19.4.4 Image Database Indexing Techniques

Chapter Contents (Back)
QBIC. Query by Image Content. Database. Image Database. See also Recognition by Color Indexing.

Chang, C.C., and Lee, S.Y.,
Retrieval of Similar Pictures on Pictorial Databases,
PR(24), No. 7, 1991, pp. 675-680.
WWW Link. BibRef 9100

Minka, T.P., Picard, R.W.,
Interactive Learning with a Society of Models,
PR(30), No. 4, April 1997, pp. 565-581.
WWW Link. 9705
BibRef
Earlier: CVPR96(447-452).
IEEE DOI BibRef
And: Vismod-349.
HTML Version. and
PS File. BibRef

Chang, S.F.,
Content-Based Indexing and Retrieval of Visual Information,
SPMag(14), No. 4, July 1997, pp. 45-48. 9708
BibRef

Fierens, F., van Cleynenbreugel, J., Suetens, P., Oosterlinck, A.,
Iconic Representation of Visual Data and Models,
PRL(12), 1991, pp. 781-792. BibRef 9100

Aisbett, J., Gibbon, G.,
A User Dependent Definition of the Information in Images and Its Use in Information Retrieval,
JVCIR(8), No. 2, June 1997, pp. 97-106. 9710
BibRef

Kwon, T.M., Agrawal, P., Crouch, D.B.,
An ROI Search Method for Still Images Based on Set Descriptions,
MultiSP(9), No. 1, January 1998, pp. 93-106. 9804
BibRef

Shan, M.K.[Man-Kwan], Lee, S.Y.[Suh-Yin],
Multidimensional Interval Filter: A New Indexing Method for Subpicture Query of Image Retrieval,
PRL(19), No. 13, November 1998, pp. 1241-1255. BibRef 9811

Seales, W.B.[W. Brent], Yuan, C.J.[Cheng J.], Hu, W.[Wei], Cutts, M.D.[Matthew D.],
Object recognition in compressed imagery,
IVC(16), No. 5, April 27 1998, pp. 337-352.
WWW Link. 0401
BibRef

Seales, W.B.[W. Brent], Yuan, C.J.[Cheng J.], Brown, M.,
Efficient content extraction in compressed images,
CBAIVL97(52).
IEEE DOI 9706
BibRef

Lew, M.S.[Michael S.], Denteneer, D.[Dee],
Fisher keys for content based retrieval,
IVC(19), No. 8, May 2001, pp. 561-566.
WWW Link. 0106
BibRef

Lew, M.S.[Michael S.], Huijsmans, D.P., Denteneer, D.[Dee],
Optimal keys for image database indexing,
CIAP97(II: 148-155).
Springer DOI 9709
BibRef
And:
Information Theoretic Image Database Indexing,
Visual97(xx). BibRef

Huijsmans, D.P., Lew, M.S., Denteneer, D.,
Quality measures for interactive image retrieval with a performance evaluation of two 3X3 texel-based methods,
CIAP97(II: 22-29).
Springer DOI 9709
BibRef

Yoo, H.W.[Hun-Woo], Jang, D.S.[Dong-Sik], Jung, S.H.[Seh-Hwan], Park, J.H.[Jin-Hyung], Song, K.S.[Kwang-Seop],
Visual information retrieval system via content-based approach,
PR(35), No. 3, March 2002, pp. 749-769.
WWW Link. 0201
BibRef

Torralba, A.B.[Antonio B.],
Contextual Priming for Object Detection,
IJCV(53), No. 2, July 2003, pp. 169-191.
DOI Link 0304
BibRef
Earlier: Add A2: Sinha, P.[Pawan], MIT AIM-2001-020, September 2001.
WWW Link. 0205
BibRef

Torralba, A.B.[Antonio B.], Sinha, P.[Pawan],
Statistical Context Priming for Object Detection,
ICCV01(I: 763-770).
IEEE DOI 0106
Structured environment with lots of correlated (lines) features vs. unstructured with no sets of lines. Scale selection. BibRef

Torralba, A.B.[Antonio B.], Murphy, K.P.[Kevin P.], Freeman, W.T.[William T.],
Sharing Visual Features for Multiclass and Multiview Object Detection,
PAMI(29), No. 5, May 2007, pp. 854-869.
IEEE DOI 0704
BibRef
Earlier: MIT AIM-2004-008, April 14, 2004.
WWW Link. 0501
BibRef
And:
Shared Features for Multiclass Object Detection,
CLOR06(345-361).
Springer DOI 0711
BibRef
Earlier:
Contextual models for object detection using boosted random fields,
MIT AIM-2004-013, June 25, 2004.
WWW Link. 0501
BibRef
Earlier:
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection,
CVPR04(II: 762-769).
IEEE DOI 0408
BibRef

Zhu, L.L.[Long Leo], Chen, Y.H.[Yuan-Hao], Yuille, A.L.[Alan L.],
Recursive Compositional Models for Vision: Description and Review of Recent Work,
JMIV(41), No. 1-2, September 2011, pp. 122-146.
WWW Link. 1108
BibRef

Zhu, L.L.[Long Leo], Chen, Y.H.[Yuan-Hao], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.], Yuille, A.L.[Alan L.],
Part and appearance sharing: Recursive Compositional Models for multi-view, Multi-Object Detection,
CVPR10(1919-1926).
IEEE DOI 1006
See also Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. BibRef

Chen, Y.H.[Yuan-Hao], Zhu, L.L.[Long Leo], Yuille, A.L.[Alan L.],
Active Mask Hierarchies for Object Detection,
ECCV10(V: 43-56).
Springer DOI 1009
See also Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. BibRef

Torralba, A.B.[Antonio B.], Murphy, K.P.[Kevin P.], Freeman, W.T.[William T.], Rubin, M.A.[Mark A.],
Context-Based Vision System for Place and Object Recognition,
ICCV03(273-280).
IEEE DOI 0311
BibRef
And: MIT AIMAIM-2003-005, March 19, 2003.
WWW Link. In this paper we present a context-based vision system for place and object recognition 0306
BibRef

Russell, B.C.[Bryan C.], Torralba, A.B.[Antonio B.], Murphy, K.P.[Kevin P.], Freeman, W.T.[William T.],
LabelMe: A Database and Web-Based Tool for Image Annotation,
IJCV(77), No. 1-3, May 2008, pp. 157-173.
Springer DOI 0803
BibRef
Earlier: CSAIL-2005-056, September 2005.
WWW Link. BibRef

Russell, B.C.[Bryan C.], Torralba, A.B.[Antonio B.],
Building a database of 3D scenes from user annotations,
CVPR09(2711-2718).
IEEE DOI 0906
BibRef

Fergus, R.[Rob], Bernal, H.[Hector], Weiss, Y.[Yair], Torralba, A.B.[Antonio B.],
Semantic Label Sharing for Learning with Many Categories,
ECCV10(I: 762-775).
Springer DOI 1009
BibRef

Torralba, A.B.[Antonio B.], Fergus, R.[Rob], Weiss, Y.[Yair],
Small codes and large image databases for recognition,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Torralba, A.B.[Antonio B.], Fergus, R.[Rob], Freeman, W.T.[William T.],
Tiny images,
CSAIL-2007-024, April 2007.
WWW Link. 10^8 32X32 images for data. BibRef 0704

Xiao, J.X.[Jian-Xiong], Hays, J.[James], Ehinger, K.A.[Krista A.], Oliva, A.[Aude], Torralba, A.B.[Antonio B.],
SUN database: Large-scale scene recognition from abbey to zoo,
JEP:HPP(36), No. 6, 2010, pp. 1430-1442. BibRef 1000
And: CVPR10(3485-3492).
IEEE DOI
HTML Version. 1006
BibRef

Xiao, J.X.[Jian-Xiong], Ehinger, K.A.[Krista A.], Hays, J.[James], Torralba, A.[Antonio], Oliva, A.[Aude],
SUN Database: Exploring a Large Collection of Scene Categories,
IJCV(119), No. 1, August 2016, pp. 3-22.
Springer DOI 1608
BibRef

Patterson, G.[Genevieve], Xu, C.[Chen], Su, H.[Hang], Hays, J.[James],
The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding,
IJCV(108), No. 1-2, May 2014, pp. 59-81.
Springer DOI 1405
BibRef
Earlier: A1, A4, Only:
SUN attribute database: Discovering, annotating, and recognizing scene attributes,
CVPR12(2751-2758).
IEEE DOI 1208
crowd sourced attributes, study use of attributes for descriptions. BibRef

Patterson, G.[Genevieve], Hays, J.[James],
COCO Attributes: Attributes for People, Animals, and Objects,
ECCV16(VI: 85-100).
Springer DOI 1611
BibRef

Vittayakorn, S.[Sirion], Hays, J.[James],
Quality Assessment for Crowdsourced Object Annotations,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Li, J.[Jia], Wang, J.Z.[James Z.],
Automatic linguistic indexing of pictures by a statistical modeling approach,
PAMI(25), No. 9, September 2003, pp. 1075-1088.
IEEE Abstract. 0309
BibRef
Earlier:
ALIP: The Automatic Linguistic Indexing of Pictures System,
CVPR05(II: 1208-1209).
IEEE DOI 0507
BibRef

Categorized images train dictionary of statistical models for each concept.

