20.4.3 Query Techniques, Query Languages

Chang, N.S., and Fu, K.S.,
Query by Pictorial Example,
SE(6), November 1980, pp. 519-524. BibRef 8011

Chang, N.S., and Fu, K.S.,
Picture Query Languages for Pictorial Database Systems,
Computer(14), No. 11, November 1981, pp. 23-33. BibRef 8111

Orenstein, J.A., and Manola, F.A.,
PROBE Spatial Data Modeling and Query Processing in an Image Database Application,
SE(14), No. 5, May 1988, pp. 611-629. BibRef 8805

Chock, M., Cardenas, A.F., Klinger, A.,
Database Structure and Manipulation Capabilities of a Picture Database Management System (PICDMS),
PAMI(6), No. 4, July 1984, pp. 484-492. BibRef 8407

Joseph, T., and Cardenas, A.F.,
PICQUERY: A High Level Query Language for Pictorial Database Management,
SE(14), No. 5, May 1988, pp. 630-638. BibRef 8805

Lee, S.Y., Shan, M.K.,
Access Methods of Image Database,
PRAI(4), 1990, pp. 27-44. BibRef 9000

Okazaki, A.[Akio],
Information retrieval apparatus and interface for retrieval of mapping information utilizing hand-drawn retrieval requests,
US_Patent5,148,522, 09/15/1992.
HTML Version. BibRef 9209

Ogle, V.E.,
Chabot: Retrieval from a Relational Database of Images,
Computer(28), No. 9, September 1995, pp. 40-48. Given a number of attributes, some standard database attributes, some image features, find a set of images in the database. BibRef 9509

Lin, Y.H., Rawlins, G.J.E., Vanheyningen, M.D.,
PIC1: A Visual Database Interface,
ExSys(8), No. 3, 1995, pp. 237-245. BibRef 9500

Mahoney, J.V.[James V.], Rao, S.[Satyajit],
Using a category to analyze an image showing a graphical representation,
US_Patent5,544,267, Aug 6, 1996
WWW Link. BibRef 9608

Faulus, D.S., Ng, R.T.,
An Expressive Language and Interface for Image Querying,
MVA(10), No. 2, 1997, pp. 74-85.
Springer DOI 9707
BibRef

Harada, S., Itoh, Y., Nakatani, H.,
Interactive Image Retrieval by Natural Language,
OptEng(36), No. 12, December 1997, pp. 3281-3287. 9801
BibRef

Armitage, L., Enser, P.,
Analysis of User Need in Image Archives,
JIS(24), No. 4, 1997, pp. 287-299. BibRef 9700

Günsel, B.[Bilge], Tekalp, A.M.[A. Murat],
Shape Similarity Matching for Query by Example,
PR(31), No. 7, July 1998, pp. 931-944.
Elsevier DOI 9807
BibRef
Earlier:
Similarity Analysis for Shape Retrieval by Example,
ICPR96(II: 330-334).
IEEE DOI 9608
(Univ. of Rochester, USA) BibRef

Huang, B.[Bo], Lin, H.[Hui],
Design of a Query Language for Accessing Spatial Analysis in the Web Environment,
GeoInfo(3), No. 2, June 1999, pp. 165-183.
DOI Link 0509
BibRef

Medasani, S.[Swarup], Krishnapuram, R.[Raghu],
Categorization of Image Databases for Efficient Retrieval Using Robust Mixture Decomposition,
CVIU(83), No. 3, September 2001, pp. 216-235.
DOI Link 0110
BibRef
Earlier: CBAIVL98(50-54).
IEEE Top Reference. 0208
Mixture decomposition technique to find a compact representation of the data. Compare decomposition to: Akaike (
See also new look at the statistical model identification, A. ) Schwarz MDL (
See also Universal Prior for Integers and Esitmation by Minimum Description Length, A. ) BibRef

Crill, R.[Rikk], Bruce, D.[David], Schehrer, K.[Kevin],
Search method and apparatus for locating digitally stored content, such as visual images, music and sounds, text, or software, in storage devices on a computer network,
US_Patent6,445,822, Sep 3, 2002
WWW Link. BibRef 0209

Assfalg, J., del Bimbo, A., Pala, P.,
Three-Dimensional interfaces for querying by example in content-based image retrieval,
VCG(8), No. 4, 2002, pp. 305-318. BibRef 0200

Lim, J.H.[Joo-Hwee],
Building Visual Vocabulary for Image Indexation and Query Formulation,
PAA(4), No. 2/3 2001, pp. 125-139.
Springer DOI 0202
BibRef

Dy, J.G.[Jennifer G.], Brodley, C.E.[Carla E.], Kak, A.C.[Avi C.], Broderick, L.S.[Lynn S.], Aisen, A.M.[Alex M.],
Unsupervised feature selection applied to content-based retrieval of lung images,
PAMI(25), No. 3, March 2003, pp. 373-378.
IEEE DOI 0301
Customized Query Approach (CQA). Hierarchical process, first according to class labels, the within the class from customized features. BibRef

Dy, J.G.[Jennifer G.], Brodley, C.E.[Carla E.], Kak, A.C.[Avi C.], Shyu, C.R.[Chi-Ren], Broderick, L.S.[Lynn S.],
The Customized-Queries Approach to CBIR Using EM,
CVPR99(II: 400-406).
IEEE DOI BibRef 9900

Raptopoulou, K., Papadopoulos, A.N., Manolopoulos, Y.,
Fast Nearest-Neighbor Query Processing in Moving-Object Databases,
GeoInfo(7), No. 2, June 2003, pp. 113-137.
DOI Link 0307
BibRef

