20.4.4 Image Database Indexing Techniques

UT Zappos50K,
Dataset, Shoes.
WWW Link. 1806
University of Texas shoe dataset. 50,025 images.

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

Minka, T.P., Picard, R.W.,
Interactive Learning with a Society of Models,
PR(30), No. 4, April 1997, pp. 565-581.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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 1006
Dataset, Recognition.
WWW Link. 131067 images, 908 categories, objects and object categories. BibRef

Xiao, J.X.[Jian-Xiong], Ehinger, K.A.[Krista A.], Hays, J.[James], Torralba, A.B.[Antonio B.], Oliva, A.[Aude],
SUN Database: Exploring a Large Collection of Scene Categories,
IJCV(119), No. 1, August 2016, pp. 3-22.
Springer DOI 1608
Dataset, Object Recognition.
WWW Link. 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.
Elsevier DOI 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.J.[Ya-Jun], 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.
Elsevier DOI 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
Award, Koenderink Prize.
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.E.[Teofilo E.], 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

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.
Elsevier DOI 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], Gois, J.P.[João Paulo], Batagelo, H.C.[Harlen Costa], Taubin, G.[Gabriel], Nonato, L.G.[Luis Gustavo],
Laplacian Coordinates: Theory and Methods for Seeded Image Segmentation,
PAMI(43), No. 8, August 2021, pp. 2665-2681.
IEEE DOI 2107
BibRef
Earlier: A1, A5, A4, Only:
Laplacian Coordinates for Seeded Image Segmentation,
CVPR14(384-391)
IEEE DOI 1409
Image segmentation, Laplace equations, Minimization, Mathematical model, Tools, Computational modeling, energy minimization models. 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
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IEEE DOI 1011
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Mining compositional features for boosting,
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IEEE DOI 0806
Cameras with GPS and time stamps. Use to annotate semantic events.
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CVPR11(2777-2784).
IEEE DOI 1106
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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
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IEEE DOI 1204
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Earlier:
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CVPR09(1889-1895).
IEEE DOI 0906
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Earlier:
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ICIP08(1720-1723).
IEEE DOI 0810
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And:
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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.],
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Rasiwasia, N.[Nikhil], Vasconcelos, N.M.[Nuno M.], Moreno, P.J.[Pedro J.],
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Springer DOI 0607
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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

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GCPR17(153-164).
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Kawanabe, M.[Motoaki], Binder, A.[Alexander], Müller, C.[Christina], Wojcikiewicz, W.[Wojciech],
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Springer DOI 1011
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Wojcikiewicz, W.[Wojciech], Binder, A.[Alexander], Kawanabe, M.[Motoaki],
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ICIP10(3849-3852).
IEEE DOI 1009
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ICPR10(1060-1063).
IEEE DOI 1008
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Kim, K.[Kunho], Hasan, M.K.[Mohammad K.], Heo, J.P.[Jae-Pil], Tai, Y.W.[Yu-Wing], Yoon, S.E.[Sung-Eui],
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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],
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IEEE DOI 1511
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IEEE DOI 1208
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Elsevier DOI 1210
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ICPR10(440-443).
IEEE DOI 1008
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Kinnunen, T.[Teemu], Lankinen, J.[Jukka], Kämäräinen, J.K.[Joni-Kristian], Lensu, L.[Lasse],
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Image annotation; Multi-labeling; Label-filtering; Label-specific classifiers BibRef

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IEEE DOI 0609
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Image classification; Robust sparse coding; Spatial pyramid coding BibRef

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IEEE DOI 1311
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Berg, T.L.[Tamara L.], Berg, A.C.[Alexander C.], Shih, J.[Jonathan],
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Springer DOI 1009
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IEEE DOI 0906
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Internet BibRef

Arun, K.S., Govindan, V.K.,
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Kou, N.M.[Ngai Meng], U, L.H.[Leong Hou], Yang, Y.Y.[Yi-Yang], Gong, Z.G.[Zhi-Guo],
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Feng, L.[Lin], Wu, J.[Jun], Liu, S.L.[Sheng-Lan], Zhang, H.W.[Hong-Wei],
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Elsevier DOI 1512
Image retrieval BibRef

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Hashing BibRef

Gbèhounou, S.[Syntyche], Lecellier, F.[François], Fernandez-Maloigne, C.[Christine],
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Le, H.T.[Huu Ton], Urruty, T.[Thierry], Gbèhounou, S.[Syntyche], Lecellier, F.[François], Martinet, J.[Jean], Fernandez-Maloigne, C.[Christine],
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Shen, X., Shen, F., Sun, Q.S., Yuan, Y.H., Shen, H.T.,
Robust Cross-view Hashing for Multimedia Retrieval,
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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,
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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],
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IET-IPR(11), No. 9, September 2017, pp. 724-733.
DOI Link 1709
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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

Ng, W.W.Y., Tian, X., Pedrycz, W., Wang, X., Yeung, D.S.,
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments,
Cyber(49), No. 11, November 2019, pp. 3844-3858.
IEEE DOI 1908
image coding, image retrieval, iterative methods, learning (artificial intelligence), semantic networks, nonstationary environment BibRef

