19.4.4.3 Database Indexing, Specific Tasks

Chapter Contents (Back)
Database. Image Database. See also Medical Image Database Retrieval.

Vailaya, A.[Aditya], Jain, A.K.[Anil K.], Zhang, H.J.[Hong Jiang],
On Image Classification: City Images vs. Landscapes,
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Earlier:
Elsevier DOI
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CBAIVL98(3-8).
IEEE Top Reference. 0208
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Vailaya, A., Figueiredo, M.A.T., Jain, A.K., Zhang, H.J.,
Image Classification for Content-Based Indexing,
IP(10), No. 1, January 2001, pp. 117-130.
IEEE DOI 0101
Capture high-level concepts with low-level features. BibRef

Comaniciu, D.[Dorin], Meer, P.[Peter], Foran, D.J.[David J.],
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MVA(11), No. 4, 1999, pp. 213-224.
Springer DOI 0001
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Earlier: A1, A3, A2:
Shape-Based Image Indexing and Retrieval for Diagnostic Pathology,
ICPR98(Vol I: 902-904).
IEEE DOI 9808
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Comaniciu, D., Meer, P., Foran, D.J., Medl, A.,
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WACV98(76-81).
IEEE DOI And: BibRef 9800 WACV98(268-269).
IEEE DOI 9809
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Dell'Acqua, F., Gamba, P.,
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GeoRS(39), No. 9, September 2001, pp. 1834-1843.
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Iqbal, Q.[Qasim], Aggarwal, J.K.,
Retrieval by classification of images containing large manmade objects using perceptual grouping,
PR(35), No. 7, July 2002, pp. 1463-1479.
Elsevier DOI Or:
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Earlier:
Perceptual Grouping for Image Retrieval and Classification,
PercOrg01(19.1-19.4). 0106
Content-based image retrieval, perceptual organization, texture, color histogram, Gabor filters.
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Iqbal, Q.[Qasim], Aggarwal, J.K.,
Image Retrieval via Isotropic and Anisotropic Mappings,
PR(35), No. 12, December 2002, pp. 2673-2686.
Elsevier DOI
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Earlier: IAPR Workshopon Pattern Recognition in Information Systems, Setubal, Portugal, July 6-8, 2001, pp. 34-49. Content-based image retrieval, perceptual grouping, texture, color histogram, Gabor filter.
PDF File. BibRef

Iqbal, Q., Aggarwal, J.K.,
Combining structure, color and texture for image retrieval: A performance evaluation,
ICPR02(II: 438-443).
IEEE DOI 0211
BibRef

Iqbal, Q.[Qasim], Aggarwal, J.K.,
Applying Perceptual Grouping to Content-based Image Retrieval: Building Images,
CVPR99(I: 42-48).
IEEE DOI or:
PDF File. Essentially, use the features (lines, junctions (L), U shapes, parallels) to say when buildings may occur. Interesting simple example. Did not carry it very far. Questions about whether it is really better than textures which might find the regular structures.
HTML Version.
PDF File. BibRef 9900

Iqbal, Q.[Qasim], Aggarwal, J.K.,
Lower Level and Higher Level Approaches to Content-Based Image Retrieval,
Southwest00(197-201).
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Iqbal, Q.[Qasim], Aggarwal, J.K.,
Using Structure in Content-based Image Retrieval,
IASTED International Conferenceon Signal and Image Processing, October 18-21, 1999, Nassau, Bahamas, pp. 129-133.
PDF File. BibRef 9910

Sheikholeslami, G.[Gholamhosein], Zhang, A.D.[Ai-Dong], Bian, L.[Ling],
A Multi-Resolution Content-Based Retrieval Approach for Geographic Images,
GeoInfo(3), No. 2, June 1999, pp. 109-139.
DOI Link BibRef 9906

Cox, J.[Jim], Karron, D.B., Ferdous, N.[Nazma],
Topological Zone Organization of Scalar Volume Data,
JMIV(18), No. 2, March 2003, pp. 95-117.
DOI Link 0301
BibRef

Serrano, N.[Navid], Savakis, A.E.[Andreas E.], Luo, J.B.[Jie-Bo],
Improved scene classification using efficient low-level features and semantic cues,
PR(37), No. 9, September 2004, pp. 1773-1784.
Elsevier DOI 0407
BibRef
Earlier:
A computationally efficient approach to indoor/outdoor scene classification,
ICPR02(IV: 146-149).
IEEE DOI 0211
BibRef

