:
WWW Link. 2312
BibRef

Zhang, W.[Wei], Zhou, K.B.[Kang-Bin], Teng, L.Y.[Lu-Yao], Tang, F.Y.[Fei-Yi], Wu, N.Q.[Nai-Qi], Teng, S.H.[Shao-Hua], Li, J.[Jian],
Dynamic Confidence Sampling and Label Semantic Guidance Learning for Domain Adaptive Retrieval,
MultMed(26), 2024, pp. 2467-2479.
IEEE DOI 2402
Semantics, Codes, Training, Navigation, Adaptive systems, Reliability, Headphones, Domain adaptive retrieval, relaxation variables BibRef

Xu, Y.H.[Ya-Hui], Bin, Y.[Yi], Wei, J.[Jiwei], Yang, Y.[Yang], Wang, G.Q.[Guo-Qing], Shen, H.T.[Heng Tao],
Align and Retrieve: Composition and Decomposition Learning in Image Retrieval With Text Feedback,
MultMed(26), 2024, pp. 9936-9948.
IEEE DOI 2410
Correlation, Image retrieval, Task analysis, Semantics, Visualization, Computer architecture, Feature extraction, attention BibRef

Hwang, M.Y.[Min-Young], Weihs, L.[Luca], Park, C.[Chanwoo], Lee, K.[Kimin], Kembhavi, A.[Aniruddha], Ehsani, K.[Kiana],
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences,
CVPR24(16216-16226)
IEEE DOI Code:
WWW Link. 2410
Navigation, Prediction methods, Behavioral sciences, Trajectory, robotics, learning from human feedback, human preferences BibRef

Zhang, Y.[Yidan], Zhang, T.[Ting], Chen, D.[Dong], Wang, Y.J.[Yu-Jing], Chen, Q.[Qi], Xie, X.[Xing], Sun, H.[Hao], Deng, W.W.[Wei-Wei], Zhang, Q.[Qi], Yang, F.[Fan], Yang, M.[Mao], Liao, Q.M.[Qing-Min], Wang, J.D.[Jing-Dong], Guo, B.[Baining],
Irgen: Generative Modeling for Image Retrieval,
ECCV24(XV: 21-41).
Springer DOI 2412
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Geng, Z.G.[Zi-Gang], Yang, B.X.[Bin-Xin], Hang, T.[Tiankai], Li, C.[Chen], Gu, S.Y.[Shu-Yang], Zhang, T.[Ting], Bao, J.M.[Jian-Min], Zhang, Z.[Zheng], Li, H.Q.[Hou-Qiang], Hu, H.[Han], Chen, D.[Dong], Guo, B.[Baining],
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks,
CVPR24(12709-12720)
IEEE DOI 2410
Aligning computer vision tasks with human instructions. Training, Solid modeling, Computational modeling, Artificial general intelligence, Shoulder, Predictive models BibRef

Caffagni, D.[Davide], Cocchi, F.[Federico], Moratelli, N.[Nicholas], Sarto, S.[Sara], Cornia, M.[Marcella], Baraldi, L.[Lorenzo], Cucchiara, R.[Rita],
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs,
WhatNext24(1818-1826)
IEEE DOI 2410
Visualization, Adaptation models, Pipelines, Computer architecture, Question answering (information retrieval) BibRef

Lederer, R.[Ralf], Bullin, M.[Martin], Henrich, A.[Andreas],
Exploiting EXIF Data to Improve Image Classification Using Convolutional Neural Networks,
CIAP23(I:475-486).
Springer DOI 2312
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Zheng, C.H.[Chen-Hao], Shrivastava, A.[Ayush], Owens, A.[Andrew],
EXIF as Language: Learning Cross-Modal Associations between Images and Camera Metadata,
CVPR23(6945-6956)
IEEE DOI 2309
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Chen, F.Y.[Fang-Yi], Zhang, H.[Han], Hu, K.[Kai], Huang, Y.K.[Yu-Kai], Zhu, C.C.[Chen-Chen], Savvides, M.[Marios],
Enhanced Training of Query-Based Object Detection via Selective Query Recollection,
CVPR23(23756-23765)
IEEE DOI 2309
BibRef