Li, J.[Jia], Wang, J.Z.[James Z.],
Real-Time Computerized Annotation of Pictures,
PAMI(30), No. 6, June 2008, pp. 985-1002.
IEEE DOI 0804
Real-time version of ALIP. D2-clustering, similar to K-means. and mixture modeling approach. Apply to internet database images. BibRef

Chen, Y., Li, J.[Jia], Wang, J.Z.[James Z.],
Machine Learning and Statistical Modeling Approaches to Image Retrieval,
Kluwer AcademicPublishers, Dordrecht, 2004.
WWW Link. BibRef 0400

Kinser, J.M.[Jason M.],
Accelerated queries of time series databases,
PR(37), No. 8, August 2004, pp. 1691-1698.
WWW Link. 0407
Search over Fourier space, this adds composit Fourier filtering. BibRef

Kinser, J.M.[Jason M.], Wang, G.S.[Gui-Song],
Content based object retrieval with image primitive database,
AIPR05(179-183).
IEEE DOI 0510
BibRef

Boutell, M.R.[Matthew R.], Luo, J.B.[Jie-Bo], Shen, X.P.[Xi-Peng], Brown, C.M.[Christopher M.],
Learning multi-label scene classification,
PR(37), No. 9, September 2004, pp. 1757-1771.
WWW Link. 0407
By definition, classes are not unique. Classify the scene into multiple classes. I.e. assign an image to multiple classes according to the different parts. BibRef

Luo, J.B.[Jie-Bo], Boutell, M.R.[Matthew R.], Gray, R.T., Brown, C.M.,
Image Transform Bootstrapping and Its Applications to Semantic Scene Classification,
SMC-B(35), No. 3, June 2005, pp. 563-570.
IEEE DOI 0508
BibRef

Boutell, M.R.[Matthew R.], Luo, J.B.[Jie-Bo],
A Generalized Temporal Context Model for Semantic Scene Classification,
LCV04(104).
IEEE DOI 0406
BibRef

Boutell, M.R.[Matthew R.], Luo, J.B.[Jie-Bo], Brown, C.M.[Christopher M.],
Scene Parsing Using Region-Based Generative Models,
MultMed(9), No. 1, January 2007, pp. 136-146.
IEEE DOI 0905
BibRef
Earlier:
Factor Graphs for Region-based Whole-scene Classification,
SLAM06(104).
IEEE DOI 0609
BibRef

Boutell, M.R.[Matthew R.], Luo, J.B.[Jie-Bo],
Beyond pixels: Exploiting camera metadata for photo classification,
PR(38), No. 6, June 2005, pp. 935-946.
WWW Link. 0501
BibRef
Earlier:
Photo classification by integrating image content and camera metadata,
ICPR04(IV: 901-904).
IEEE DOI 0409
BibRef
And:
Incorporating temporal context with content for classifying image collections,
ICPR04(II: 947-950).
IEEE DOI 0409
BibRef

Kim, H.C.[Hyun-Chul], Ghahramani, Z.[Zoubin],
Bayesian Gaussian Process Classification with the EM-EP Algorithm,
PAMI(28), No. 12, December 2006, pp. 1948-1959.
IEEE DOI 0611
Probability of belonging is related (monotonically) to some function value. BibRef

Kim, H.C.[Hyun-Chul], Ghahramani, Z.[Zoubin],
Outlier Robust Gaussian Process Classification,
SSPR08(896-905).
Springer DOI 0812
BibRef

Heller, K.A.[Katherine A.], Ghahramani, Z.[Zoubin],
A Simple Bayesian Framework for Content-Based Image Retrieval,
CVPR06(II: 2110-2117).
IEEE DOI 0606
BibRef

Wilkins, P.[Peter], Adamek, T.[Tomasz], O'Connor, N.E.[Noel E.], Smeaton, A.F.[Alan F.],
Inexpensive fusion methods for enhancing feature detection,
SP:IC(22), No. 7-8, August-September 2007, pp. 635-650.
WWW Link. 0710
Feature detection; Data fusion; TRECVID BibRef

Smeaton, A.F., Spitz, A.L.,
Using character shape coding for information retrieval,
ICDAR97(974-978).
IEEE DOI 9708
BibRef

Seo, K.K.[Kwang-Kyu],
An application of one-class support vector machines in content-based image retrieval,
ExSysApp(33), No. 2, August, 2007, pp. 491-498.
Elsevier DOI 0905
BibRef

Xu, X.Y.[Xin-Yu], Li, B.X.[Bao-Xin],
Multiple Class Multiple-instance Learning And Its Application To Image Categorization,
IJIG(7), No. 3, July 2007, pp. 427-444. 0707
BibRef
And:
Evaluating Multi-class Multiple-Instance Learning for Image Categorization,
ACCV07(II: 155-165).
Springer DOI 0711
BibRef

Gao, Y.[Yajun], Li, B.X.[Bao-Xin],
Active learning for tag recommendation utilizing on-line photos lacking tags,
ICIP12(2869-2872).
IEEE DOI 1302
BibRef

Ksantini, R.[Riadh], Ziou, D.[Djemel], Colin, B.[Bernard], Dubeau, F.[Francois],
Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method,
PAMI(30), No. 2, February 2008, pp. 253-266.
IEEE DOI 0712
Metric weights for retrieval. Use wavelet features. BibRef

Athitsos, V.[Vassilis], Alon, J.[Jonathan], Sclaroff, S.[Stan], Kollios, G.[George],
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval,
PAMI(30), No. 1, January 2008, pp. 89-104.
IEEE DOI 0711
BibRef
Earlier:
BoostMap: a method for efficient approximate similarity rankings,
CVPR04(II: 268-275).
IEEE DOI 0408
BibRef
And: A1, A2, A3, Only:
Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures,
CVPR05(I: 486-493).
IEEE DOI 0507
Reduce retrieval time in query system. BibRef

Athitsos, V.[Vassilis], Sclaroff, S.[Stan],
Boosting Nearest Neighbor Classifiers for Multiclass Recognition,
LCV05(III: 45-45).
IEEE DOI 0507
BibRef

Stefan, A.[Alexandra], Athitsos, V.[Vassilis], Yuan, Q.[Quan], Sclaroff, S.[Stan],
Reducing JointBoost-based multiclass classification to proximity search,
CVPR09(589-596).
IEEE DOI 0906
BibRef
Earlier: A2, A1, A3, A4:
ClassMap: Efficient Multiclass Recognition via Embeddings,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Liu, J.[Jing], Wang, B.[Bin], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
A graph-based image annotation framework,
PRL(29), No. 4, 1 March 2008, pp. 407-415.
WWW Link. 0711
Image annotation; Annotation refinement; Graph learning; Image relation; Word relation BibRef

Zhang, T.Z.[Tian-Zhu], Liu, S.[Si], Xu, C.S.[Chang-Sheng], Lu, H.Q.[Han-Qing],
Boosted multi-class semi-supervised learning for human action recognition,
PR(44), No. 10-11, October-November 2011, pp. 2334-2342.
Elsevier DOI 1101
Semi-supervised learning; Action recognition; adaBoost.MH; co-EM BibRef

Zhang, T.Z.[Tian-Zhu], Liu, J.[Jing], Liu, S.[Si], Xu, C., Lu, H.Q.[Han-Qing],
Boosted Exemplar Learning for Action Recognition and Annotation,
CirSysVideo(21), No. 7, July 2011, pp. 853-866.
IEEE DOI 1107
BibRef

Liu, B.Y.[Bing-Yuan], Liu, J.[Jing], Lu, H.Q.[Han-Qing],
Learning representative and discriminative image representation by deep appearance and spatial coding,
CVIU(136), No. 1, 2015, pp. 23-31.
Elsevier DOI 1506
Image classification BibRef

Liu, B.Y.[Bing-Yuan], Liu, J.[Jing], Wang, J.Q.[Jing-Qiao], Lu, H.Q.[Han-Qing],
Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition,
ACCV14(I: 643-658).
Springer DOI 1504
BibRef

Liu, B.Y.[Bing-Yuan], Liu, J.[Jing], Li, Z.C.[Ze-Chao], Lu, H.Q.[Han-Qing],
Image Representation Learning by Deep Appearance and Spatial Coding,
ACCV14(I: 659-672).
Springer DOI 1504
BibRef