Cinque, L.[Luigi], de Rosa, F., Lecca, F., Levialdi, S.,
Image retrieval using resegmentation driven by query rectangles,
IVC(22), No. 1, January 2004, pp. 15-22.
Elsevier DOI 0401
BibRef
Earlier: Add A5: ICPR02(IV: 142-145).
IEEE DOI 0211
BibRef

Tanimoto, S.[Steven], Levialdi, S., Lecca, F., Cinque, L.[Luigi],
Retrieval of Images Using Rich Region Descriptions,
ICPR98(Vol I: 899-901).
IEEE DOI 9808
BibRef

Cinque, L., Levialdi, S., Malizia, A., Mancini, R.,
Interactive model-based matching retrieval,
CIAP97(II: 188-195).
Springer DOI 9709
BibRef

Town, C.P.[Christopher P.], Sinclair, D.A.[David A.],
Language-based querying of image collections on the basis of an extensible ontology,
IVC(22), No. 3, 1 March 2004, pp. 251-267.
Elsevier DOI 0402
BibRef
Earlier:
Ontological Query Language for Content Based Image Retrieval,
CBAIVL01(75).
IEEE DOI 0110
BibRef

Town, C.P.[Christopher P.], Sinclair, D.A.[David A.],
A Self-Referential Perceptual Inference Framework for Video Interpretation,
CVS03(54 ff).
Springer DOI 0306
BibRef

Morris, A.J., Abdelmoty, A.I., El-Geresy, B.A., Jones, C.B.,
A Filter Flow Visual Querying Language and Interface for Spatial Databases,
GeoInfo(8), No. 2, June 2004, pp. 107-141.
DOI Link 0403
BibRef

Mokbel, M.F.[Mohamed F.], Xiong, X.P.[Xiao-Peng], Hammad, M.A.[Moustafa A.], Aref, W.G.[Walid G.],
Continuous Query Processing of Spatio-Temporal Data Streams in PLACE,
GeoInfo(9), No. 4, December 2005, pp. 343-365.
Springer DOI 0602
BibRef

Vogel, J.[Julia], Schiele, B.[Bernt],
Performance evaluation and optimization for content-based image retrieval,
PR(39), No. 5, May 2006, pp. 897-909.
Elsevier DOI 0604
BibRef
Earlier:
On Performance Characterization and Optimization for Image Retrieval,
ECCV02(IV: 49 ff.).
Springer DOI 0205
BibRef
And:
Query-Dependent Performance Optimization for Vocabulary-Supported Image Retrieval,
DAGM02(600 ff.).
Springer DOI 0303
BibRef
Earlier:
Performance prediction for vocabulary-supported image retrieval,
ICIP01(II: 753-756).
IEEE DOI 0108
P Performance characterization; Image semantics BibRef

Vogel, J.[Julia], Schiele, B.[Bernt],
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval,
IJCV(72), No. 2, April 2007, pp. 133-157.
Springer DOI 0702
BibRef
Earlier:
A Semantic Typicality Measure for Natural Scene Categorization,
DAGM04(195-203).
Springer DOI 0505
BibRef
And:
Natural Scene Retrieval Based on a Semantic Modeling Step,
CIVR04(207-215).
Springer DOI 0505
BibRef

Vogel, J.[Julia], Murphy, K.P.[Kevin P.],
A non-myopic approach to visual search,
CRV07(227-234).
IEEE DOI 0705
BibRef

Murphy, K.P.[Kevin P.], Torralba, A.B.[Antonio B.], Eaton, D.[Daniel], Freeman, W.T.[William T.],
Object Detection and Localization Using Local and Global Features,
CLOR06(382-400).
Springer DOI 0711
BibRef

Ray, A.K.[Ajoy K.], Mishra, R.K.[Ranjit K.], Acharya, T.[Tinku],
Searching for object images with reduced computation,
US_Patent7,191,164, March 13, 2007.
HTML Version. Fuzzy logic queries. BibRef 0703

Vu, K.[Khanh], Cheng, H.[Hao], Hua, K.A.[Kien A.],
Image retrieval in multipoint queries,
IJIST(18), No. 2-3, 2007, pp. 170-181.
DOI Link 0804
BibRef

Kim, D.J.[Dae-Jin], Frigui, H.[Hichem], Fadeev, A.[Aleksey],
A generic approach to semantic video indexing using adaptive fusion of multimodal classifiers,
IJIST(18), No. 2-3, 2007, pp. 124-136.
DOI Link 0804
BibRef

Ding, Q., Perrizo, W.,
PARM: An Efficient Algorithm to Mine Association Rules From Spatial Data,
SMC-B(38), No. 6, December 2008, pp. 1513-1524.
IEEE DOI 0812
BibRef

Fauzi, M.F.A.[Mohammad Faizal Ahmad], Lewis, P.H.[Paul H.],
Query by low-quality image,
IVC(27), No. 6, 4 May 2009, pp. 713-724.
Elsevier DOI 0904
BibRef
Earlier:
Query by Fax for Content-Based Image Retrieval,
CIVR02(91-99).
Springer DOI 0208
Content-based image retrieval; Low-quality image analysis; Wavelet transform BibRef

Fauzi, M.F.A.[Mohammad Faizal Ahmad],
Optimal Discrete Wavelet Frames Features for Texture-Based Image Retrieval Applications,
IVIC09(66-77).
Springer DOI 0911
BibRef

Hare, J.S.[Jonathon S.], Samangooei, S.[Sina], Lewis, P.H.[Paul H.], Nixon, M.S.[Mark S.],
Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces,
CIVR08(359-368). 0807
BibRef