Huang, F.X.[Fu-Xiang], Zhang, L.[Lei],
Language Guided Local Infiltration for Interactive Image Retrieval,
IMW23(6104-6113)
IEEE DOI 2309
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Vadera, M.P.[Meet P.], Samplawski, C.[Colin], Marlin, B.M.[Benjamin M.],
Uncertainty Quantification Using Query-based Object Detectors,
Uncertainty22(78-93).
Springer DOI
WWW Link. 2304
Query based detection. BibRef

Ma, Z.X.[Zhi-Xin], Wu, J.X.[Jia-Xin], Loo, W.X.[Wei-Xiong], Ngo, C.W.[Chong-Wah],
Reinforcement Learning Enhanced PicHunter for Interactive Search,
MMMod23(I: 690-696).
Springer DOI 2304
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Schild, K.I.[Kim I.], Bagi, A.M.[Alexandra M.], Mamsen, M.H.[Magnus Holm], Khan, O.S.[Omar Shahbaz], Zahálka, J.[Jan], Jónsson, B.Þ.[Björn Þór],
XQM: Search-Oriented vs. Classifier-Oriented Relevance Feedback on Mobile Phones,
MMMod22(II:458-464).
Springer DOI 2203
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Jandial, S.[Surgan], Badjatiya, P.[Pinkesh], Chawla, P.[Pranit], Chopra, A.[Ayush], Sarkar, M.[Mausoom], Krishnamurthy, B.[Balaji],
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval,
WACV22(597-606)
IEEE DOI 2202
Visualization, Image resolution, Navigation, Semantics, Image retrieval, Natural languages, Vision Systems and Applications BibRef

Lee, S.M.[Seung-Min], Kim, D.[Dongwan], Han, B.H.[Bo-Hyung],
CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback,
CVPR21(802-812)
IEEE DOI 2111
Deep learning, Codes, Image retrieval, Modulation, Benchmark testing BibRef

Takeshita, K.[Koki], Shioyama, J.[Juntaro], Uchida, S.[Seiichi],
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence,
ICPR21(6227-6234)
IEEE DOI 2105
Learning descriptions for text descriptions. Measurement, Visualization, Vocabulary, Image recognition, Text recognition, Detectors BibRef

Suzuki, T.[Tokinori], Ikeda, D.[Daisuke],
A Modality Converting Approach for Image Annotation to Overcome the Inconsistent Labels in Training Data,
VTIUR20(261-268).
Springer DOI 2103
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Gordo, A.[Albert], Radenovic, F.[Filip], Berg, T.L.[Tamara L.],
Attention-based Query Expansion Learning,
ECCV20(XXVIII:172-188).
Springer DOI 2011
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Gomez, R.[Raul], Gibert, J.[Jaume], Gomez, L.[Lluis], Karatzas, D.[Dimosthenis],
Location Sensitive Image Retrieval and Tagging,
ECCV20(XVI: 649-665).
Springer DOI 2010
Differences in human descriptions. BibRef

Dhall, A.[Ankit], Makarova, A.[Anastasia], Ganea, O.[Octavian], Pavllo, D.[Dario], Greeff, M.[Michael], Krause, A.[Andreas],
Hierarchical Image Classification using Entailment Cone Embeddings,
Diff-CVML20(3649-3658)
IEEE DOI 2008
Visualization, Semantics, Task analysis, Geometry, Computational modeling, Apertures BibRef

Zhu, L.C.[Lin-Chao], Yang, Y.[Yi],
ActBERT: Learning Global-Local Video-Text Representations,
CVPR20(8743-8752)
IEEE DOI 2008
Paired video and text descriptions. Visualization, Task analysis, Bit error rate, Feature extraction, Linguistics, Knowledge discovery BibRef

Chen, Y., Gong, S., Bazzani, L.,
Image Search With Text Feedback by Visiolinguistic Attention Learning,
CVPR20(2998-3008)
IEEE DOI 2008
Visualization, Semantics, Task analysis, Feature extraction, Image representation, Linguistics BibRef

Mahajan, S.[Shweta], Botschen, T.[Teresa], Gurevych, I.[Iryna], Roth, S.[Stefan],
Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings,
CroMoL19(4561-4570)
IEEE DOI 2004
image representation, image retrieval, text analysis, latent embeddings, Gaussian prior, compatible continuity, Wasserstein autoencoders BibRef