Zhang, T.Z.[Tian-Zhu], Xu, C., Zhu, G., Liu, S.[Si], Lu, H.Q.[Han-Qing],
A Generic Framework for Video Annotation via Semi-Supervised Learning,
MultMed(14), No. 4, 2012, pp. 1206-1219.
IEEE DOI 1208
BibRef

Zhang, T.Z.[Tian-Zhu], Liu, J.[Jing], Liu, S.[Si], Yi, O.[Ouyang], Lu, H.Q.[Han-Qing],
Boosted Exemplar Learning for human action recognition,
ObjectEvent09(538-545).
IEEE DOI 0910
BibRef

Zhang, C.J.[Chun-Jie], Liu, J.[Jing], Tian, Q.[Qi], Han, Y.J.[Yan-Jun], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
A Boosting, Sparsity- Constrained Bilinear Model for Object Recognition,
MultMedMag(19), No. 1, January-March 2012, pp. 58-68.
IEEE DOI 1202
BibRef

Zhang, C.J.[Chun-Jie], Liu, J.[Jing], Yi, O.[Ouyang], Tian, Q.[Qi], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Category sensitive codebook construction for object category recognition,
ICIP09(329-332).
IEEE DOI 0911
BibRef

Cheng, J.[Jian], Niu, B.[Biao], Fang, Y.K.[Yi-Kai], Lu, H.Q.[Han-Qing],
Representative sampling with certainty propagation for image retrieval,
ICIP11(2493-2496).
IEEE DOI 1201
BibRef

Perronnin, F.[Florent],
Universal and Adapted Vocabularies for Generic Visual Categorization,
PAMI(30), No. 7, July 2008, pp. 1243-1256.
IEEE DOI 0806
See also Efficient Approach to Semantic Segmentation, An. BibRef

Sanchez, J.[Jorge], Perronnin, F.[Florent],
High-dimensional signature compression for large-scale image classification,
CVPR11(1665-1672).
IEEE DOI 1106
Many images and many classes. BibRef

Gordo, A.[Albert], Perronnin, F.[Florent],
Asymmetric distances for binary embeddings,
CVPR11(729-736).
IEEE DOI 1106
Binarize embedding but not query. BibRef

Gordo, A.[Albert], Perronnin, F.[Florent], Valveny, E.[Ernest],
Large-scale document image retrieval and classification with runlength histograms and binary embeddings,
PR(46), No. 7, July 2013, pp. 1898-1905.
Elsevier DOI 1303
Visual document descriptor; Compression; Large-scale; Retrieval; Classification BibRef

Perronnin, F.[Florent], Sanchez, J.[Jorge], Liu, Y.[Yan],
Large-scale image categorization with explicit data embedding,
CVPR10(2297-2304).
IEEE DOI 1006
BibRef

Sánchez, J.[Jorge], Perronnin, F.[Florent], Mensink, T.[Thomas], Verbeek, J.[Jakob],
Image Classification with the Fisher Vector: Theory and Practice,
IJCV(105), No. 3, December 2013, pp. 222-245.
Springer DOI 1309
BibRef
Earlier: A2, A1, A3, Only:
Improving the Fisher Kernel for Large-Scale Image Classification,
ECCV10(IV: 143-156).
Springer DOI 1009
See also Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost. BibRef

Perronnin, F.[Florent], Liu, Y.[Yan], Sanchez, J.[Jorge], Poirier, H.[Herve],
Large-scale image retrieval with compressed Fisher vectors,
CVPR10(3384-3391).
IEEE DOI 1006
BibRef

de Campos, T.[Teófilo], Csurka, G.[Gabriela], Perronnin, F.[Florent],
Images as sets of locally weighted features,
CVIU(116), No. 1, January 2012, pp. 68-85.
Elsevier DOI 1112
Bag-of-visual-words; Image categorisation; Saliency estimation BibRef

McAuley, J.J.[Julian J.], de Campos, T.[Teofilo], Csurka, G.[Gabriela], Perronnin, F.[Florent],
Hierarchical Image-region Labeling via Structured Learning,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Oria, V.[Vincent], Özsu, M.T.[M. Tamer],
Views or Points of View on Images,
IJIG(3), No. 1, January 2003, pp. 55-79. 0301
BibRef

Oria, V.[Vincent], Ozsu, M.T.[M. Tamer], Liu, L.[Ling], Li, X.B.[Xiao-Bo], Li, J.[John], Niu, Y.P.[You-Ping], Iglinski, P.[Paul],
Modeling Images for Content-Based Queries: The DISIMA Approach,
Visual97(xx). BibRef 9700

Mutch, J.[Jim], Lowe, D.G.[David G.],
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields,
IJCV(80), No. 1, October 2008, pp. xx-yy.
Springer DOI 0809
BibRef
Earlier:
Multiclass Object Recognition with Sparse, Localized Features,
CVPR06(I: 11-18).
IEEE DOI 0606
BibRef

Helmer, S.[Scott], Lowe, D.G.[David G.],
Object Class Recognition with Many Local Features,
GenModel04(187).
IEEE DOI 0406
BibRef

Turcot, P.[Panu], Lowe, D.G.[David G.],
Better matching with fewer features: The selection of useful features in large database recognition problems,
Emergent09(2109-2116).
IEEE DOI 0910
Keep only a small subset of the training features for recognition. BibRef

Wong, R.C.F.[Roger C.F.], Leung, C.H.C.[Clement H.C.],
Automatic Semantic Annotation of Real-World Web Images,
PAMI(30), No. 11, November 2008, pp. 1933-1944.
IEEE DOI 0809
Discover semantics from metadata (i.e. what is encoded in the jpeg), color features, shape featues, texture. Detects outdoor portraits, indoor events, indoor portraits, night scenes, outdoor events, day scenes, sports. BibRef

Yu, F.Y.[Fei-Yang], Ip, H.H.S.[Horace H.S.], Leung, C.H.C.[Clement H.C.],
A Heuristic Search for Relevant Images on the Web,
CIVR05(599-608).
Springer DOI 0507
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.
WWW Link. 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: 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

Liu, J.[Jing], Li, M.J.[Ming-Jing], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Image annotation via graph learning,
PR(42), No. 2, February 2009, pp. 218-228.
WWW Link. 0810
Graph learning; Image annotation; Image similarity; Word correlation BibRef

Eler, D.M.[Danilo M.], Nakazaki, M.Y.[Marcel Y.], Paulovich, F.V.[Fernando V.], Santos, D.P.[Davi P.], Andery, G.F.[Gabriel F.], Oliveira, M.C.F.[Maria Cristina F.], Neto, J.B.[João Batista], Minghim, R.[Rosane],
Visual analysis of image collections,
VC(25), No. 10, October 2009, pp. xx-yy.
Springer DOI 0910
BibRef

Joia, P.[Paulo], Gomez-Nieto, E.[Erick], Neto, J.B.[João Batista], Casaca, W.[Wallace], Botelho, G.[Glenda], Paiva, A.[Afonso], Nonato, L.G.[Luis Gustavo],
Class-specific metrics for multidimensional data projection applied to CBIR,
VC(27), No. 10, October 2011, pp. 1027-1037.
WWW Link. 1209
BibRef

Casaca, W.[Wallace], Paiva, A.[Afonso], Gomez-Nieto, E.[Erick], Joia, P.[Paulo], Nonato, L.G.[Luis Gustavo],
Spectral Image Segmentation Using Image Decomposition and Inner Product-Based Metric,
JMIV(45), No. 3, March 2013, pp. 227-238.
WWW Link. 1301
BibRef

Casaca, W.[Wallace], Nonato, L.G.[Luis Gustavo], Taubin, G.[Gabriel],
Laplacian Coordinates for Seeded Image Segmentation,
CVPR14(384-391)
IEEE DOI 1409
graph cuts BibRef

Vallejo, C.G.[Carlos G.], Troyano, J.A.[Jose A.], Ortega, F.J.[F. Javier],
InstanceRank: Bringing order to datasets,
PRL(31), No. 2, 15 January 2010, pp. 133-142.
Elsevier DOI 1001
Instance-based learning; Instance reduction; Nearest neighbor; PageRank; Classification BibRef

Adhikari, J.[Jhimli], Rao, P.R.,
Measuring influence of an item in a database over time,
PRL(31), No. 3, 1 February 2010, pp. 179-187.
Elsevier DOI 1001
Confidence; Overall association; Overall influence; Synthesis of influence BibRef

Qin, J.Z.[Jian-Zhao], Yung, N.H.C.[Nelson H.C.],
Scene categorization via contextual visual words,
PR(43), No. 5, May 2010, pp. 1874-1888.
Elsevier DOI 1003
BibRef
And:
Category-specific incremental visual codebook training for scene categorization,
ICIP10(1501-1504).
IEEE DOI 1009
BibRef
Earlier:
Scene Categorization by Introducing Contextual Information to the Visual Words,
ISVC09(I: 297-306).
Springer DOI 0911
Scene categorization; Contextual visual words; Context based vision; Pattern recognition BibRef