Hare, J.S.[Jonathon S.], Lewis, P.H.[Paul H.],
On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics,
CIVR05(540-549).
Springer DOI 0507
BibRef
Earlier:
Salient Regions for Query by Image Content,
CIVR04(317-325).
Springer DOI 0505
BibRef

Worring, M, Schreiber, G,
Semantic Image and Video Indexing in Broad Domains,
MultMed(9), No. 5, August 2007, pp. 909-911.
IEEE DOI 0905
BibRef

Fuchs, E.[Erich], Gruber, T.[Thiemo], Nitschke, J.[Jiri], Sick, B.[Bernhard],
On-line motif detection in time series with SwiftMotif,
PR(42), No. 11, November 2009, pp. 3015-3031.
Elsevier DOI 0907
Temporal data mining; Time series; Motif detection; Polynomial approximation; Orthogonal polynomials; Probabilistic modeling; Piecewise polynomial representation; Piecewise probabilistic representation; Segmentation; SwiftMotif
See also Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations. BibRef

Lu, Y.J.[Yi-Juan], Zhang, L.[Lei], Liu, J.M.[Jie-Min], Tian, Q.[Qi],
Constructing Concept Lexica With Small Semantic Gaps,
MultMed(12), No. 4, 2010, pp. 288-299.
IEEE DOI 1006
Lexicon for retrieval. BibRef

Gómez, L.[Leticia], Kuijpers, B.[Bart], Vaisman, A.[Alejandro],
A data model and query language for spatio-temporal decision support,
GeoInfo(15), No. 3, July 2011, pp. 455-496.
WWW Link. 1106
BibRef

Ghinita, G.[Gabriel], Kalnis, P.[Panos], Kantarcioglu, M.[Murat], Bertino, E.[Elisa],
Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection,
GeoInfo(15), No. 4, October 2011, pp. 699-726.
WWW Link. 1110
Mobile devices with GPS, how to protect privacy when using these devices. BibRef

d'Ulizia, A.[Arianna], Ferri, F.[Fernando], Grifoni, P.[Patrizia],
Moving GeoPQL: a pictorial language towards spatio-temporal queries,
GeoInfo(16), No. 2, April 2012, pp. 357-389.
WWW Link. 1202
for GIS. BibRef

d'Ulizia, A.[Arianna], Grifoni, P.[Patrizia], Ferri, F.[Fernando],
Query Processing of Geosocial Data in Location-Based Social Networks,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Chen, Y.Z.[Yan-Zhi], Li, X.[Xi], Dick, A.[Anthony], van den Hengel, A.J.[Anton J.],
Boosting Object Retrieval With Group Queries,
SPLetters(19), No. 11, November 2012, pp. 765-768.
IEEE DOI 1210
BibRef

Chen, Y.Z.[Yan-Zhi], Dick, A.[Anthony], Li, X.[Xi], Hill, R.[Rhys],
Context Based Re-ranking for Object Retrieval,
ACCV14(I: 196-210).
Springer DOI 1504
BibRef

Chen, Y.Z.[Yan-Zhi], Dick, A.[Anthony], Li, X.[Xi], van den Hengel, A.J.[Anton J.],
Spatially aware feature selection and weighting for object retrieval,
IVC(31), No. 12, 2013, pp. 935-948.
Elsevier DOI 1312
Object retrieval BibRef

Chen, Y.Z.[Yan-Zhi], Li, X.[Xi], Dick, A.[Anthony], Hill, R.[Rhys],
Ranking consistency for image matching and object retrieval,
PR(47), No. 3, 2014, pp. 1349-1360.
Elsevier DOI 1312
Ranking consistency BibRef

Chen, Y.Z.[Yan-Zhi], Dick, A.[Anthony], Li, X.[Xi],
Visual Distance Measures for Object Retrieval,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Chen, Y.Z.[Yan-Zhi], Dick, A.[Anthony], van den Hengel, A.J.[Anton J.],
Image Retrieval with a Visual Thesaurus,
DICTA10(8-14).
IEEE DOI 1012
BibRef

Bestehorn, M.[Markus],
Querying Moving Objects Detected by Sensor Networks,
Springer2013. ISBN: 978-1-4614-4926-3

Feng, D.Y.[De-Ying], Yang, J.[Jie], Yang, C.[Cheng], Liu, C.X.[Cong-Xin],
Image Retrieval with Scale Invariant Visual Phrases,
IEICE(E96-D), No. 5, May 2013, pp. 1063-1067.
WWW Link. 1305
BibRef

Hsiao, K.J.[Ko-Jen], Calder, J., Hero, A.O.,
Pareto-Depth for Multiple-Query Image Retrieval,
IP(24), No. 2, February 2015, pp. 583-594.
IEEE DOI 1502
content-based retrieval. Multiple queries for different image semantics. BibRef

Gao, Y., Zhao, J., Zheng, B., Chen, G.,
Efficient Collective Spatial Keyword Query Processing on Road Networks,
ITS(17), No. 2, February 2016, pp. 469-480.
IEEE DOI 1602
Approximation algorithms BibRef

Cheng, H.[Hang], Zhang, X.P.[Xin-Peng], Yu, J.[Jiang], Zhang, Y.[Yuan],
Encrypted JPEG image retrieval using block-wise feature comparison,
JVCIR(40, Part A), No. 1, 2016, pp. 111-117.
Elsevier DOI 1609
Image retrieval. BibRef

Zhao, S.[Sen], Cheng, X.[Xiang], Su, S.[Sen], Shuang, K.[Kai],
Popularity-aware collective keyword queries in road networks,
GeoInfo(21), No. 3, July 2017, pp. 485-518.
WWW Link. 1708
BibRef