Le, N.K.[Nguyen-Khang], Nguyen, D.H.[Dieu-Hien], Tran, M.T.[Minh-Triet],
An Interactive Video Search Platform for Multi-modal Retrieval with Advanced Concepts,
MMMod20(II:766-771).
Springer DOI 2003
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Zhao, T.[Tony], Choi, J.[Jaeyoung], Friedland, G.[Gerald],
DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models,
MMMod20(II:729-733).
Springer DOI 2003
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Gygli, M.[Michael], Ferrari, V.[Vittorio],
Fast Object Class Labelling via Speech,
CVPR19(5360-5368).
IEEE DOI 2002
interface where classes are annotated via speech. BibRef

Chen, B.H.[Bing-Hui], Deng, W.H.[Wei-Hong],
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval,
CVPR19(2745-2754).
IEEE DOI 2002
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Gomez, R.[Raul], Gomez, L.[Lluis], Gibert, J.[Jaume], Karatzas, D.[Dimosthenis],
Learning to Learn from Web Data Through Deep Semantic Embeddings,
MultLearnApp18(VI:514-529).
Springer DOI 1905
BibRef

Liu, K., Wang, H., Nie, F., Zhang, H.,
Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the L1-Norm Distances,
CVPR18(7727-7735)
IEEE DOI 1812
Semantics, Image representation, Optimization, Principal component analysis, Image retrieval, Data models, Bicycles BibRef

Engilberge, M.[Martin], Chevallier, L.[Louis], Perez, P.[Patrick], Cord, M.[Matthieu],
Finding Beans in Burgers: Deep Semantic-Visual Embedding with Localization,
CVPR18(3984-3993)
IEEE DOI 1812
From images and text. Visualization, Task analysis, Training, Semantics, Feature extraction, Neural networks, Measurement BibRef

Veit, A., Nickel, M., Belongie, S., van der Maaten, L.[Laurens],
Separating Self-Expression and Visual Content in Hashtag Supervision,
CVPR18(5919-5927)
IEEE DOI 1812
Tagging, Twitter, Visualization, Training, Computational modeling, Task analysis BibRef

Zhao, X.Y.[Xiang-Yun], Li, H.X.[Hao-Xiang], Shen, X.H.[Xiao-Hui], Liang, X.D.[Xiao-Dan], Wu, Y.[Ying],
A Modulation Module for Multi-task Learning with Applications in Image Retrieval,
ECCV18(I: 415-432).
Springer DOI 1810
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Martínez-Cortés, T.[Tomás], González-Díaz, I.[Iván], Díaz-de-María, F.[Fernando],
Automatic Learning of Image Representations Combining Content and Metadata,
ICIP18(1972-1976)
IEEE DOI 1809
Use metadata. Visualization, Metadata, Task analysis, Training, Urban areas, Global Positioning System, Computational modeling, CNN, metadata, weak labels BibRef

El Aissaoui, O., El Madani El Alami, Y., Oughdir, L., El Allioui, Y.,
Integrating web usage mining for an automatic learner profile detection: A learning styles-based approach,
ISCV18(1-6)
IEEE DOI 1807
Internet, computer aided instruction, data mining, educational institutions, learning (artificial intelligence), web usage mining BibRef

Wei, X.R.[Xin-Ru], Qi, Y.G.[Yong-Gang], Liu, J.[Jun], Liu, F.[Fang],
Image retrieval by dense caption reasoning,
VCIP17(1-4)
IEEE DOI 1804
content-based retrieval, graph theory, image retrieval, inference mechanisms, complex image retrieval, Scene Graph Matching BibRef

Hamano, S., Ogawa, T., Haseyama, M.,
Tag refinement based on multilingual tag hierarchies extracted from image folksonomy,
ICIP17(1327-1331)
IEEE DOI 1803
Feature extraction, Flickr, Frequency modulation, Nickel, Noise measurement, Roads, Visualization, Tagged images, tag refinement BibRef

Shen, Y.M.[Yu-Ming], Liu, L.[Li], Shao, L.[Ling], Song, J.K.[Jing-Kuan],
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,
ICCV17(4117-4126)
IEEE DOI 1802
Image and text. binary codes, feature extraction, graph theory, image coding, image representation, image retrieval, information retrieval, Training BibRef