Kim, S.H.[Seon Ho], Ay, S.A.[Sakire Arslan], Zimmermann, R.[Roger],
Design and implementation of geo-tagged video search framework,
JVCIR(21), No. 8, November 2010, pp. 773-786.
Elsevier DOI 1011
Video search; Geo-tagging; Meta-data; Scalability; Mobile video; Video ranking; GPS; Sensor BibRef

Ma, H.[He], Ay, S.A.[Sakire Arslan], Zimmermann, R.[Roger], Kim, S.H.[Seon Ho],
Large-scale geo-tagged video indexing and queries,
GeoInfo(18), No. 4, 2014, pp. 671-697.
WWW Link. 1410
BibRef

Lu, Y.[Ying], Shahabi, C.[Cyrus], Kim, S.H.[Seon Ho],
Efficient indexing and retrieval of large-scale geo-tagged video databases,
GeoInfo(20), No. 4, October 2016, pp. 829-857.
WWW Link. 1610
BibRef

Yuan, J.S.[Jun-Song], Luo, J.B.[Jie-Bo], Wu, Y.[Ying],
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections,
MultMed(12), No. 7, 2010, pp. 705-716.
IEEE DOI 1011
BibRef
Earlier:
Mining compositional features for boosting,
CVPR08(1-8).
IEEE DOI 0806
Cameras with GPS and time stamps. Use to annotate semantic events. See also Discovery of Collocation Patterns: from Visual Words to Visual Phrases. BibRef

Yuan, J.S.[Jun-Song], Yang, M.[Ming], Wu, Y.[Ying],
Mining discriminative co-occurrence patterns for visual recognition,
CVPR11(2777-2784).
IEEE DOI 1106
BibRef

Piedra-Fernandez, J.A., Canton-Garbin, M., Wang, J.Z.,
Feature Selection in AVHRR Ocean Satellite Images by Means of Filter Methods,
GeoRS(48), No. 12, December 2010, pp. 4193-4203.
IEEE DOI 1011
For retrieval, with temporal changes. BibRef

Ji, R.R.[Rong-Rong], Yao, H.X.[Hong-Xun], Xie, X.[Xing], Tian, Q.[Qi],
Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search,
MultMedMag(18), No. 3, 2011, pp. 66-77.
IEEE DOI 1108
BibRef

Ji, R.R.[Rong-Rong], Xie, X.[Xing], Yao, H.X.[Hong-Xun], Ma, W.Y.[Wei-Ying],
Vocabulary hierarchy optimization for effective and transferable retrieval,
CVPR09(1161-1168).
IEEE DOI 0906
Generate hierarchy for retrieval based on category density. BibRef

Ji, R.R.[Rong-Rong], Yao, H.X.[Hong-Xun], Sun, X.S.[Xiao-Shuai], Zhong, B.N.[Bi-Neng], Gao, W.[Wen],
Towards semantic embedding in visual vocabulary,
CVPR10(918-925).
IEEE DOI Video of talk:
WWW Link. 1006
Based on patches. Use Flickr labels for supervised construction. BibRef

Ji, R.R.[Rong-Rong], Duan, L.Y.[Ling-Yu], Chen, J.[Jie], Gao, W.[Wen],
Towards compact topical descriptors,
CVPR12(2925-2932).
IEEE DOI 1208
BibRef

Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.],
Holistic Context Models for Visual Recognition,
PAMI(34), No. 5, May 2012, pp. 902-917.
IEEE DOI 1204
BibRef
Earlier:
Holistic context modeling using semantic co-occurrences,
CVPR09(1889-1895).
IEEE DOI 0906
BibRef
Earlier:
A systematic study of the role of context on image classification,
ICIP08(1720-1723).
IEEE DOI 0810
BibRef
And:
A study of query by semantic example,
SLAM08(1-8).
IEEE DOI 0806
BibRef
And:
Scene classification with low-dimensional semantic spaces and weak supervision,
CVPR08(1-6).
IEEE DOI 0806
Based on probablility of co-occurrence of the objects in a scene. BibRef

Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.],
Latent Dirichlet Allocation Models for Image Classification,
PAMI(35), No. 11, 2013, pp. 2665-2679.
IEEE DOI 1309
Image classification BibRef

Dixit, M.[Mandar], Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.],
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification,
ICCV13(2672-2679)
IEEE DOI 1403
Bag of Words; Latent Dirichlet Allocation; Topic Supervision BibRef

Dixit, M.[Mandar], Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.],
Adapted Gaussian models for image classification,
CVPR11(937-943).
IEEE DOI 1106
BibRef

Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.], Moreno, P.J.[Pedro J.],
Query by Semantic Example,
CIVR06(51-60).
Springer DOI 0607
BibRef

Binder, A.[Alexander], Müller, K.R.[Klaus-Robert], Kawanabe, M.[Motoaki],
On Taxonomies for Multi-class Image Categorization,
IJCV(99), No. 3, September 2012, pp. 281-301.
WWW Link. 1206
BibRef

Binder, A.[Alexander], Kawanabe, M.[Motoaki], Brefeld, U.[Ulf],
Efficient Classification of Images with Taxonomies,
ACCV09(III: 351-362).
Springer DOI 0909
For classifying into taxonomy. Structured multiple SVM learning. Better than simple structured learning. BibRef

Kawanabe, M.[Motoaki], Nakajima, S.[Shinichi], Binder, A.[Alexander],
A procedure of adaptive kernel combination with kernel-target alignment for object classification,
CIVR09(Article No 23).
DOI Link 0907
BibRef

Binder, A.[Alexander], Samek, W.[Wojciech], Müller, K.R.[Klaus-Robert], Kawanabe, M.[Motoaki],
Enhanced representation and multi-task learning for image annotation,
CVIU(117), No. 5, May 2013, pp. 466-478.
Elsevier DOI 1303
Image ranking; Image classification; Multiple kernel learning; Multi task learning; Bag-of-Words representation; Biased random sampling; ImageCLEF; Mutual information BibRef

Samek, W.[Wojciech], Binder, A.[Alexander], Kawanabe, M.[Motoaki],
Multi-task Learning via Non-sparse Multiple Kernel Learning,
CAIP11(I: 335-342).
Springer DOI 1109
BibRef

Kawanabe, M.[Motoaki], Binder, A.[Alexander], Müller, C.[Christina], Wojcikiewicz, W.[Wojciech],
Multi-modal visual concept classification of images via Markov random walk over tags,
WACV11(396-401).
IEEE DOI 1101
BibRef

Binder, A.[Alexander], Wojcikiewicz, W.[Wojciech], Müller, C.[Christina], Kawanabe, M.[Motoaki],
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition,
ACCV10(III: 95-108).
Springer DOI 1011
BibRef

Wojcikiewicz, W.[Wojciech], Binder, A.[Alexander], Kawanabe, M.[Motoaki],
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck,
ICIP10(3849-3852).
IEEE DOI 1009
BibRef
And:
Enhancing Image Classification with Class-wise Clustered Vocabularies,
ICPR10(1060-1063).
IEEE DOI 1008
BibRef

Kim, K.[Kunho], Hasan, M.K.[Mohammad K.], Heo, J.P.[Jae-Pil], Tai, Y.W.[Yu-Wing], Yoon, S.E.[Sung-Eui],
Probabilistic cost model for nearest neighbor search in image retrieval,
CVIU(116), No. 9, September 2012, pp. 991-998.
Elsevier DOI 1208
Image retrieval; Nearest neighbor search; kd-tree BibRef

Heo, J.P.[Jae-Pil], Lee, Y.[Youngwoon], He, J.F.[Jun-Feng], Chang, S.F.[Shih-Fu], Yoon, S.E.[Sung-Eui],
Spherical Hashing: Binary Code Embedding with Hyperspheres,
PAMI(37), No. 11, November 2015, pp. 2304-2316.
IEEE DOI 1511
BibRef
Earlier:
Spherical hashing,
CVPR12(2957-2964).
IEEE DOI 1208
Hamming codes BibRef

Kinnunen, T.[Teemu], Kamarainen, J.K.[Joni-Kristian], Lensu, L.[Lasse], Kälviäinen, H.[Heikki],
Unsupervised object discovery via self-organisation,
PRL(33), No. 16, 1 December 2012, pp. 2102-2112.
Elsevier DOI 1210
BibRef
Earlier:
Unsupervised Visual Object Categorisation via Self-Organisation,
ICPR10(440-443).
IEEE DOI 1008
Unsupervised object discovery; Visual object categorisation; Object class detection; Self-organising map; Bag-of-features BibRef