Lin, Z.J.[Zi-Jia], Ding, G.G.[Gui-Guang], Han, J.G.[Jun-Gong], Wang, J.M.[Jian-Min],
Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing,
Cyber(47), No. 12, December 2017, pp. 4342-4355.
IEEE DOI 1712
Correlation, Kernel, Logistics, Probabilistic logic, Semantics, Training, Training data, semantics-preserving hashing (SePH) 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
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Lu, X., Chen, Y., Li, X.,
Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features,
IP(27), No. 1, January 2018, pp. 106-120.
IEEE DOI 1712
binary codes, convolution, cryptography, feature extraction, file organisation, image representation, image retrieval, supervised hashing BibRef

Do, T.T.[Thanh-Toan], Cheung, N.M.[Ngai-Man],
Embedding Based on Function Approximation for Large Scale Image Search,
PAMI(40), No. 3, March 2018, pp. 626-638.
IEEE DOI 1802
Encoding, Function approximation, Image coding, Image retrieval, Radio frequency, Search problems, Standards, Image search, feature embedding 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
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Oliveira, A.[Alberto], Oakley, E.[Eric], da Silva Torres, R.[Ricardo], Rocha, A.[Anderson],
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JVCIR(60), 2019, pp. 236-249.
Elsevier DOI 1903
Relevance prediction, Performance prediction, Extreme value theory, Weibull distribution, Information retrieval BibRef

Zhou, J.H.[Jia-Huan], Wu, Y.[Ying],
Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples,
PAMI(42), No. 11, November 2020, pp. 2858-2873.
IEEE DOI 2010
Measurement, Probes, Visualization, Testing, Feature extraction, Training, Image retrieval, Visual instance retrieval, hard negative samples BibRef

Liu, G.H.[Guang-Hai], Yang, J.Y.[Jing-Yu],
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PR(116), 2021, pp. 107926.
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Image retrieval, VGG-16 network, orientation selection, color perception, deep-seated features histogram BibRef

Jang, Y.K.[Young Kyun], Cho, N.I.[Nam Ik],
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval,
ICCV21(12065-12074)
IEEE DOI 2203
BibRef
Earlier:
Generalized Product Quantization Network for Semi-Supervised Image Retrieval,
CVPR20(3417-3426)
IEEE DOI 2008
Visualization, Annotations, Vector quantization, Image retrieval, Training data, Benchmark testing, Image and video retrieval. Quantization (signal), Entropy, Feature extraction, Binary codes, Semantics, Training BibRef

Jenicek, T., Chum, O.,
No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions,
ICCV19(9695-9703)
IEEE DOI 2004
convolutional neural nets, image retrieval, learning (artificial intelligence), learnable normalisation, Detectors BibRef

Chang, C.[Cheng], Yu, G.W.[Guang-Wei], Liu, C.D.[Chun-Di], Volkovs, M.[Maksims],
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CVPR19(9415-9423).
IEEE DOI 2002
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Nie, L., Wang, K., Kang, W., Gao, Y.,
Image Retrieval with Attribute-Associated Auxiliary References,
DICTA17(1-6)
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image coding, image representation, image retrieval, optimisation, visual databases, SCC, attribute-associated auxiliary references, Semantics BibRef

Reina, E.M., Pu, K.Q., Qureshi, F.Z.,
An Index Structure for Fast Range Search in Hamming Space,
CRV17(8-15)
IEEE DOI 1804
database indexing, query processing, tree data structures, Hamming space, binary vectors, compressed bitwise trie, hash table, trie indexing BibRef

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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)
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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,
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Springer DOI 1511
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Papushoy, A.[Alex], Bors, A.G.[Adrian G.],
Visual attention for content based image retrieval,
ICIP15(971-975)
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Springer DOI 1511
Content based image retrieval BibRef

Ng, J.Y.H.[Joe Yue-Hei], Yang, F.[Fan], Davis, L.S.[Larry S.],
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DeepLearn15(53-61)
IEEE DOI 1510
Artificial neural networks BibRef

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Sparse projections for high-dimensional binary codes,
CVPR15(3332-3339)
IEEE DOI 1510
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ConceptLearner: Discovering visual concepts from weakly labeled image collections,
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IEEE DOI 1510
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Kim, S.[Saehoon], Choi, S.J.[Seung-Jin],
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IEEE DOI 1510
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Image retrieval using scene graphs,
CVPR15(3668-3678)
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IEEE DOI 1409
Image Retrieval BibRef

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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.,
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AIPR13(1-5)
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content-based retrieval BibRef

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

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Ballan, L.[Lamberto], Bertini, M.[Marco], del Bimbo, A.[Alberto], Serain, A.M.[Andrea M.], Serra, G.[Giuseppe], Zaccone, B.F.[Benito F.],
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ICPR12(1731-1734).
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IASP11(653-655).
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CIAP11(I: 128-138).
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IEEE DOI 1009
Multiple key-words for each image. BibRef