Tsai, Y.H.H.[Yao-Hung Hubert], Huang, L.K.[Liang-Kang], Salakhutdinov, R.[Ruslan],
Learning Robust Visual-Semantic Embeddings,
ICCV17(3591-3600)
IEEE DOI 1802
Joint embedding of images and text. image classification, image recognition, image representation, learning (artificial intelligence), neural nets, BibRef

Gui, L.K.[Liang-Ke], Wang, Y.X.[Yu-Xiong], Hebert, M.[Martial],
Few-Shot Hash Learning for Image Retrieval,
CEFR-LCV17(1228-1237)
IEEE DOI 1802
Binary codes, Image retrieval, Libraries, Semantics, Training, Visualization BibRef

Zhang, Y., Yuan, L., Guo, Y., He, Z., Huang, I.A., Lee, H.,
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries,
CVPR17(1090-1099)
IEEE DOI 1711
Bioinformatics, Genomics, Natural languages, Recurrent neural networks, Training, Visualization BibRef

Yu, Z.[Zheng], Wang, W.[Wenmin], Fan, M.D.[Meng-Di],
Learning a Limited Text Space for Cross-Media Retrieval,
CAIP17(I: 292-303).
Springer DOI 1708
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Lv, D.[Detao], Fu, B.[Bo], Sun, X.[Xiao], Qiu, H.[Hang], Liu, X.B.[Xiao-Bing], Zhang, Y.L.[Yan-Long],
Efficient Fast Updated Frequent Pattern tree algorithm and its parallel implementation,
ICIVC17(970-974)
IEEE DOI 1708
Algorithm design and analysis, Itemsets, association mining, incremental, large scale data, parallelization BibRef

Liu, X.W.[Xin-Wei],
Estimating concept understanding ability for exploratory search query recommendations,
ICIVC17(1024-1028)
IEEE DOI 1708
Metadata, Probabilistic logic, PageRank, Query recommendations, concept association model, folksonomy, user, knowledge, model BibRef

Guo, S.M.[Shi-Ming], Gao, H.[Hong],
An efficient algorithm for incremental and interactive high utility itemset mining,
ICIVC17(996-1001)
IEEE DOI 1708
Databases, candidate generation, high utility itemset mining, incremental mining, interactive mining, pattern, growth BibRef

Wang, J.[Jie], Lv, H.Y.[Hai-Yan], Cao, B.[Biao], Zhao, Y.[Yuan],
Application of educational data mining on analysis of students' online learning behavior,
ICIVC17(1011-1015)
IEEE DOI 1708
Animation, Databases, Education, Libraries, Tools, big data, educational data mining, engineering mechanics experiment autonomous learning platform, log in behavior, resources, explore, behavior BibRef

Xu, H.[Heng], Wang, J.Y.[Jun-Yi], Mao, L.[Lei],
Relevance feedback for Content-based Image Retrieval using deep learning,
ICIVC17(629-633)
IEEE DOI 1708
Convolution, Feature extraction, Image retrieval, Machine learning, Neural networks, Radio frequency, Semantics, CBIR, deep learning, relevance feedback, semantic, gap BibRef

Rosenthal, G.[Guy], Shamir, A.[Ariel], Sigal, L.[Leonid],
Learn How to Choose: Independent Detectors Versus Composite Visual Phrases,
WACV17(382-390)
IEEE DOI 1609
Buildings, Detectors, Feature extraction, Object detection, Support vector machines, Training, Visualization BibRef

Pyykkö, J.[Joel], Glowacka, D.[Dorota],
Dynamic Exploratory Search in Content-Based Image Retrieval,
SCIA17(I: 538-549).
Springer DOI 1706
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Lu, T.[Tao], Zhu, C.[Chuang], Jia, H.[Huizhu], Duan, L., Tao, L.[Li], Song, J.W.[Jia-Wen], Xie, X.D.[Xiao-Dong], Gao, W.[Wen],
Smart query expansion scheme for CDVS based on illumination and key features,
ICPR16(2942-2947)
IEEE DOI 1705
Feature extraction, Image coding, Image retrieval, Lighting, Standards, Visualization, compact description for visual search, illumination, image retrieval, matching, query expansion BibRef