Luo, J., Savakis, A.E.,
Indoor vs Outdoor Classification of Consumer Photographs Using Low-level and Semantic Features,
ICIP01(II: 745-748).
IEEE DOI 0108
BibRef

Luo, J.B.[Jie-Bo], Savakis, A.E.[Andreas E.], Singhal, A.[Amit],
A Bayesian network-based framework for semantic image understanding,
PR(38), No. 6, June 2005, pp. 919-934.
Elsevier DOI 0501
BibRef

Kane, M.J., Savakis, A.E.,
Bayesian network structure learning and inference in indoor vs. outdoor image classification,
ICPR04(II: 479-482).
IEEE DOI 0409
BibRef

Payne, A.D.[Andrew D.], Singh, S.[Sameer],
Indoor vs. outdoor scene classification in digital photographs,
PR(38), No. 10, October 2005, pp. 1533-1545.
Elsevier DOI 0508
BibRef

Li, Y.K.[Yi-Kun], Bretschneider, T.R.[Timo R.],
Semantic-Sensitive Satellite Image Retrieval,
GeoRS(45), No. 4, April 2007, pp. 853-860.
IEEE DOI 0704
BibRef

Lynnes, C., Strub, R., Seiler, E., Joshi, T., MacHarrie, P.,
Mirador: A Simple Fast Search Interface for Global Remote Sensing Data Sets,
GeoRS(47), No. 1, January 2009, pp. 92-96.
IEEE DOI 0901
BibRef

Fu, R.[Rong], Gao, X.[Xinbo], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng], Jian, Y.J.[Yong-Jun], Li, J.[Jie], Hu, H.Q.[Hong-Qiao], Yang, H.[Huigen],
An integrated aurora image retrieval system: AuroraEye,
JVCIR(21), No. 8, November 2010, pp. 787-797.
Elsevier DOI 1011
Content-based image retrieval; Aurora; Adaptive LBP; Gabor; Image texture analysis; Database; Feature extraction; Local binary pattern BibRef

Gao, X.[Xinbo], Fu, R.[Rong], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng], Zhang, B.C.[Bei-Chen], Yang, H.[Huigen],
Aurora image segmentation by combining patch and texture thresholding,
CVIU(115), No. 3, March 2011, pp. 390-402.
Elsevier DOI 1103
Image segmentation; Feature extraction; LBP; Aurora; Texture segmentation; Otsu; Patch segmentation BibRef

Lee, Y.B.[Young-Beom], Park, U.S.[Un-Sang], Jain, A.K.[Anil K.], Lee, S.W.[Seong-Whan],
Pill-ID: Matching and retrieval of drug pill images,
PRL(33), No. 7, 1 May 2012, pp. 904-910.
Elsevier DOI 1203
BibRef
Earlier: A1, A2, A3, Only:
PILL-ID: Matching and Retrieval of Drug Pill Imprint Images,
ICPR10(2632-2635).
IEEE DOI 1008
Award, ICPR. Image retrieval; Pill images; Illicit drugs; Imprints; Moment invariants; Color histogram BibRef

Zhan, H., Shi, B., Kot, A.C.,
Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,
IP(26), No. 12, December 2017, pp. 5867-5881.
IEEE DOI 1710
feature extraction, neural nets, SHOE-CNN, discriminative shoe feature expression, three-level Feature extraction, Footwear, Semantic hierarchy, BibRef


Mars, D.E.[David Ebri], Wu, H.[Hanwei], Li, H.[Haopeng], Flierl, M.[Markus],
Geometry-based ranking for mobile 3D visual search using hierarchically structured multi-view features,
ICIP15(3077-3081)
IEEE DOI 1512
BibRef

Pillai, I.[Ignazio], Satta, R.[Riccardo], Fumera, G.[Giorgio], Roli, F.[Fabio],
Exploiting Depth Information for Indoor-Outdoor Scene Classification,
CIAP11(II: 130-139).
Springer DOI 1109
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Huttunen, S.[Sami], Rahtu, E.[Esa], Kunttu, I.[Iivari], Gren, J.[Juuso], Heikkilä, J.[Janne],
Real-Time Detection of Landscape Scenes,
SCIA11(338-347).
Springer DOI 1105
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Kim, S.K.[Soo K.], Ranganath, H.S.[Heggere S.],
Content-Based Retrieval of Aurora Images Based on the Hierarchical Representation,
ACIVS10(II: 249-260).
Springer DOI 1012
BibRef