Soussi, N., Boumlik, A., Bahaj, M.,
Mongo2SPARQL: Automatic and semantic query conversion of MongoDB query language to SPARQL,
ISCV17(1-6)
IEEE DOI 1710
Database languages, Grammar, Reactive power, Resource description framework. BibRef

Huang, Y.[Yan], Wu, Q.[Qi], Wang, W.[Wei], Wang, L.[Liang],
Image and Sentence Matching via Semantic Concepts and Order Learning,
PAMI(42), No. 3, March 2020, pp. 636-650.
IEEE DOI 2002
Semantics, Image representation, Task analysis, Context modeling, Logic gates, Pattern matching, Image annotation, Semantic concept, image and sentence matching BibRef

Huang, Y.[Yan], Wu, Q.[Qi], Song, C.F.[Chun-Feng], Wang, L.[Liang],
Learning Semantic Concepts and Order for Image and Sentence Matching,
CVPR18(6163-6171)
IEEE DOI 1812
Semantics, Task analysis, Visualization, Image representation, Predictive models, Context modeling, Vocabulary BibRef

Chen, H.[Hua], Guo, A.[AiBin], Ni, W.L.[Wen-Long], Cheng, Y.[Yan],
Improving the representation of image descriptions for semantic image retrieval with RDF,
JVCIR(73), 2020, pp. 102934.
Elsevier DOI 2012
Image representation, RDF, Image retrieval, Cross-lingual retrieval, Semantic image retrieval BibRef

Karantaidis, G.[Georgios], Sarridis, I.[Ioannis], Kotropoulos, C.[Constantine],
Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation,
SP:IC(97), 2021, pp. 116367.
Elsevier DOI 2107
Recommendation system, Hypergraphs, Multi-stage optimizations, Structure learning, Weight adaptation BibRef

Sebastian, C.[Clint], Imbriaco, R.[Raffaele], Meletis, P.[Panagiotis], Dubbelman, G.[Gijs], Bondarev, E.[Egor], de With, P.H.N.[Peter H.N.],
TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval,
AICity21(4133-4141)
IEEE DOI 2109
Visualization, Target tracking, Smart cities, Semantics, Natural languages, Image retrieval, Traffic control BibRef

Zhang, F.F.[Fei-Fei], Xu, M.L.[Ming-Liang], Xu, C.S.[Chang-Sheng],
Geometry Sensitive Cross-Modal Reasoning for Composed Query Based Image Retrieval,
IP(31), 2022, pp. 1000-1011.
IEEE DOI 2201
Visualization, Image retrieval, Semantics, Cognition, Geometry, Task analysis, text-guided visual reasoning BibRef

Chen, H.B.[Hai-Bo], Liang, D.[Daolei],
Adaptive Spatio-Temporal Query Strategies in Blockchain,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pržulj, Ð.[Ðorde], Dejanovic, I.[Igor], Stefanovic, M.[Miroslav], Lolic, T.[Teodora], Sladojevic, S.[Srdan],
Domain-Specific Language for Land Administration System Transactions,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, Y.F.[Yi-Fan], Xu, X.[Xing], Yu, W.[Wei], Xu, R.C.[Rui-Cong], Cao, Z.[Zuo], Shen, H.T.[Heng Tao],
Comprehensive Framework of Early and Late Fusion for Image-Sentence Retrieval,
MultMedMag(29), No. 3, July 2022, pp. 38-47.
IEEE DOI 2209
Visualization, Semantics, Feature extraction, Tensors, Task analysis, Image coding, Correlation BibRef

Bai, Y.[Yang], Wang, Y.S.[Yi-Sen], Zeng, Y.Y.[Yu-Yuan], Jiang, Y.[Yong], Xia, S.T.[Shu-Tao],
Query efficient black-box adversarial attack on deep neural networks,
PR(133), 2023, pp. 109037.
Elsevier DOI 2210
Black-box adversarial attack, Adversarial distribution, Query efficiency, Neural process BibRef

Bai, Y.[Yang], Zeng, Y.Y.[Yu-Yuan], Jiang, Y.[Yong], Wang, Y.S.[Yi-Sen], Xia, S.T.[Shu-Tao], Guo, W.W.[Wei-Wei],
Improving Query Efficiency of Black-box Adversarial Attack,
ECCV20(XXV:101-116).
Springer DOI 2011
BibRef

Zheng, Z.[Zhedong], Zheng, L.[Liang], Yang, Y.[Yi], Wu, F.[Fei],
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features,
IJCV(131), No. 1, January 2023, pp. 835-854.
Springer DOI 2303

WWW Link. BibRef

Wu, J.[Jie], Liu, W.F.[Wei-Feng], Wang, L.Q.[Lei-Quan], Shen, X.X.[Xiu-Xuan], Wei, Y.W.[Yi-Wei], Wu, C.L.[Chun-Lei],
Dynamic Pruning of Regions for Image-Sentence Matching,
SP:IC(117), 2023, pp. 117021.
Elsevier DOI 2308
Image-sentence matching, Cross-modal retrieval, Region pruning BibRef

Yang, Q.[Qu], Ye, M.[Mang], Cai, Z.H.[Zhao-Hui], Su, K.[Kehua], Du, B.[Bo],
Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer,
IP(32), 2023, pp. 4543-4554.
IEEE DOI 2309

WWW Link. Composing Text and Image to Image Retrieval. BibRef

Zhang, L.P.[Li-Ping], Li, J.[Jing], Li, S.[Song],
Research on Time-Aware Group Query Method with Exclusion Keywords,
IJGI(12), No. 10, 2023, pp. 438.
DOI Link 2311
BibRef