Vondrick, C.[Carl], Oktay, D.[Deniz], Pirsiavash, H.[Hamed], Torralba, A.B.[Antonio B.],
Predicting Motivations of Actions by Leveraging Text,
CVPR16(2997-3005)
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actions with annotations. BibRef

Vittayakorn, S.[Sirion], Umeda, T.[Takayuki], Murasaki, K.[Kazuhiko], Sudo, K.[Kyoko], Okatani, T.[Takayuki], Yamaguchi, K.[Kota],
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ECCV16(IV: 252-268).
Springer DOI 1611
Learn from noisy web data. BibRef

Kourgli, A., Sebai, H., Bouteldja, S., Oukil, Y.,
Towards Adaptive High-resolution Images Retrieval Schemes,
ISPRS16(B2: 201-209).
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Freytag, A.[Alexander], Schadt, A.[Alena], Denzler, J.[Joachim],
Interactive Image Retrieval for Biodiversity Research,
GCPR15(129-141).
Springer DOI 1511
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Elbahi, A.[Anis], Omri, M.N.[Mohamed Nazih],
Web User Interact Task Recognition Based on Conditional Random Fields,
CAIP15(I:740-751).
Springer DOI 1511
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Rocha, R.[Reginaldo], Saito, P.T.M.[Priscila T.M.], Bugatti, P.H.[Pedro H.],
A Novel Framework for Content-Based Image Retrieval Through Relevance Feedback Optimization,
CIARP15(281-289).
Springer DOI 1511
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Thiagarajan, J.J., Ramamurthy, K.N., Sattigeri, P., Bremer, P.T., Spanias, A.,
Automatic image annotation using inverse maps from semantic embeddings,
ICIP14(3107-3111)
IEEE DOI 1502
Feature extraction BibRef

Calumby, R.T.[Rodrigo Tripodi], da Silva Torres, R.[Ricardo], Goncalves, M.A.[Marcos Andre],
Diversity-driven learning for multimodal image retrieval with relevance feedback,
ICIP14(2197-2201)
IEEE DOI 1502
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Hürst, W.[Wolfgang], Hoet, M.[Miklas],
Sliders Versus Storyboards: Investigating Interaction Design for Mobile Video Browsing,
MMMod15(II: 123-134).
Springer DOI 1501
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Pinto-Cáceres, S.M.[Sheila M.], Almeida, J.[Jurandy], Baranauskas, M.C.C.[M. Cecília C.], da Silva Torres, R.[Ricardo],
FISIR: A Flexible Framework for Interactive Search in Image Retrieval Systems,
MMMod15(I: 335-347).
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An Evaluation of Video Browsing on Tablets with the ThumbBrowser,
MMMod17(II: 89-100).
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Hudelist, M.A.[Marco A.], Schoeffmann, K.[Klaus], Xu, Q.[Qing],
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Wang, Q.F.[Qi-Fan], Shen, B.[Bin], Wang, S.M.[Shu-Miao], Li, L.[Liang], Si, L.[Luo],
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Dong, P.X.[Pei-Xiang], Mei, K.Z.[Kui-Zhi], Zhang, J.[Ji], Lei, H.[Hao], Fan, J.P.[Jian-Ping],
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Eolas: Video Retrieval Application for Helping Tourists,
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Gygli, M.[Michael], Grabner, H.[Helmut], Riemenschneider, H.[Hayko], Nater, F.[Fabian], Van Gool, L.J.[Luc J.],
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ICCV13(1633-1640)
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Human Interest; Image Classification; Image Retrival; Interestingness BibRef

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Implied Feedback: Learning Nuances of User Behavior in Image Search,
ICCV13(745-752)
IEEE DOI 1403
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An adaptive-weight hybrid relevance feedback approach for content based image retrieval,
ICIP13(3977-3981)
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CBIR; Relevance feedback; adaptive weight; hybrid BibRef

Malagoli, A.[Alberto], Leva, M.[Mariano], Kimani, S.[Stephen], Russo, A.[Alessandro], Mecella, M.[Massimo],
Visual Query Specification and Interaction with Industrial Engineering Data,
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EG3DOR10(55-62)
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A Knowledge Management System for Intelligent Retrieval of Geo-Spatial Imagery,
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Visual Question Answering, Query, VQA .