19.4.2.1 Image Databases, Large Scale Systems, Web-Scale System

Chapter Contents (Back)
Image Database. Large Scale Database. Web Scale Database. Internet Scale Database. Representation. Retrieval Mechanism. Large-scale
See also Large Scale Systems, Web-Scale System, Learning, Neural Nets.
See also Hashing for Large Scale Systems, Web-Scale System.
See also Social Media Search, Large Scale Systems, Web-Scale System.

Google Labs Similar Images,
2009. Vendor, Image Query. Vendor, Similar Images.
WWW Link. Not so much a vendor as an example. Not all images that are returned have the similar image option. Web search for similar images.

Tseng, J.C.R., Hwang, T.F., Yang, W.P.,
Efficient Image Retrieval Algorithms for Large Spatial Databases,
PRAI(8), 1994, pp. 919-944. BibRef 9400

Guo, J., Zhang, A., Remias, E., Sheikholeslami, G.,
Image Decomposition and Representation in Large Image Database Systems,
JVCIR(8), No. 2, June 1997, pp. 167-181. 9710
BibRef

Remias, E., Sheikholeslami, G., Zhang, A.D., Syeda-Mahmood, T.F.,
Supporting Content-Based Retrieval in Large Image Database-Systems,
MultToolApp(4), No. 2, March 1997, pp. 153-170. 9704
BibRef

Talagala, N.[Nisha], Asami, S.[Satoshi], Patterson, D.[David], Futernick, B.[Bob], Hart, D.[Dakin],
The Art of Massive Storage: A Web Image Archive,
Computer(33), No. 11, November 2000, pp. 22-28. More the issues of storage and use, not the query by image content. BibRef 0011

Lew, M.S.[Michael S.],
Next-Generation Web Searches from Visual Content,
Computer(33), No. 11, November 2000, pp. 46-53.
IEEE DOI The web is mostly images, but search engines do not do images yet. Combining web searching with queries. Since this paper, there are a number of web image search engines. BibRef 0011

Ananthanarayana, V.S., Murty, M.N.[M. Narasimha], Subramanian, D.K.,
Multi-dimensional semantic clustering of large databases for association rule mining,
PR(34), No. 4, April 2001, pp. 939-941.
Elsevier DOI 0101
BibRef

Ananthanarayana, V.S., Murty, M.N.[M. Narasimha], Subramanian, D.K.,
Efficient clustering of large data sets,
PR(34), No. 12, December 2001, pp. 2561-2563.
Elsevier DOI 0110
BibRef

Song, B.C.[Byung Cheol], Kim, M.J.[Myung Jun], Ra, J.B.[Jong Beom],
A fast multiresolution feature matching algorithm for exhaustive search in large image databases,
CirSysVideo(11), No. 5, May 2001, pp. 673-678.
IEEE Top Reference. 0105
Fast search using multi-level structure. Compute lower bound at each level, don't compute the full match unless needed. BibRef

Song, B.C.[Byung Cheol], Ra, J.B.[Jong Beom],
Fast exhaustive multi-resolution search algorithm based on clustering for efficient image retrieval,
JVCIR(17), No. 1, February 2006, pp. 98-106.
Elsevier DOI 0711
Exhaustive search; K-Means clustering; Multi-resolution feature
See also fast multi-resolution block matching algorithm for motion estimation, A. BibRef

Yanai, K.[Keiji], Shindo, M.[Masaya], Noshita, K.[Kohei],
A fast image-gathering system from the World-Wide Web using a PC cluster,
IVC(22), No. 1, January 2004, pp. 59-71.
Elsevier DOI 0401
Retrieve images based on the query from the web. Use general web search and keywords to get relevant image. No index of possible images. BibRef

Yanai, K.[Keiji], Kawakubo, H.[Hidetoshi], Qiu, B.[Bingyu],
A visual analysis of the relationship between word concepts and geographical locations,
CIVR09(Article No 13).
DOI Link 0907
BibRef

Yaegashi, K.[Keita], Yanai, K.[Keiji],
Geotagged Image Recognition by Combining Three Different Kinds of Geolocation Features,
ACCV10(II: 360-373).
Springer DOI 1011
BibRef
And:
Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel Learning,
ICPR10(3272-3275).
IEEE DOI 1008
BibRef
Earlier:
Can Geotags Help Image Recognition?,
PSIVT09(361-373).
Springer DOI 0901
BibRef
Earlier:
Web video retrieval based on the Earth Mover's Distance by integrating color, motion and sound,
ICIP08(89-92).
IEEE DOI 0810
BibRef