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CIVR10(251-258).
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Image retreival using building examples. BibRef

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And:
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CISP09(1-5).
IEEE DOI 0910
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Wang, W.S.[Wen-Sheng], Wu, J.J.,
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Xu, H.L.[Hong-Li], Yu, D.T.[Dan-Tong], Xu, D.[De], Zhang, A.[Aidong],
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CIVR08(95-104). 0807
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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
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Çavus, Ö.[Özge], Aksoy, S.[Selim],
Semantic Scene Classification for Image Annotation and Retrieval,
SSPR08(402-410).
Springer DOI 0812
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Rodríguez-González, A.Y.[Ansel Y.], Martínez-Trinidad, J.F.[José Francisco], Carrasco-Ochoa, J.A.[Jesús Ariel], Ruiz-Shulcloper, J.[José],
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Hernández-León, R.[Raudel], Hernández-Palancar, J.[José], Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F.[J. Francisco],
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Springer DOI 0809
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Yazdi, M.S., Moghaddam, M.E.,
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WSSIP08(311-314).
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Rocha, A.[Anderson], Almeida, J.[Jurandy], Nascimento, M.A.[Mario A.], da Silva Torres, R.[Ricardo], Goldenstein, S.K.[Siome K.],
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Shao, W.B.[Wen-Bin], Naghdy, G.[Golshah], Phung, S.L.[Son Lam],
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Visual07(369-378).
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Moëllic, P.A.[Pierre-Alain], Haugeard, J.E.[Jean-Emmanuel], Pitel, G.[Guillaume],
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CIVR08(269-278). 0807
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ISVC07(II: 509-518).
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Human annotated online images. BibRef

Lecca, M.[Michela], Messelodi, S.[Stefano],
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BMVC07(xx-yy).
PDF File. 0709
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Mekuz, N.[Nathan], Tsotsos, J.K.[John K.],
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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
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Roth, G.[Gerhard], Scott, W.[William],
Efficient indexing for strongly similar subimage retrieval,
CRV07(440-447).
IEEE DOI 0705
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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
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Earlier:
Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture,
ICPR10(573-576).
IEEE DOI 1008
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And:
Image database categorization using robust modeling of finite Generalized Dirichlet mixture,
IPTA10(334-339).
IEEE DOI 1007
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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
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Frigui, H.[Hichem], Caudill, J.[Joshua],
Region Based Image Annotation,
ICIP06(953-956).
IEEE DOI 0610
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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
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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).
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Magalhães, J.[João], Rüger, S.[Stefan],
Logistic Regression of Generic Codebooks for Semantic Image Retrieval,
CIVR06(41-50).
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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,
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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,
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Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
A New Approach to Camera Image Indexing,
CAIP05(137).
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Senel, K.[Kamil], Mihcak, M.K.[M. Kivanc], Monga, V.[Vishal],
A learning framework for robust hashing of face images,
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IEEE DOI 1009
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Kozat, S.S., Venkatesan, R., Mihcak, M.K.,
Robust perceptual image hashing via matrix invariants,
ICIP04(V: 3443-3446).
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Li, Y.[Yi], Bilmes, J.A., Shapiro, L.G.,
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Tanaka, H., Sakano, H., Ohtsuka, S.,
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IEEE DOI 0409
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Huang, F.J.[Fu Jie], Le Cun, Y.L.[Yann L.],
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Le Cun, Y.L.[Yann L.], Huang, F.J.[Fu Jie], Bottou, L.[Leon],
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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],
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ICIP03(III: 617-620).
IEEE DOI 0312
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Cooper, M., Foote, J., Girgensohn, A.,
Automatically organizing digital photographs using time and content,
ICIP03(III: 749-752).
IEEE DOI 0312
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Ahmad, I., Jang, T.S.[Taek-Sueng],
Old fashion text-based image retrieval using FCA,
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IEEE DOI 0312
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Käster, T.[Thomas], Wendt, V.[Volker], Sagerer, G.[Gerhard],
Comparing Clustering Methods for Database Categorization in Image Retrieval,
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Kaneko, S., Mae, T., Miyamoto, A.,
Using, constraint inequality on estimated correlation for rapid image search,
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IEEE DOI 0211
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Luo, J.,
On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs,
ICIP00(Vol III: 512-515).
IEEE DOI 0008
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Chang, R.F., Kuo, W.J.,
Image Retrieval on Uncompressed and Compressed Domains,
ICIP00(Vol II: 546-549).
IEEE DOI 0008
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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
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Chang, Y.C.[Yuan-Chi], Li, C.S.[Chung-Sheng],
Indexing for Linear Model-based Information Retrieval,
ICME00(MP5). 0007
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Tian, Q.[Qi], Wu, Y.[Ying], Huang, T.S.[Thomas S.],
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval,
ICME00(MP5). 0007
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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
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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,
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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).
IEEE DOI 9809
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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
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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
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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
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Mohr, R., Picard, S., Schmid, C.,
Bayesian decision versus voting for image retrieval,
CAIP97(376-383).
Springer DOI 9709
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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
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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 .