Xu, Y.H.[Ya-Hui], Bin, Y.[Yi], Wei, J.[Jiwei], Yang, Y.[Yang], Wang, G.Q.[Guo-Qing], Shen, H.T.[Heng Tao],
Multi-Modal Transformer With Global-Local Alignment for Composed Query Image Retrieval,
MultMed(25), 2023, pp. 8346-8357.
IEEE DOI 2312
retrieving the target image similar to the composed query, Reference with text changes. BibRef

Karatsiolis, S.[Savvas], Padubidri, C.[Chirag], Kamilaris, A.[Andreas],
Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Shi, Z.X.[Zhang-Xiang], Zhang, T.Z.[Tian-Zhu], Wei, X.[Xi], Wu, F.[Feng], Zhang, Y.D.[Yong-Dong],
Decoupled Cross-Modal Phrase-Attention Network for Image-Sentence Matching,
IP(33), 2024, pp. 1326-1337.
IEEE DOI 2402
Visualization, Semantics, Dogs, Task analysis, Feature extraction, Iron, Aggregates, Image retrieval, content-based retrieval, semantic search BibRef

Wei, X.[Xi], Zhang, T.Z.[Tian-Zhu], Li, Y.[Yan], Zhang, Y.D.[Yong-Dong], Wu, F.[Feng],
Multi-Modality Cross Attention Network for Image and Sentence Matching,
CVPR20(10938-10947)
IEEE DOI 2008
Visualization, Task analysis, Feature extraction, Correlation, Marine vehicles, Pattern matching, Standards BibRef

Wang, Y.F.[Yi-Fan], Liu, L.Y.[Li-Yuan], Yuan, C.[Chun], Li, M.[Minbo], Liu, J.[Jing],
Negative-Sensitive Framework With Semantic Enhancement for Composed Image Retrieval,
MultMed(26), 2024, pp. 7608-7621.
IEEE DOI 2405
Image retrieval, Semantics, Task analysis, Visualization, Optimization, Correlation, Filtration, Composed image retrieval, attention mechanism BibRef

Hu, X.Y.[Xiao-Yu], Wang, X.[Xingmei], Yang, D.M.[Dong-Mei], Ren, W.[Wei], Wang, J.[Jinli], Liu, B.[Bo],
FFLDGA-Net: Image retrieval method based on Feature Fusion Learnable Descriptor Graph Attention Network,
JVCIR(100), 2024, pp. 104109.
Elsevier DOI 2405
No depth to use in retrieval. Image retrieval, Graph attention network, Hard negative Mining, Fusion BibRef

Leticio, G.R.[Gustavo Rosseto], Kawai, V.S.[Vinicius Sato], Valem, L.P.[Lucas Pascotti], Pedronette, D.C.G.[Daniel Carlos Guimarães], da Silva-Torres, R.[Ricardo],
Manifold information through neighbor embedding projection for image retrieval,
PRL(183), 2024, pp. 17-25.
Elsevier DOI 2406
Image retrieval, Data visualization, Dimensionality reduction, t-SNE, UMAP BibRef

Xu, Y.H.[Ya-Hui], Wei, J.[Jiwei], Bin, Y.[Yi], Yang, Y.[Yang], Ma, Z.[Zeyu], Shen, H.T.[Heng Tao],
Set of Diverse Queries With Uncertainty Regularization for Composed Image Retrieval,
CirSysVideo(34), No. 10, October 2024, pp. 10494-10506.
IEEE DOI 2411
Uncertainty, Semantics, Image retrieval, Probabilistic logic, Task analysis, Fuses, Loss measurement, Composed image retrieval, image retrieval BibRef

Dhingra, N.[Naina], Jain, S.[Shipra],
Language-Attention Modular-Network for Relational Referring Expression Comprehension in Videos,
ICPR22(4103-4110)
IEEE DOI 2212
Visualization, Grounding, Natural languages, Benchmark testing, Task analysis BibRef

Ramzi, E.[Elias], Audebert, N.[Nicolas], Thome, N.[Nicolas], Rambour, C.[Clément], Bitot, X.[Xavier],
Hierarchical Average Precision Training for Pertinent Image Retrieval,
ECCV22(XIV:250-266).
Springer DOI 2211
BibRef

Kuo, W.C.[Wei-Cheng], Bertsch, F.[Fred], Li, W.[Wei], Piergiovanni, A.J., Saffar, M.[Mohammad], Angelova, A.[Anelia],
FindIt: Generalized Localization with Natural Language Queries,
ECCV22(XXXVI:502-520).
Springer DOI 2211
BibRef

Wu, H.[Hui], Wang, M.[Min], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Tian, Q.[Qi],
Contextual Similarity Distillation for Asymmetric Image Retrieval,
CVPR22(9479-9488)
IEEE DOI 2210
Small model for query, large model for database. Training, Databases, Image retrieval, Coherence, Feature extraction, Data models, Recognition: detection, categorization, retrieval BibRef

Zhao, C.Y.[Chu-Yang], Chen, H.[Haobo], Zhang, W.Y.[Wen-Yuan], Chen, J.[Junru], Zhang, S.[Sipeng], Li, Y.D.[Ya-Dong], Li, B.[Boxun],
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval,
AICity22(3225-3232)
IEEE DOI 2210
Data privacy, Visualization, Urban areas, Linguistics, Trajectory BibRef

Le, H.D.A.[Huy Dinh-Anh], Nguyen, Q.Q.V.[Quang Qui-Vinh], Luu, D.T.[Duc Trung], Chau, T.T.T.[Truc Thi-Thanh], Chung, N.M.[Nhat Minh], Ha, S.V.U.[Synh Viet-Uyen],
Tracked-Vehicle Retrieval by Natural Language Descriptions with Multi-Contextual Adaptive Knowledge,
AICity23(5511-5519)
IEEE DOI 2309
BibRef