Yanai, K.[Keiji],
Image Collector II: A System to Gather a Large Number of Images from the Web,
IEICE(E88-D), No. 10, October 2005, pp. 2432-2436.
DOI Link 0510
BibRef

Yanai, K.[Keiji],
World seer: a realtime geo-tweet photo mapping system,
ICMR12(65).
DOI Link 1301
Geo information with the image. BibRef

Do, N.H.[Nga H.], Yanai, K.[Keiji],
VisualTextualRank: An Extension of VisualRank to Large-Scale Video Shot Extraction Exploiting Tag Co-occurrence,
IEICE(E98-D), No. 1, January 2015, pp. 166-172.
WWW Link. 1503
BibRef

Wang, X.J.[Xin-Jing], Zhang, L.[Lei], Li, X.R.[Xi-Rong], Ma, W.Y.[Wei-Ying],
Annotating Images by Mining Image Search Results,
PAMI(30), No. 11, November 2008, pp. 1919-1932.
IEEE DOI 0809
Model free annotation. Images and surrounding text. First -- find visually similar imges. Then text surrounding these, filter out noisy terms. BibRef

Wang, X.J.[Xin-Jing], Zhang, L.[Lei], Ma, W.Y.[Wei-Ying],
Duplicate-Search-Based Image Annotation Using Web-Scale Data,
PIEEE(100), No. 9, September 2012, pp. 2705-2721.
IEEE DOI 1209
BibRef

Wang, X.J.[Xin-Jing], Zhang, L.[Lei], Jing, F.[Feng], Ma, W.Y.[Wei-Ying],
AnnoSearch: Image Auto-Annotation by Search,
CVPR06(II: 1483-1490).
IEEE DOI 0606
BibRef

Zhang, X.[Xiao], Zhang, L.[Lei], Shum, H.Y.[Heung-Yeung],
QsRank: Query-sensitive hash code ranking for efficient-neighbor search,
CVPR12(2058-2065).
IEEE DOI 1208
BibRef

Zhang, X.[Xiao], Li, Z.W.[Zhi-Wei], Zhang, L.[Lei], Ma, W.Y.[Wei-Ying], Shum, H.Y.[Heung-Yeung],
Efficient indexing for large scale visual search,
ICCV09(1103-1110).
IEEE DOI 0909
BibRef

Li, Z.W.[Zhi-Wei], Xie, X.[Xing], Zhang, L.[Lei], Ma, W.Y.[Wei-Ying],
Searching One Billion Web Images by Content: Challenges and Opportunities,
MCAM07(33-36).
Springer DOI 0706
BibRef

Lejsek, H.[Herwig], Ásmundsson, F.H.[Friđrik Heiđar], Jónsson, B.Ţ.[Björn Ţór], Amsaleg, L.[Laurent],
NV-Tree: An Efficient Disk-Based Index for Approximate Search in Very Large High-Dimensional Collections,
PAMI(31), No. 5, May 2009, pp. 869-883.
IEEE DOI 0903
High performance system still with disk-based access. BibRef

Daoudi, I., Idrissi, K., Ouatik, S.E., Baskurt, A., Aboutajdine, D.,
An efficient high-dimensional indexing method for content-based retrieval in large image databases,
SP:IC(24), No. 10, November 2009, pp. 775-790.
Elsevier DOI 0911
CBIR; High-dimensional vector space; Region approximation approach; Kernel; Image databases; Relevance feedback BibRef

Daoudi, I., Idrissi, K., Ouatik, S.E.,
Kernel Based Approach for High Dimensional Heterogeneous Image Features Management in CBIR Context,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Jing, Y.[Yushi], Baluja, S.[Shumeet],
VisualRank: Applying PageRank to Large-Scale Image Search,
PAMI(30), No. 11, November 2008, pp. 1877-1890.
IEEE DOI 0809
Current image search (e.g. Google Images) depend on the text around the image. VisualRank looks at links between images. BibRef

Jing, Y.[Yushi], Baluja, S.[Shumeet], Rowley, H.[Henry],
Canonical image selection from the web,
CIVR07(280-287).
DOI Link 0707
BibRef

Lemire, D.[Daniel],
Faster retrieval with a two-pass dynamic-time-warping lower bound,
PR(42), No. 9, September 2009, pp. 2169-2180.
Elsevier DOI 0905
Time series; Very large databases; Indexing; Classification BibRef