Cai, W.D.[Wei-Dong], Liu, S.D.[Si-Dong], Wen, L.F.[Ling-Feng], Eberl, S.[Stefan], Fulham, M.J.[Michael J.], Feng, D.[Dagan],
3D neurological image retrieval with localized pathology-centric CMRGlc patterns,
ICIP10(3201-3204).
IEEE DOI 1009
Applied retrieval. fMRI. BibRef

Kiranyaz, S.[Serkan], Gabbouj, M.[Moncef], Pulkkinen, J.[Jenni], Ince, T.[Turker], Meissner, K.[Kristian],
Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases,
ICIP10(2257-2260).
IEEE DOI 1009
BibRef

Pavlopoulou, C.[Christina], Yu, S.X.[Stella X.],
Classification and feature selection with human performance data,
ICIP10(1557-1560).
IEEE DOI 1009
BibRef
And:
Indoor-outdoor classification with human accuracies: Image or edge gist?,
ACVHL10(41-47).
IEEE DOI 1006
BibRef

Lipowezky, U.[Uri], Vol, I.[Ilya],
Indoor-outdoor detector for mobile phone cameras using gentle boosting,
ECVW10(31-38).
IEEE DOI 1006
BibRef

Lamb, R.[Robbie], Angryk, R.[Rafal], Martiens, P.[Piet],
An example based image retrieval system for the TRACE repository,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Fraundorfer, F.[Friedrich], Stewenius, H.[Henrik], Nister, D.[David],
A Binning Scheme for Fast Hard Drive Based Image Search,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Nister, D.[David], Stewenius, H.[Henrik],
Scalable Recognition with a Vocabulary Tree,
CVPR06(II: 2161-2168).
IEEE DOI 0606
Award, Longuet-Higgins. (after 10 years). Large scale recognition. CD covers from 40,000 items. Indexing descriptions from region descriptions. Tree structure for descriptions. BibRef

Lu, L.[Le], Toyama, K.[Kentaro], Hager, G.D.[Gregory D.],
A Two Level Approach for Scene Recognition,
CVPR05(I: 688-695).
IEEE DOI 0507
Two level approach. First mixture models, then simple features. BibRef

Carrara, P.[Paola], Pasi, G.[Gabriella], Pepe, M.[Monica], Rampini, A.[Anna],
An Indexing Model of Remote Sensing Images,
CIVR04(517-525).
Springer DOI 0505
BibRef

Baeza-Yates, R., Ruiz-del-Solar, J., Verschae, R., Castillo, C., Hurtado, C.,
Content-Based Image Retrieval and Characterization on Specific Web Collections,
CIVR04(189-198).
Springer DOI 0505
BibRef

Liu, C.T.[Chii Tung], Tai, P.L.[Pol Lin], Chen, A.Y.J.[Arlene Y.J.], Peng, C.H.[Chen-Hsing], Wang, J.S.[Jia Shung],
A Content-Based Scheme for CT Lung Image Retrieval,
ICME00(TP11). 0007
BibRef

Szummer, M.[Martin], and Picard, R.W.[Rosalind W.],
Indoor-Outdoor Image Classification,
Vismod--445, 1997.
PS File. in: CAIVD'98, Bombay India, January 3, 1998 BibRef 9700

Zheng, J.Y.[Jiang Yu], Zhang, Z.L.[Zhong Li],
Digital Archiving of an Archaeological Excavation Site for Virtual Museum and Multimedia Display,
ICPR98(Vol II: 1492-1496).
IEEE DOI 9808
BibRef

Huet, B., and Hancock, E.R.,
Cartographic Indexing into a Database of Remotely Sensed Images,
WACV96(8-14).
IEEE DOI 9609
BibRef

Bigün, J., Bhattacharjee, S., Michel, S.,
Orientation radiograms for image retrieval: An alternative to segmentation,
ICPR96(III: 346-350).
IEEE DOI 9608
(Swiss Federal Inst. of Technology, CH) BibRef

Gupta, A., Moezzi, S., Taylor, A., Chatterjee, S., Jain, R., Goldbaum, M., Burgess, S.,
Content-Based Retrieval of Opthalmological Images,
ICIP96(III: 703-706).
IEEE DOI 9610
BibRef

Holt, B., and Hartwick, L.,
Visual Image Retrieval for Applications in Art and Art History,
SPIE(2185), Storage and Retrieval for Image Databases, February 1994, pp. 70-81. BibRef 9402

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Database Indexing Using Various Features, Multiple Features .


Last update:Aug 16, 2018 at 18:22:30