Le, H.D.A.[Huy Dinh-Anh], Nguyen, Q.Q.V.[Quang Qui-Vinh], Nguyen, V.A.[Vuong Ai], Nguyen, T.D.M.[Thong Duy-Minh], Chung, N.M.[Nhat Minh], Thái, T.T.[Tin-Trung], Ha, S.V.U.[Synh Viet-Uyen],
Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge,
AICity22(3299-3308)
IEEE DOI 2210
Training, Representation learning, Visualization, Adaptive systems, Uncertainty, Computational modeling, Urban areas BibRef

Duggal, R.[Rahul], Zhou, H.[Hao], Yang, S.[Shuo], Xiong, Y.J.[Yuan-Jun], Xia, W.[Wei], Tu, Z.W.[Zhuo-Wen], Soatto, S.[Stefano],
Compatibility-aware Heterogeneous Visual Search,
CVPR21(10718-10727)
IEEE DOI 2111
Visualization, Costs, Computational modeling, Face recognition, Architecture, Buildings BibRef

Liu, Y.T.[Ya-Ting], Lu, Y.[Yan],
Multi-grained Fusion for Conditional Image Retrieval,
MMMod21(I:315-327).
Springer DOI 2106
query includes an image and a corresponding additional text. BibRef

Chen, Y.B.[Yan-Bei], Bazzani, L.[Loris],
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval,
ECCV20(XXII:136-152).
Springer DOI 2011
BibRef

Yanagi, R., Togo, R., Ogawa, T., Haseyama, M.,
Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models,
ICIP20(2431-2435)
IEEE DOI 2011
Visualization, Image retrieval, Lakes, Marine vehicles, Feature extraction, Neural networks, generative model BibRef

Chen, D.J.[Ding-Jie], Jia, S.H.[Song-Hao], Lo, Y.C.[Yi-Chen], Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh],
See-Through-Text Grouping for Referring Image Segmentation,
ICCV19(7453-7462)
IEEE DOI 2004
groupware, image segmentation, learning (artificial intelligence), natural languages, Convolution BibRef

Li, B.[Boren], Zhuang, B.Y.[Bo-Yu], Li, M.Y.[Ming-Yang], Gu, J.[Jian],
Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning,
ICCV19(7434-7442)
IEEE DOI 2004
Connecting text to image. data visualisation, graph theory, image segmentation, learning (artificial intelligence), scene graph, Graphical models BibRef

Ji, Z., Wang, H., Han, J., Pang, Y.,
Saliency-Guided Attention Network for Image-Sentence Matching,
ICCV19(5753-5762)
IEEE DOI 2004
image fusion, image matching, image representation, image retrieval, learning (artificial intelligence), BibRef

Tolias, G., Radenovic, F., Chum, O.,
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower,
ICCV19(5036-5045)
IEEE DOI 2004
image retrieval, learning (artificial intelligence), query processing, search engines, partially unknown systems, Neural networks BibRef

Vo, N.[Nam], Jiang, L.[Lu], Sun, C.[Chen], Murphy, K.[Kevin], Li, L.J.[Li-Jia], Fei-Fei, L.[Li], Hays, J.[James],
Composing Text and Image for Image Retrieval - an Empirical Odyssey,
CVPR19(6432-6441).
IEEE DOI 2002
BibRef

Zhang, B.[Bowen], Hu, H.X.[He-Xiang], Sha, F.[Fei],
Cross-Modal and Hierarchical Modeling of Video and Text,
ECCV18(XIII: 385-401).
Springer DOI 1810
BibRef

Boumhidi, H., Nfaoui, E.H., Oubenaalla, Y.,
MDX2SPARQL: Semantic query mapping of OLAP query language to SPARQL,
ISCV18(1-5)
IEEE DOI 1807
data analysis, data mining, query languages, query processing, semantic Web, ETL, MDX2SPARQL, OLAP interface, OLAP query language, SPARQL BibRef

Hu, R.H.[Rong-Hang], Xu, H.Z.[Hua-Zhe], Rohrbach, M.[Marcus], Feng, J.S.[Jia-Shi], Saenko, K.[Kate], Darrell, T.J.[Trevor J.],
Natural Language Object Retrieval,
CVPR16(4555-4564)
IEEE DOI 1612
BibRef

Gupta, N., Das, S., Chakraborti, S.,
Extracting information from a query image, for content based image retrieval,
ICAPR15(1-6)
IEEE DOI 1511
content-based retrieval BibRef

Clark, P.G.[Patrick G.], Grzymala-Busse, J.W.[Jerzy W.],
On the Number of Rules and Conditions in Mining Data with Attribute-Concept Values and 'Do Not Care' Conditions,
PReMI15(13-22).
Springer DOI 1511
BibRef

Chen, X.L.[Xin-Lei], Ritter, A.[Alan], Gupta, A.[Abhinav], Mitchell, T.[Tom],
Sense discovery via co-clustering on images and text,
CVPR15(5298-5306)
IEEE DOI 1510
noun phrase leads to many visual possibilities. BibRef

Naotoshi, S.[Sugegaya], Kanji, T.[Tanaka], Kentaro, Y.[Yanagihara],
Scene retrieval by unsupervised salient part discovery,
MVA15(85-88)
IEEE DOI 1507
Databases. Parts used in retrieval. BibRef

Donadello, I.[Ivan], Serafini, L.[Luciano],
Mixing Low-Level and Semantic Features for Image Interpretation,
CVONT14(283-298).
Springer DOI 1504
BibRef