Gao, S.H.[Sheng-Hua], Chia, L.T.[Liang-Tien], Cheng, X.G.[Xian-Gang],
Web image concept annotation with better understanding of tags and visual features,
JVCIR(21), No. 8, November 2010, pp. 806-814.
Elsevier DOI 1011
Large-scale dataset; Concept prediction; Mid-level visual feature; Concept-tag co-occurrence matrix; K-nearest neighbor; Tag understanding; Precision and Recall; Grouping BibRef

Gao, S.H.[Sheng-Hua], Tsang, I.W.H.[Ivor Wai-Hung], Chia, L.T.[Liang-Tien],
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications,
PAMI(35), No. 1, January 2013, pp. 92-104.
IEEE DOI 1212
BibRef
Earlier: A1, A3, A2:
Multi-layer group sparse coding: For concurrent image classification and annotation,
CVPR11(2809-2816).
IEEE DOI 1106

See also Sparse Representation With Kernels. BibRef

Gao, S.H.[Sheng-Hua], Chia, L.T.[Liang-Tien], Tsang, I.W.H., Ren, Z.X.[Zhi-Xiang],
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding,
MultMed(16), No. 3, April 2014, pp. 762-771.
IEEE DOI 1405
Hilbert spaces BibRef

Mao, Q.[Qi], Tsang, I.W.H.[Ivor Wai-Hung], Gao, S.H.[Sheng-Hua],
Objective-Guided Image Annotation,
IP(22), No. 4, April 2013, pp. 1585-1597.
IEEE DOI 1303
BibRef

Gao, S.H.[Sheng-Hua], Tsang, I.W.H.[Ivor Wai-Hung], Chia, L.T.[Liang-Tien], Zhao, P.L.[Pei-Lin],
Local features are not lonely: Laplacian sparse coding for image classification,
CVPR10(3555-3561).
IEEE DOI 1006
BibRef

Strong, G.[Grant], Gong, M.L.[Ming-Lun],
Similarity-based image organization and browsing using multi-resolution self-organizing map,
IVC(29), No. 11, October 2011, pp. 774-786.
Elsevier DOI 1111
BibRef
Earlier:
Organizing and browsing photos using different feature vectors and their evaluations,
CIVR09(Article No 3).
DOI Link 0907
BibRef
Earlier:
Browsing a Large Collection of Community Photos Based on Similarity on GPU,
ISVC08(II: 390-399).
Springer DOI 0812
Similarity-based image browsing; Self-organizing map; General computing on GPU BibRef

Strong, G.[Grant], Hoque, E.[Enamul], Gong, M.L.[Ming-Lun], Hoeber, O.[Orland],
Organizing and Browsing Image Search Results Based on Conceptual and Visual Similarities,
ISVC10(II: 481-490).
Springer DOI 1011
BibRef

Schroff, F., Criminisi, A., Zisserman, A.,
Harvesting Image Databases from the Web,
PAMI(33), No. 4, April 2011, pp. 754-766.
IEEE DOI 1103
BibRef
Earlier: ICCV07(1-8).
IEEE DOI 0710
Use text, metadata, and visual features. First, text based query, then remove irrelevant images.
See also Clustering Videos by Location. BibRef

Sapiro, G.[Guillermo],
Technical Perspective: Images Everywhere Looking for Models,
CACM(54), No. 5, may 2011, pp. 108.
DOI Link 1105
About 5,000 images per minute are uploaded to the Flickr photo-sharing site Flickr How to search this massive data. BibRef

Sevillano, X.[Xavier], Piatrik, T.[Tomas], Chandramouli, K.[Krishna], Zhang, Q.N.[Qian-Ni], Izquierdo, E.[Ebroul],
Indexing Large Online Multimedia Repositories Using Semantic Expansion and Visual Analysis,
MultMedMag(19), No. 3, 2012, pp. 53-61.
IEEE DOI 1209
BibRef

Yuan, G.X., Ho, C.H., Lin, C.J.,
Recent Advances of Large-Scale Linear Classification,
PIEEE(100), No. 9, September 2012, pp. 2584-2603.
IEEE DOI 1209
BibRef

Kuo, Y.H.[Yin-Hsi], Cheng, W.H.[Wen-Huang], Lin, H.T.[Hsuan-Tien], Hsu, W.H.[Winston H.],
Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement,
MultMed(14), No. 4, 2012, pp. 1079-1090.
IEEE DOI 1208
BibRef