Yancheshmeh, F.S.[Fatemeh Shokrollahi], Kämäräinen, J.K.[Joni-Kristian], Chen, K.[Ke],
Discovering Multi-relational Latent Attributes by Visual Similarity Networks,
FSLCV14(III: 3-14).
Springer DOI 1504
Distinguish between classes (dogs vs. cats), then within a class (which dog breed). BibRef

Kinnunen, T.[Teemu], Lankinen, J.[Jukka], Kämäräinen, J.K.[Joni-Kristian], Lensu, L.[Lasse],
Unsupervised Visual Object Categorisation with BoF and Spatial Matching,
SCIA13(384-395).
Springer DOI 1311
BibRef

Lankinen, J.[Jukka], Kamarainen, J.K.[Joni-Kristian],
Local Feature Based Unsupervised Alignment of Object Class Images,
BMVC11(xx-yy).
HTML Version. 1110
e.g. align rotated faces to get an average face. BibRef

Kinnunen, T.[Teemu], Kamarainen, J.K.[Joni-Kristian], Lensu, L.[Lasse], Lankinen, J.[Jukka], Kalviainen, H.[Heikki],
Making Visual Object Categorization More Challenging: Randomized Caltech-101 Data Set,
ICPR10(476-479).
IEEE DOI 1008
See also CalTech 101 Objects Categories. BibRef

Hu, J.W.[Ji-Wei], Lam, K.M.[Kin-Man],
An efficient two-stage framework for image annotation,
PR(46), No. 3, March 2013, pp. 936-947.
Elsevier DOI 1212
Image annotation; Multi-labeling; Label-filtering; Label-specific classifiers BibRef

Sun, C.S.[Chen-Sheng], Hu, J.W.[Ji-Wei], Lam, K.M.[Kin-Man],
A biased selection strategy for information recycling in Boosting cascade visual-object detectors,
PRL(40), No. 1, 2014, pp. 11-18.
Elsevier DOI 1403
Boosting BibRef

Hu, J.W.[Ji-Wei], Lam, K.M.[Kin Man], Qiu, G.P.[Guo-Ping],
A hierarchical algorithm for image multi-labeling,
ICIP10(2349-2352).
IEEE DOI 1009
BibRef

Jaber, T., Amira, A., Milligan, P.,
Enhanced approach for latent semantic indexing using wavelet transform,
IET-IPR(6), No. 9, 2012, pp. 1236-1245.
DOI Link 1302
BibRef

Jaber, T., Amira, A., Milligan, P.,
A Novel Approach for Lexical Noise Analysis and Measurement in Intelligent Information Retrieval,
ICPR06(III: 370-373).
IEEE DOI 0609
BibRef

Zhang, C.J.[Chun-Jie], Wang, S.H.[Shu-Hui], Huang, Q.M.[Qing-Ming], Liu, J.[Jing], Liang, C.[Chao], Tian, Q.[Qi],
Image classification using spatial pyramid robust sparse coding,
PRL(34), No. 9, July 2013, pp. 1046-1052.
Elsevier DOI 1305
Image classification; Robust sparse coding; Spatial pyramid coding BibRef

Li, Y.H.[Yu-Hui], Xu, J.C.[Jiu-Cheng], Zhang, Y.[Yifan], Zhang, C.J.[Chun-Jie], Yin, H.S.[Hong-Sheng], Lu, H.Q.[Han-Qing],
Image Classification Using Spatial Difference Descriptor Under Spatial Pyramid Matching Framework,
MMMod16(I: 527-539).
Springer DOI 1601
BibRef

Zhang, C.J.[Chun-Jie], Liu, J.[Jing], Wang, J.Q.[Jin-Qiao], Tian, Q.[Qi], Xu, C.S.[Chang-Sheng], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting,
ACCV10(III: 239-249).
Springer DOI 1011
BibRef

Zhang, C.J.[Chun-Jie], Wang, S.H.[Shu-Hui], Huang, Q.M.[Qing-Ming], Liang, C.[Chao], Liu, J.[Jing], Tian, Q.[Qi],
Laplacian affine sparse coding with tilt and orientation consistency for image classification,
JVCIR(24), No. 7, 2013, pp. 786-793.
Elsevier DOI 1309
Image classification BibRef

Kulkarni, G.[Girish], Premraj, V.[Visruth], Ordonez, V.[Vicente], Dhar, S.[Sagnik], Li, S.M.[Si-Ming], Choi, Y.J.[Ye-Jin], Berg, A.C.[Alexander C.], Berg, T.L.[Tamara L.],
BabyTalk: Understanding and Generating Simple Image Descriptions,
PAMI(35), No. 12, 2013, pp. 2891-2903.
IEEE DOI 1311
BibRef
Earlier: A1, A2, A4, A5, A6, A7, A8, Only: CVPR11(1601-1608).
IEEE DOI 1106
Computer vision BibRef

Dhar, S.[Sagnik], Ordonez, V.[Vicente], Berg, T.L.[Tamara L.],
High level describable attributes for predicting aesthetics and interestingness,
CVPR11(1657-1664).
IEEE DOI 1106
BibRef

Berg, T.L.[Tamara L.], Berg, A.C.[Alexander C.], Shih, J.[Jonathan],
Automatic Attribute Discovery and Characterization from Noisy Web Data,
ECCV10(I: 663-676).
Springer DOI 1009
BibRef
Earlier: A1, A2, Only:
Finding iconic images,
InterNet09(1-8).
IEEE DOI 0906
Automatically find representative example images from set of images of the category. BibRef

Benavent, X., Garcia-Serrano, A., Granados, R., Benavent, J., de Ves, E.,
Multimedia Information Retrieval Based on Late Semantic Fusion Approaches: Experiments on a Wikipedia Image Collection,
MultMed(15), No. 8, December 2013, pp. 2009-2021.
IEEE DOI 1412
Internet BibRef

Arun, K.S., Govindan, V.K.,
Optimizing visual dictionaries for effective image retrieval,
MultInfoRetr(4), No. 3, September 2015, pp. 165-185.
Springer DOI 1508
BibRef

Kou, N.M.[Ngai Meng], U, L.H.[Leong Hou], Yang, Y.Y.[Yi-Yang], Gong, Z.G.[Zhi-Guo],
Travel topic analysis: A mutually reinforcing method for geo-tagged photos,
GeoInfo(19), No. 4, October 2015, pp. 693-721.
WWW Link. 1511
BibRef

Li, Y.N.[Yue Nan], Wang, P.[Ping], Su, Y.T.[Yu Ting],
Robust Image Hashing Based on Selective Quaternion Invariance,
SPLetters(22), No. 12, December 2015, pp. 2396-2400.
IEEE DOI 1512
copy protection BibRef

Feng, L.[Lin], Wu, J.[Jun], Liu, S.L.[Sheng-Lan], Zhang, H.W.[Hong-Wei],
Global Correlation Descriptor: A novel image representation for image retrieval,
JVCIR(33), No. 1, 2015, pp. 104-114.
Elsevier DOI 1512
Image retrieval BibRef

Ma, C.[Chao], Liu, C.[Chuancai], Peng, F.[Furong], Liu, J.[Jia],
Multi-feature Hashing Tracking,
PRL(69), No. 1, 2016, pp. 62-71.
Elsevier DOI 1601
Hashing BibRef

Gbèhounou, S.[Syntyche], Lecellier, F.[François], Fernandez-Maloigne, C.[Christine],
Image database indexing: Emotional impact assessing,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
WWW Link. 1601
Thesis summary. BibRef

Le, H.T.[Huu Ton], Urruty, T.[Thierry], Gbèhounou, S.[Syntyche], Lecellier, F.[François], Martinet, J.[Jean], Fernandez-Maloigne, C.[Christine],
Improving retrieval framework using information gain models,
SIViP(11), No. 2, February 2017, pp. 309-316.
WWW Link. 1702
BibRef

Shen, X., Shen, F., Sun, Q.S., Yuan, Y.H., Shen, H.T.,
Robust Cross-view Hashing for Multimedia Retrieval,
SPLetters(23), No. 6, June 2016, pp. 893-897.
IEEE DOI 1606
Binary codes BibRef

Wu, L.[Lin], Wang, Y.[Yang],
Robust hashing for multi-view data: Jointly learning low-rank kernelized similarity consensus and hash functions,
IVC(57), No. 1, 2017, pp. 58-66.
Elsevier DOI 1702
Multiple feature learning BibRef

Xu, W.M.[Wang-Ming], Wu, S.Q.[Shi-Qian], Er, M.J.[Meng Joo], Zheng, C.B.[Chao-Bing], Qiu, Y.M.[Yi-Min],
New non-negative sparse feature learning approach for content-based image retrieval,
IET-IPR(11), No. 9, September 2017, pp. 724-733.
DOI Link 1709
BibRef