Chen, J.S.[Jian-Song], Feng, B.[Bailan], Xu, B.[Bo],
Spatial Similarity Measure of Visual Phrases for Image Retrieval,
MMMod14(II: 275-282).
Springer DOI 1405
BibRef

Shriram, K.V., Priyadarsini, P.L.K., Gokul, M., Subashri, V., Sivaraman, R.,
A novel approach using T.H.E.S methodology for CBIR,
ICSIPR13(10-13).
IEEE DOI 1304
BibRef

Lucchi, A.[Aurelien], Weston, J.[Jason],
Joint Image and Word Sense Discrimination for Image Retrieval,
ECCV12(I: 130-143).
Springer DOI 1210
Rank images given text query BibRef

Tellex, S.[Stefanie], Roy, D.[Deb],
Towards surveillance video search by natural language query,
CIVR09(Article No 38).
DOI Link 0907
BibRef

Israel, M.[Menno], van der Schaar, J.[Jetske], van den Broek, E.L.[Egon L.], den Uyl, M.[Marten], van der Putten, P.[Peter],
Multi-level visual alphabets,
IPTA10(349-354).
IEEE DOI 1007
BibRef

Scott, J.[Jon], Kim, B.[Beomjin], Chhabada, S.[Sanyogita],
Visualized Index-Based Search for Digital Libraries,
ISVC09(I: 125-134).
Springer DOI 0911
BibRef

Li, G.B.[Guo-Bin], Wang, G.L.[Gui-Ling],
Research on optimized spatial data query algorithm in the spatial database,
IASP09(292-294).
IEEE DOI 0904
BibRef

Padmanabhan, R.[Raghav], Nagy, G.[George],
Query by table,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Wang, G.[Gang], Forsyth, D.A.[David A.],
Object image retrieval by exploiting online knowledge resources,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Perry, M.[Matthew], Sheth, A.P.[Amit P.], Hakimpour, F.[Farshad], Jain, P.[Prateek],
Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data,
GS07(228-246).
Springer DOI 0711
BibRef

Paolino, L.[Luca], Sebillo, M.[Monica], Tortora, G.[Genoveffa], Vitiello, G.[Giuliana],
The Predicate Tree: A Metaphor for Visually Describing Complex Boolean Queries,
Visual07(524-536).
Springer DOI 0706
BibRef

Yeh, T.[Tom], Lee, J.J.[John J.], Darrell, T.J.[Trevor J.],
Scalable classifiers for Internet vision tasks,
InterNet08(1-8).
IEEE DOI 0806
BibRef

Yeh, T.[Tom], Darrell, T.J.[Trevor J.],
Dynamic visual category learning,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Lee, J.J.[John J.],
Efficient Object Recognition and Image Retrieval for Large-Scale Applications,
CSAIL-2008-026, May 2008. BibRef 0805 Ph.D.Thesis, MIT, May 2008.
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Yeh, T.[Tom], Lee, J.J.[John J.], Darrell, T.J.[Trevor J.],
Adaptive Vocabulary Forests for Dynamic Indexing and Category Learning,
ICCV07(1-8).
IEEE DOI 0710
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Rege, M., Dong, M., Fotouhi, F.,
Co-Clustering Image Features and Semantic Concepts,
ICIP06(137-140).
IEEE DOI 0610
BibRef

Koletsis, P.[Pyrros], Petrakis, E.G.M.[Euripides G. M.],
SIA: Semantic Image Annotation Using Ontologies and Image Content Analysis,
ICIAR10(I: 374-383).
Springer DOI 1006
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Petrakis, E.G.M.[Euripides G. M.], Voutsakis, E.[Epimenides], Milios, E.E.[Evangelos E.],
Searching for logo and trademark images on the web,
CIVR07(541-548).
DOI Link 0707
BibRef
Earlier: A2, A1, A3:
IntelliSearch: Intelligent Search for Images and Text on the Web,
ICIAR06(I: 697-708).
Springer DOI 0610
BibRef

Huiskes, M.J.[Mark J.],
Image Searching and Browsing by Active Aspect-Based Relevance Learning,
CIVR06(211-220).
Springer DOI 0607
BibRef
Earlier:
Aspect-Based Relevance Learning for Image Retrieval,
CIVR05(639-649).
Springer DOI 0507
BibRef

Shi, R.[Rui], Chua, T.S.[Tat-Seng], Lee, C.H.[Chin-Hui], Gao, S.[Sheng],
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation,
CIVR06(102-112).
Springer DOI 0607
BibRef

Moon, N.[Naureen], Bhattarai, B.D.[Bibek Dev], Singh, R.[Rahul],
An Experiential Approach to Interacting with Biological Information,
ISVC06(II: 678-687).
Springer DOI 0611
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Lam, T.[Tony], Singh, R.[Rahul],
Semantically Relevant Image Retrieval by Combining Image and Linguistic Analysis,
ISVC06(II: 770-779).
Springer DOI 0611
BibRef

Zambrano, B.[Brian], Singh, R.[Rahul], Bhattarai, B.D.[Bibek Dev],
Using Linguistic Models for Image Retrieval,
ISVC05(494-501).
Springer DOI 0512
BibRef

Muller, W.[Wolfgang], Henrich, A.[Andreas],
Reducing I/O Cost of Similarity Queries by Processing Several at a Time,
MMDE04(142).
IEEE DOI 0406
BibRef

Ma, X.H.[Xiao-Hang], Wang, D.H.[Dian-Hui],
Semantics Modeling Based Image Retrieval System Using Neural Networks,
ICIP05(I: 1165-1168).
IEEE DOI 0512
BibRef