Kuo, Y.H.[Yin-Hsi], Lin, H.T.[Hsuan-Tien], Cheng, W.H.[Wen-Huang], Yang, Y.H.[Yi-Hsuan], Hsu, W.H.[Winston H.],
Unsupervised auxiliary visual words discovery for large-scale image object retrieval,
CVPR11(905-912).
IEEE DOI 1106
BibRef

Zhang, S.L.[Shi-Liang], Tian, Q.[Qi], Hua, G.[Gang], Huang, Q.M.[Qing-Ming], Gao, W.[Wen],
ObjectPatchNet: Towards scalable and semantic image annotation and retrieval,
CVIU(118), No. 1, 2014, pp. 16-29.
Elsevier DOI 1312
Visual vocabulary BibRef

Savchenko, A.V.,
Directed enumeration method in image recognition,
PR(45), No. 8, August 2012, pp. 2952-2961.
Elsevier DOI 1204
Image recognition; Large database; Approximate nearest neighbor classification; Directed enumeration method; Color histogram; Gradient orientation histogram BibRef

Savchenko, A.V.,
Maximum-likelihood approximate nearest neighbor method in real-time image recognition,
PR(61), No. 1, 2017, pp. 459-469.
Elsevier DOI 1705
Approximate nearest neighbor method BibRef

Zheng, L., Wang, S.,
Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search,
SPLetters(20), No. 4, April 2013, pp. 391-394.
IEEE DOI 1303
BibRef

Hsieh, L.C.[Liang-Chi], Wu, G.L.[Guan-Long], Hsu, Y.M.[Yu-Ming], Hsu, W.[Winston],
Online image search result grouping with MapReduce-based image clustering and graph construction for large-scale photos,
JVCIR(25), No. 2, 2014, pp. 384-395.
Elsevier DOI 1412
Image search result grouping BibRef

Huang, Z., Liu, J., Cui, B., Du, X.,
A Gram-Based String Paradigm for Efficient Video Subsequence Search,
MultMed(15), No. 3, 2013, pp. 608-620.
IEEE DOI 1303
BibRef

Zhu, X., Huang, Z., Cui, J., Shen, H.T.,
Video-to-Shot Tag Propagation by Graph Sparse Group Lasso,
MultMed(15), No. 3, 2013, pp. 633-646.
IEEE DOI 1303
Assign tags to shots based on tags on training videos. BibRef

Srivastava, G.[Gaurav], Yoder, J.A.[Josiah A.], Park, J.[Johnny], Kak, A.C.[Avinash C.],
Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study,
CVIU(117), No. 10, 2013, pp. 1384-1399.
Elsevier DOI 1309
Video classification BibRef

Gordo, A.[Albert], Perronnin, F.[Florent], Gong, Y.C.[Yun-Chao], Lazebnik, S.[Svetlana],
Asymmetric Distances for Binary Embeddings,
PAMI(36), No. 1, 2014, pp. 33-47.
IEEE DOI 1312
Asymmetric distances; binary codes. Large-scale query-by-example retrieval. BibRef

Gong, Y.C.[Yun-Chao], Ke, Q.F.[Qi-Fa], Isard, M.[Michael], Lazebnik, S.[Svetlana],
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics,
IJCV(106), No. 2, January 2014, pp. 210-233.
Springer DOI 1412
BibRef

Raguram, R.[Rahul], Lazebnik, S.[Svetlana],
Computing iconic summaries of general visual concepts,
InterNet08(1-8).
IEEE DOI 0806
BibRef

Tolias, G.[Giorgos], Kalantidis, Y.[Yannis], Avrithis, Y.S.[Yannis S.], Kollias, S.D.[Stefanos D.],
Towards large-scale geometry indexing by feature selection,
CVIU(120), No. 1, 2014, pp. 31-45.
Elsevier DOI 1403
Image retrieval BibRef

Kalantidis, Y.[Yannis], Avrithis, Y.S.[Yannis S.],
Locally Optimized Product Quantization for Approximate Nearest Neighbor Search,
CVPR14(2329-2336)
IEEE DOI 1409
SIFT1B BibRef

Avrithis, Y.S.[Yannis S.], Tolias, G.[Giorgos],
Hough Pyramid Matching: Speeded-Up Geometry Re-ranking for Large Scale Image Retrieval,
IJCV(107), No. 1, March 2014, pp. 1-19.
WWW Link. 1403
BibRef