Ng, W.W.Y., Tian, X., Lv, Y., Yeung, D.S., Pedrycz, W.,
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments,
Cyber(47), No. 11, November 2017, pp. 3814-3826.
IEEE DOI 1710
Computer science, Computers, Cybernetics, Semantics, Concept drift, hashing, nonstationary environment, semantic, image, retrieval BibRef


Sun, H.R.[Hong-Ru], Liu, R.T.[Run-Tao],
Research on directional and distance query algorithm based on MOIS-tree,
ICWAPR16(78-83)
IEEE DOI 1611
Algorithm design and analysis BibRef

Yu, H.H.[Hong-Hai], Moulin, P.[Pierre],
Multi-feature hashing based on SNR maximization,
ICIP15(1815-1819)
IEEE DOI 1512
Hashing; multi-feature; signal-to-noise ratio BibRef

Chang, C.[Cheng], Liu, R.T.[Run-Tao],
The furthest neighbor query of space K,
ICWAPR15(64-69)
IEEE DOI 1511
database indexing BibRef

Alsaedi, A.K.Z.[Ahmed Khalaf Zager], Ghazali, R.[Rozaida], Deris, M.M.[Mustafa Mat],
An Efficient Multi Join Query Optimization for Relational Database Management System Using Two Phase Artificial Bess Colony Algorithm,
IVIC15(213-226).
Springer DOI 1511
BibRef

Kozlowski, M.[Marek],
Web Search Results Clustering Using Frequent Termset Mining,
PReMI15(525-534).
Springer DOI 1511
BibRef

Papushoy, A.[Alex], Bors, A.G.[Adrian G.],
Visual attention for content based image retrieval,
ICIP15(971-975)
IEEE DOI 1512
BibRef
Earlier:
Content Based Image Retrieval Based on Modelling Human Visual Attention,
CAIP15(I:137-148).
Springer DOI 1511
Content based image retrieval BibRef

Ng, J.Y.H.[Joe Yue-Hei], Yang, F.[Fan], Davis, L.S.[Larry S.],
Exploiting local features from deep networks for image retrieval,
DeepLearn15(53-61)
IEEE DOI 1510
Artificial neural networks BibRef

Lin, Z.J.[Zi-Jia], Ding, G.G.[Gui-Guang], Hu, M.Q.[Ming-Qing], Wang, J.M.[Jian-Min],
Semantics-preserving hashing for cross-view retrieval,
CVPR15(3864-3872)
IEEE DOI 1510
BibRef

Do, T.T.[Thanh-Toan], Tran, Q.D.[Quang D.], Cheung, N.M.[Ngai-Man],
FAemb: A function approximation-based embedding method for image retrieval,
CVPR15(3556-3564)
IEEE DOI 1510
BibRef

Xia, Y.[Yan], He, K.M.[Kai-Ming], Kohli, P.[Pushmeet], Sun, J.[Jian],
Sparse projections for high-dimensional binary codes,
CVPR15(3332-3339)
IEEE DOI 1510
BibRef

Zhou, B.[Bolei], Jagadeesh, V.[Vignesh], Piramuthu, R.[Robinson],
ConceptLearner: Discovering visual concepts from weakly labeled image collections,
CVPR15(1492-1500)
IEEE DOI 1510
BibRef

Kim, S.[Saehoon], Choi, S.J.[Seung-Jin],
Bilinear random projections for locality-sensitive binary codes,
CVPR15(1338-1346)
IEEE DOI 1510
BibRef

Johnson, J.[Justin], Krishna, R.[Ranjay], Stark, M.[Michael], Li, L.J.[Li-Jia], Shamma, D.A.[David A.], Bernstein, M.S.[Michael S.], Fei-Fei, L.[Li],
Image retrieval using scene graphs,
CVPR15(3668-3678)
IEEE DOI 1510
BibRef

Shi, M.J.[Miao-Jing], Avrithis, Y.[Yannis], Jegou, H.[Herve],
Early burst detection for memory-efficient image retrieval,
CVPR15(605-613)
IEEE DOI 1510
BibRef

Carreira-Perpinan, M.A.[Miguel A.], Raziperchikolaei, R.[Ramin],
Hashing with binary autoencoders,
CVPR15(557-566)
IEEE DOI 1510
BibRef

Zhao, F.[Fang], Huang, Y.Z.[Yong-Zhen], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
Deep semantic ranking based hashing for multi-label image retrieval,
CVPR15(1556-1564)
IEEE DOI 1510
BibRef

Cuellar, D.[Daniel], Diaz, E.[Elva], Ponce-de-Leon-Senti, E.[Eunice],
Improving Information Retrieval Through a Global Term Weighting Scheme,
MCPR15(246-257).
Springer DOI 1506
BibRef

Hoschl, C.[Cyril], Flusser, J.[Jan],
Noise-Resistant Image Retrieval,
ICPR14(2972-2977)
IEEE DOI 1412
Retrieved according to histogram similarity. BibRef

Ahmed, E.[Ejaz], Cohen, S.[Scott], Price, B.L.[Brian L.],
Semantic Object Selection,
CVPR14(3150-3157)
IEEE DOI 1409
Image Retrieval BibRef

Aytar, Y.[Yusuf], Zisserman, A.[Andrew],
Immediate, Scalable Object Category Detection,
CVPR14(2385-2392)
IEEE DOI 1409
image retrieval; object category detection BibRef

Ezekiel, S., Alford, M.G., Ferris, D., Jones, E., Bubalo, A., Gorniak, M., Blasch, E.,
Multi-scale decomposition tool for Content Based Image Retrieval,
AIPR13(1-5)
IEEE DOI 1408
content-based retrieval BibRef

Fan, L.X.[Li-Xin],
Supervised Binary Hash Code Learning with Jensen Shannon Divergence,
ICCV13(2616-2623)
IEEE DOI 1403
Jensen Shannon Divergence BibRef

Wang, J.[Jun], Liu, W.[Wei], Sun, A.X.[Andy X.], Jiang, Y.G.[Yu-Gang],
Learning Hash Codes with Listwise Supervision,
ICCV13(3032-3039)
IEEE DOI 1403
BibRef

Ballan, L.[Lamberto], Bertini, M.[Marco], del Bimbo, A.[Alberto], Serain, A.M.[Andrea M.], Serra, G.[Giuseppe], Zaccone, B.F.[Benito F.],
Combining generative and discriminative models for classifying social images from 101 object categories,
ICPR12(1731-1734).
WWW Link. 1302
Latent Dirichlet Allocation and SVM classifiers BibRef

Liu, X.Q.[Xian-Qing], Huang, J.[Jing], Zhang, C.Y.[Chao-Ying],
System framework design of automated data mining technology based on intelligent agents,
IASP11(653-655).
IEEE DOI 1112
BibRef

Datta, D.,
Data mining by density estimation using wavelet,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Spehr, M.[Marcel], Gumhold, S.[Stefan], Fleming, R.W.[Roland W.],
Sum-of-Superellipses: A Low Parameter Model for Amplitude Spectra of Natural Images,
CIAP11(I: 128-138).
Springer DOI 1109
Based on statistical analysis of natural images. Natural world is structured. BibRef

Watcharapinchai, N.[Nattachai], Aramvith, S.[Supavadee], Siddhichai, S.[Supakorn],
Two-Probabilistic Latent Semantic Model for Image Annotation and Retrieval,
VECTaR10(359-369).
Springer DOI 1109
BibRef

Joly, A.[Alexis], Buisson, O.[Olivier],
Random maximum margin hashing,
CVPR11(873-880).
IEEE DOI 1106
embed description in hash code. BibRef

Siddiquie, B.[Behjat], Feris, R.S.[Rogerio S.], Davis, L.S.[Larry S.],
Image ranking and retrieval based on multi-attribute queries,
CVPR11(801-808).
IEEE DOI 1106
BibRef

Nasierding, G.[Gulisong], Kouzani, A.Z.[Abbas Z.],
Empirical Study of Multi-label Classification Methods for Image Annotation and Retrieval,
DICTA10(617-622).
IEEE DOI 1012
Not just a single label from classifier works. BibRef

Wang, H.[Hua], Hu, J.[Jian],
Multi-label image annotation via Maximum Consistency,
ICIP10(2337-2340).
IEEE DOI 1009
Multiple key-words for each image. BibRef

Xing, X.[Xing], Zhang, Y.[Yi], Gong, B.[Bo],
Mixture model based contextual image retrieval,
CIVR10(251-258).
DOI Link 1007
BibRef

Yilmaz, T.[Turgay], Yazici, A.[Adnan], Kitsuregawa, M.[Masaru],
Non-linear weighted averaging for multimodal information fusion by employing Analytical Network Process,
ICPR12(234-237).
WWW Link. 1302
BibRef