Browne, P.[Paul], Rüger, S.[Stefan], Xu, L.Q.[Li-Qun], Heesch, D.[Daniel],
iBase: Navigating Digital Library Collections,
CIVR06(510-513).
Springer DOI 0607
BibRef

Heesch, D.[Daniel], Rüger, S.[Stefan],
Three Interfaces for Content-Based Access to Image Collections,
CIVR04(491-499).
Springer DOI 0505
BibRef

Mountrakis, G., Agouris, P., Stefanidis, A.,
Multi-temporal geospatial query grouping using correlation signatures,
ICIP03(III: 545-548).
IEEE DOI 0312
BibRef

Fauqueur, J.[Julien], Boujemaa, N.[Nozha],
New image retrieval paradigm: logical composition of region categories,
ICIP03(III: 601-604).
IEEE DOI 0312
BibRef
And:
Image Retrieval by Range Query Composition of Region Categories,
INRIARR-4686, Décembre 2002.
HTML Version. 0306
BibRef

Trouvé, A.[Alain], Yu, Y.[Yong],
Metric Similarities Learning through Examples: An Application to Shape Retrieval,
EMMCVPR01(50-62).
Springer DOI 0205
BibRef
Earlier:
Learning the Kernel Through Examples: An Application to Shape Classification,
ICIP01(II: 121-124).
IEEE DOI 0108
BibRef

Han, J.W.[Jun-Wei], Guo, L.[Lei],
A new image retrieval system supporting query by semantics and example,
ICIP02(III: 953-956).
IEEE DOI 0210
BibRef

Vasconcelos, N.M.,
Exploiting group structure to improve retrieval accuracy and speed in image databases,
ICIP02(I: 980-983).
IEEE DOI 0210
BibRef

Zhao, G.[Gang], Kobayashi, A., Sakai, Y.,
Image information retrieval using rough set theory,
ICIP02(I: 417-420).
IEEE DOI 0210
BibRef

Wang, T., Rui, Y., Hu, S.M.,
Optimal Adaptive Learning for Image Retrieval,
CVPR01(I:1140-1147).
IEEE DOI 0110
BibRef

Grecu, H., Lambert, P.,
Image Retrieval by Partial Queries,
ICIP01(I: 26-29).
IEEE DOI 0108
BibRef

Amir, A., Srinivasan, S., Ponceleon, D.,
Efficient Video Browsing,
VideoMining03(Chapter 1). BibRef 0300

Srinivasan, S., Ponceleon, D., Viswanathan, M., Petkovic, D.,
Query expansion for imperfect speech: applications in distributed learning,
CBAIVL00(50-54). 0008
BibRef

Brunelli, R., Mich, O.,
Query Simplification and Strategy Selection for Image Retrieval,
ICPR00(Vol IV: 279-282).
IEEE DOI 0009
BibRef

Folkers, A., Samet, H., Soffer, A.,
Processing Pictorial Queries with Multiple Instances Using Isomorphic Subgraphs,
ICPR00(Vol IV: 51-54).
IEEE DOI 0009
BibRef

Moghaddam, B.,
Image Retrieval with Local and Spatial Queries,
ICIP00(Vol II: 542-545).
IEEE DOI 0008
BibRef

Amitay, E.[Einat],
In Common Sense: Rethinking Web Search Results,
ICME00(WP10). 0007
BibRef

Colossi, N.G.[Nathan G.], Nascimento, M.A.[Mario A.],
Benchmarking Access Structures for High-Dimensional Multimedia Data,
ICME00(TP11). 0007
BibRef

Breiteneder, C.[Christian], Eidenberger, H.[Horst],
Automatic Query Generation for Content-Based Image Retrieval,
ICME00(TA4). 0007
BibRef

Wilson, C.[Campbell], Srinivasan, B.[Bala], Indrawan, M.[Maria],
A General Inference Network Based Architecture for Multimedia Information Retrieval,
ICME00(MP5). 0007
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Aggarwal, G.[Gaurav], Ghosal, S.[Sugata], Dubey, P.[Pradeep],
Efficient Query Modification for Image Retrieval,
CVPR00(II: 255-262).
IEEE DOI 0005
BibRef

Lakshmi-Ratan, A.[Aparna], Maron, O.[Oded], Grimson, W.E.L.[W. Eric L.], Lozano-Perez, T.[Tomas],
A Framework for Learning Query Concepts in Image Classification,
CVPR99(I: 423-429).
IEEE DOI Query using regions. BibRef 9900

Rahman, A.F.R., Fairhurst, M.C.,
Measuring classification complexity of image databases: A novel approach,
CIAP99(893-897).
IEEE DOI 9909
BibRef

Yang, W.[Woodward], Lipman, A.[Aaron],
VLSI Hardware for Example-Based Learning,
DARPA98(1207-1214). BibRef 9800

Zotkin, D.N.[Dmitry N.], Soffer, A.[Aya], Samet, H.[Hanan],
Pictorial Query Trees for Query Specification in Image Databases,
ICPR98(Vol I: 919-921).
IEEE DOI 9808
BibRef

Soffer, A.[Aya], and Samet, H.[Hanan],
Pictorial Query Specification for Browsing Through Image Databases,
Visual97(xx). BibRef 9700

Nastar, C.[Chahab], Mitschke, M.[Matthias], Meilhac, C.[Christophe],
Efficient Query Refinement for Image Retrieval,
CVPR98(547-552).
IEEE DOI BibRef 9800

Meghini, C.[Carlo], Sebastiani, F.[Fabrizio], Straccia, U.[Umberto],
The terminological image retrieval model,
CIAP97(II: 156-163).
Springer DOI 9709
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Query by Sketch, 2D Drawings, Query Technique .