Yilmaz, T.[Turgay], Gulen, E.[Elvan], Yazici, A.[Adnan], Kitsuregawa, M.[Masaru],
A RELIEF-based modality weighting approach for multimodal information retrieval,
ICMR12(54).
DOI Link 1301
RELIEF-RDR BibRef

Arslan, S.[Serdar], Sacan, A.[Ahmet], Acar, E.[Esra], Toroslu, I.H.[I. Hakki], Yazici, A.[Adnan],
Comparison of Multidimensional Data Access Methods for Feature-Based Image Retrieval,
ICPR10(3260-3263).
IEEE DOI 1008
BibRef

Beran, V.[Vítezslav], Zemcík, P.[Pavel],
Visual Codebooks Survey for Video On-Line Processing,
ICCVG10(I: 1-10).
Springer DOI 1009
Image retreival using building examples. BibRef

Sabet, M.[Mojtaba], Firouzmand, M.[Mohamad], Ayat, S.[Saeed],
Neural Based Approach for Fast Retrieval of Symbolic Images in Database,
ICMV09(161-165).
IEEE DOI 0912
BibRef

Sun, Z.H.[Zhong-Hua], Jia, K.[Kebin], Zhao, G.[Gang], Fu, P.[Ping],
Hierarchical Clustering Tree for Organizing and Indexing of Image Database,
CISP09(1-4).
IEEE DOI 0910
BibRef

Hu, Y.Y.[Yuan-Yuan], Niu, X.M.[Xia-Mu], Zhang, H.[Hui],
Image Hashing Algorithm via Iterative Scale Interaction Geometric Model,
CISP09(1-5).
IEEE DOI 0910
BibRef
And:
A Novel Perceptual Image Hashing Method via Geometric Features and Distance Invariant,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wang, W.S.[Wen-Sheng], Wu, J.J.,
Training Asymmetry SVM in Image Retrieval Using Unlabeled Data,
CISP09(1-5).
IEEE DOI 0910
BibRef

Xu, H.L.[Hong-Li], Yu, D.T.[Dan-Tong], Xu, D.[De], Zhang, A.[Aidong],
SS-ClusterTree: a subspace clustering based indexing algorithm over high-dimensional image features,
CIVR08(95-104). 0807
BibRef

Han, E.[Eunjung], Park, A.[Anjin], Jung, K.C.[Kee-Chul],
Contents Recycling Using Content-Based Image Retrieval on Mobile Device,
CIVR05(405-414).
Springer DOI 0507
BibRef

Çavus, Ö.[Özge], Aksoy, S.[Selim],
Semantic Scene Classification for Image Annotation and Retrieval,
SSPR08(402-410).
Springer DOI 0812
BibRef

Rodríguez-González, A.Y.[Ansel Y.], Martínez-Trinidad, J.F.[José Francisco], Carrasco-Ochoa, J.A.[Jesús Ariel], Ruiz-Shulcloper, J.[José],
Mining Frequent Similar Patterns on Mixed Data,
CIARP08(136-144).
Springer DOI 0809
BibRef

Hernández-León, R.[Raudel], Hernández-Palancar, J.[José], Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F.[J. Francisco],
A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets,
CIARP08(145-152).
Springer DOI 0809
BibRef

Yazdi, M.S., Moghaddam, M.E.,
A fast indexing and retrieval method for image databases,
WSSIP08(311-314).
IEEE DOI 0806
BibRef

Rocha, A.[Anderson], Almeida, J.[Jurandy], Nascimento, M.A.[Mario A.], Torres, R.[Ricardo], Goldenstein, S.K.[Siome K.],
Efficient and Flexible Cluster-and-Search for CBIR,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Shao, W.B.[Wen-Bin], Naghdy, G.[Golshah], Phung, S.L.[Son Lam],
Automatic Image Annotation for Semantic Image Retrieval,
Visual07(369-378).
Springer DOI 0706
BibRef

Moëllic, P.A.[Pierre-Alain], Haugeard, J.E.[Jean-Emmanuel], Pitel, G.[Guillaume],
Image clustering based on a shared nearest neighbors approach for tagged collections,
CIVR08(269-278). 0807
BibRef

Pitel, G.[Guillaume], Millet, C.[Christophe], Grefenstette, G.[Gregory],
Deriving a Priori Co-occurrence Probability Estimates for Object Recognition from Social Networks and Text Processing,
ISVC07(II: 509-518).
Springer DOI 0711
Human annotated online images. BibRef

Lecca, M.[Michela], Messelodi, S.[Stefano],
Rotation, Rescaling and Occlusion Invariant Object Retrieval,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Mekuz, N.[Nathan], Tsotsos, J.K.[John K.],
Hierarchical Learning of Dominant Constellations for Object Class Recognition,
ACCV07(I: 492-501).
Springer DOI 0711
Features for determining object class. BibRef

Kalva, P., Enembreck, F., Koerich, A.,
WEB Image Classification Based on the Fusion of Image and Text Classifiers,
ICDAR07(561-568).
IEEE DOI 0709
BibRef

Roth, G.[Gerhard], Scott, W.[William],
Efficient indexing for strongly similar subimage retrieval,
CRV07(440-447).
IEEE DOI 0705
BibRef

Uysal, M., Akbas, E., Yarman-Vural, F.T.,
A Hierarchical Classification System Based on Adaptive Resonance Theory,
ICIP06(2913-2916).
IEEE DOI 0610
emulates the eye-brain channel in two hierarchical layers. First layer: simple features. Second layer: Classifier. See also Automatic linguistic indexing of pictures by a statistical modeling approach. BibRef

Ben Ismail, M.M.[M. Maher], Frigui, H.[Hichem],
Image database categorization using robust unsupervised learning of finite generalized dirichlet mixture models,
ICIP11(2457-2460).
IEEE DOI 1201
BibRef
Earlier:
Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture,
ICPR10(573-576).
IEEE DOI 1008
BibRef
And:
Image database categorization using robust modeling of finite Generalized Dirichlet mixture,
IPTA10(334-339).
IEEE DOI 1007
BibRef

Ben Ismail, M.M.[M. Maher], Frigui, H.[Hichem], Caudill, J.[Joshua],
Empirical Comparison of Automatic Image Annotation Systems,
IPTA08(1-8).
IEEE DOI 0811
BibRef

Frigui, H.[Hichem], Caudill, J.[Joshua],
Region Based Image Annotation,
ICIP06(953-956).
IEEE DOI 0610
BibRef
And:
Building a Multi-Modal Thesaurus from Annotated Images,
ICPR06(IV: 198-201).
IEEE DOI 0609
Learn associations between images and words, given annotated images. BibRef

Li, H.Y.[Hong-Yu], Shi, R.J.[Rong-Jie], Chen, W.B.[Wen-Bin], Shen, I.F.[I-Fan],
Image Tangent Space for Image Retrieval,
ICPR06(II: 1126-1130).
IEEE DOI 0609
BibRef

Ngo, C.W.[Chong-Wah], Pan, Z.L.[Zai-Liang], Wei, X.Y.[Xiao-Yong],
Hierarchical Hidden Markov Model for Rushes Structuring and Indexing,
CIVR06(241-250).
Springer DOI 0607
BibRef

Magalhães, J.[João], Rüger, S.[Stefan],
Logistic Regression of Generic Codebooks for Semantic Image Retrieval,
CIVR06(41-50).
Springer DOI 0607
BibRef

Hare, J.S.[Jonathon S.], Lewis, P.H.[Paul H.], Enser, P.G.B.[Peter G. B.], Sandom, C.J.[Christine J.],
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval,
CIVR06(31-40).
Springer DOI 0607
BibRef

Enser, P.G.B.[Peter G.B.], Sandom, C.J.[Christine J.], Lewis, P.H.[Paul H.],
Automatic Annotation of Images from the Practitioner Perspective,
CIVR05(497-506).
Springer DOI 0507
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
A New Approach to Camera Image Indexing,
CAIP05(137).
Springer DOI 0509
BibRef

Senel, K.[Kamil], Mihcak, M.K.[M. Kivanc], Monga, V.[Vishal],
A learning framework for robust hashing of face images,
ICIP10(197-200).
IEEE DOI 1009
BibRef

Kozat, S.S., Venkatesan, R., Mihcak, M.K.,
Robust perceptual image hashing via matrix invariants,
ICIP04(V: 3443-3446).
IEEE DOI 0505
BibRef

Li, Y.[Yi], Bilmes, J.A., Shapiro, L.G.,
Object class recognition using images of abstract regions,
ICPR04(I: 40-43).
IEEE DOI 0409
Find objects by class. BibRef

Tanaka, H., Sakano, H., Ohtsuka, S.,
Retrieval method for multi-category images,
ICPR04(II: 965-968).
IEEE DOI 0409
BibRef

Huang, F.J.[Fu Jie], Le Cun, Y.L.[Yann L.],
Large-scale Learning with SVM and Convolutional for Generic Object Categorization,
CVPR06(I: 284-291).
IEEE DOI 0606
BibRef

Le Cun, Y.L.[Yann L.], Huang, F.J.[Fu Jie], Bottou, L.[Leon],
Learning methods for generic object recognition with invariance to pose and lighting,
CVPR04(II: 97-104).
IEEE DOI And:
PDF File.
WWW Link. 0408
Dataset, Objects. Real time implementation. Find generic objects. BibRef

Lim, J.W.[Jong-Woo], Ho, J.[Jeffrey], Yang, M.H.[Ming-Hsuan], Lee, K.C.[Kuang-Chih], Kriegman, D.J.[David J.],
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry,
ECCV04(Vol I: 456-468).
Springer DOI 0405
For different viewpoints. Use the L2 distance metric of the image space, the local linear structure of the appearance manifolds, and the action of the 2D affine group in the image space. BibRef

Wang, J.Z., Li, J.[Jia], Lin, S.C.[Sui Ching],
Evaluation strategies for automatic linguistic indexing of pictures,
ICIP03(III: 617-620).
IEEE DOI 0312
BibRef

Cooper, M., Foote, J., Girgensohn, A.,
Automatically organizing digital photographs using time and content,
ICIP03(III: 749-752).
IEEE DOI 0312
BibRef

Ahmad, I., Jang, T.S.[Taek-Sueng],
Old fashion text-based image retrieval using FCA,
ICIP03(III: 33-36).
IEEE DOI 0312
BibRef

Käster, T.[Thomas], Wendt, V.[Volker], Sagerer, G.[Gerhard],
Comparing Clustering Methods for Database Categorization in Image Retrieval,
DAGM03(228-235).
Springer DOI 0310
BibRef

Kaneko, S., Mae, T., Miyamoto, A.,
Using, constraint inequality on estimated correlation for rapid image search,
ICPR02(I: 87-90).
IEEE DOI 0211
BibRef

Luo, J.,
On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs,
ICIP00(Vol III: 512-515).
IEEE DOI 0008
BibRef

Chang, R.F., Kuo, W.J.,
Image Retrieval on Uncompressed and Compressed Domains,
ICIP00(Vol II: 546-549).
IEEE DOI 0008
BibRef

Srihari, R.K.[Rohini K.], Rao, A.[Aibing], Han, B.[Benjaimin], Munirathnam, S.[Srikanth], Wu, X.Y.[Xiao-Yun],
A Model for Multimodal Information Retrieval,
ICME00(TA4). 0007
BibRef

Chang, Y.C.[Yuan-Chi], Li, C.S.[Chung-Sheng],
Indexing for Linear Model-based Information Retrieval,
ICME00(MP5). 0007
BibRef

Tian, Q.[Qi], Wu, Y.[Ying], Huang, T.S.[Thomas S.],
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval,
ICME00(MP5). 0007
BibRef

Wu, Y.[Ying], Tian, Q.[Qi], Huang, T.S.[Thomas S.],
Discriminant-EM Algorithm with Application to Image Retrieval,
CVPR00(I: 222-227).
IEEE DOI 0005
BibRef

Piamsa-Nga, P.[Punpiti], Alexandridis, N.A.[Nikitas A.], Blankenship, Jr., G.C., Subramanya, S.R.,
In-picture search algorithm for content-based image retrieval,
ICIP99(I:129-133).
IEEE DOI BibRef 9900

Yang, Z.J.[Zi-Jun], Kuo, C.C.J.[C.C. Jay],
A Semantic Classification and Composite Indexing Approach to Robust Image Retrieval,
ICIP99(I:134-138).
IEEE DOI BibRef 9900

Schweitzer, H.[Haim],
Optimal Eigenfeature Selection by Optimal Image Registration,
CVPR99(I: 219-224).
IEEE DOI BibRef 9900

Keaton, T., Goodman, R.,
A Compression Framework for Content Analysis,
CBAIVL99(xx-yy). BibRef 9900

Marie-Julie, J.M., Essafi, H.,
Using IFs and Moments to Build a Quasi Invariant Image Index,
ECCV98(I: 578).
Springer DOI BibRef 9800

Ravela, S., and Manmatha, R.,
On Computing Global Similarity in Images,
WACV98(82-87).
WWW Link. 9809
BibRef
And:
Computing Global Image Similarity,
DARPA98(1283-1288). BibRef
And:
Retrieving Images by Appearance,
ICCV98(608-613).
IEEE DOI BibRef
Earlier:
Retrieving Images by Similarity of Visual Appearance,
CBAIVL97(67).
IEEE DOI 9706
BibRef

Ravela, S., Manmatha, R., Riseman, E.M.,
Scale-Space Matching and Image Retrieval,
ARPA96(1199-1208). BibRef 9600
And:
Image Retrieval Using Scale-Space Matching,
ECCV96(I:273-282).
Springer DOI BibRef

Ravela, S., Manmatha, R.,
A Characterization of Visual Appearance Applied to Image Retrieval,
DARPA97(693-700). BibRef 9700

Shokoufandeh, A.[Ali], Marsic, I.[Ivan], and Dickinson, S.J.[Sven J.],
View-Based Object Matching,
ICCV98(588-595).
IEEE DOI BibRef 9800

Sheikholeslami, G.[Gholamhosein], and Zhang, A.D.[Ai-Dong],
Feature Visualization and Analysis for Image Classification and Retrieval,
Visual97(xx). BibRef 9700

Djeraba, C.[Chabane], Bouet, M.[Marinette], Briand, H.[Henri],
Content-based Query and Indexing,
Visual97(xx). BibRef 9700

Myka, A., Guentzer, U.,
Measuring the Effects of OCR Errors on Similarity Linking,
ICDAR97(968-973).
IEEE DOI 9708
BibRef

Esposito, F., Antifora, C.D., de Gennaro, G., Malerba, D., Semeraro, G.,
Information Capture and Semantic Indexing of Digital Libraries Through Machine Learning Techniques,
ICDAR97(722-727).
IEEE DOI 9708
BibRef

Stevens, M.R.[Mark R.], Beveridge, J.R.[J. Ross], Anderson, C.W.[Charles W.],
A Neural Network Approach to Indexing,
DARPA97(1289-1290). BibRef 9700

Lipman, A.[Aaron], Yang, W.[Woodward],
Hardware for Context-Based Image Queries,
DARPA97(1385-1388). BibRef 9700

Shek, E.C., Vellaikal, A., Dao, S.K., Perry, B.,
Semantic agents for content-based discovery in distributed image libraries,
CBAIVL98(19-23).
IEEE Top Reference. 0208
BibRef

Mohr, R., Picard, S., Schmid, C.,
Bayesian decision versus voting for image retrieval,
CAIP97(376-383).
Springer DOI 9709
BibRef

Jacobs, C., Finkelstein, A., and Salesin, D.H.,
Fast Multiresolution Image Querying,
SIGGraph-95(277-285). Los Angeles, CA. 1995 BibRef 9500

Arimura, K., Hagita, N.,
Feature space design for image recognition with image screening,
ICPR96(II: 261-265).
IEEE DOI 9608
BibRef
Earlier:
Image screening based on projection pursuit for image recognition,
ICPR94(B:414-417).
IEEE DOI 9410
(NTT, J) BibRef

Milanese, R.[Ruggero], Squire, D.M.[David M.], Pun, T.[Thierry],
Correspondence Analysis and Hierarchical Indexing for Content-Based Image Retrieval,
ICIP96(III: 859-862).
IEEE DOI BibRef 9600

Bost, J.M.[Jean-Marc], Milanese, R.[Ruggero], Pun, T.[Thierry],
Temporal precedence in asynchronous visual indexing,
CAIP93(468-475).
Springer DOI 9309
BibRef

Werman, M.[Michael], Weinshall, D.[Daphna], and Shashua, A.[Amnon],
Shape Tensors for Efficient and Learnable Indexing,
RVS95(xx). BibRef 9500

Weinshall, D., Werman, M., Shashua, A.,
Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors,
ECCV96(II:217-227).
Springer DOI BibRef 9600

Werman, M., Weinshall, D.,
Complexity of Indexing: Efficient and Learnable Large Database Indexing,
ECCV96(I:660-670).
Springer DOI BibRef 9600
And: ARPA96(1193-1198). Analysis of indexing techniques. BibRef

Yamamoto, A., Takagi, M.,
Extraction of Object Features from Image and Its Application to Image Retrieval,
ICPR88(II: 988-991).
IEEE DOI BibRef 8800

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
General Similarity Measures for Database Indexing .


Last update:Nov 11, 2017 at 13:31:57