Goel, A.[Anjali], Prasad, R.[Rajesh],
Efficient indexing techniques for record matching and deduplication,
IJCVR(4), No. 1-2, 2014, pp. 75-85.
DOI Link 1403
BibRef

Viana, W., Braga, R., Lemos, F.D.A., de Souza, J.M.O., Carmo, R.A.F., Andrade, R.M.C., Martin, H.,
Mobile Photo Recommendation and Logbook Generation Using Context-Tagged Images,
MultMedMag(21), No. 1, January 2014, pp. 24-34.
IEEE DOI 1405
Internet BibRef

Chen, D.M., Girod, B.,
Memory-Efficient Image Databases for Mobile Visual Search,
MultMedMag(21), No. 1, January 2014, pp. 14-23.
IEEE DOI 1405
data compression BibRef

Chen, D.M., Girod, B.,
A Hybrid Mobile Visual Search System With Compact Global Signatures,
MultMed(17), No. 7, July 2015, pp. 1019-1030.
IEEE DOI 1506
Databases BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Tian, Q.[Qi],
Coupled Binary Embedding for Large-Scale Image Retrieval,
IP(23), No. 8, August 2014, pp. 3368-3380.
IEEE DOI 1408
feature extraction BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Liu, Z.Q.[Zi-Qiong], Tian, Q.[Qi],
Fast Image Retrieval: Query Pruning and Early Termination,
MultMed(17), No. 5, May 2015, pp. 648-659.
IEEE DOI 1505
BibRef
Earlier:
Packing and Padding: Coupled Multi-index for Accurate Image Retrieval,
CVPR14(1947-1954)
IEEE DOI 1409
BibRef
Earlier:
LP-Norm IDF for Large Scale Image Search,
CVPR13(1626-1633)
IEEE DOI 1309
Accuracy BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Wang, J.D.[Jing-Dong], Tian, Q.[Qi],
Accurate Image Search with Multi-Scale Contextual Evidences,
IJCV(120), No. 1, October 2016, pp. 1-13.
Springer DOI 1609
BibRef

Zheng, L.[Liang], Wang, S.J.[Sheng-Jin], Tian, Q.[Qi],
L_p-Norm IDF for Scalable Image Retrieval,
IP(23), No. 8, August 2014, pp. 3604-3617.
IEEE DOI 1408
document handling BibRef

Liu, Z.Q.[Zi-Qiong], Wang, S.J.[Sheng-Jin], Zheng, L.[Liang], Tian, Q.[Qi],
Robust ImageGraph: Rank-Level Feature Fusion for Image Search,
IP(26), No. 7, July 2017, pp. 3128-3141.
IEEE DOI 1706
Databases, Feature extraction, Image edge detection, Optimization, Robustness, Visualization, Weight measurement, Image search, ImageGraph, feature, fusion BibRef

Zhang, L.[Lei], Zhao, Y.[Yao], Zhu, Z.F.[Zhen-Feng],
Extracting shared subspace incrementally for multi-label image classification,
VC(30), No. 12, December 2014, pp. 1359-1371.
Springer DOI 1411
BibRef

Murray, N.[Naila], Jégou, H.[Hervé], Perronnin, F.[Florent], Zisserman, A.[Andrew],
Interferences in Match Kernels,
PAMI(39), No. 9, September 2017, pp. 1797-1810.
IEEE DOI 1708
Encoding, Image retrieval, Interference, Kernel, Quantization (signal), Standards, Visualization, Image-level representations, large-scale image retrieval, match kernels BibRef

Takahashi, T., Kurita, T.,
Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval,
PAMI(37), No. 7, July 2015, pp. 1469-1479.
IEEE DOI 1506
Accuracy BibRef

Li, W., Wang, C., Zhang, L., Rui, Y., Zhang, B.,
Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database,
MultMed(17), No. 7, July 2015, pp. 967-980.
IEEE DOI 1506
Clustering algorithms BibRef

Kamel, A.[Abdelrahman], Mahdy, Y.B.[Youssef B.], Hussain, K.F.[Khaled F.],
Multi-Bin search: improved large-scale content-based image retrieval,
MultInfoRetr(4), No. 3, September 2015, pp. 205-216.
Springer DOI 1508
BibRef
Earlier: ICIP13(2597-2601)
IEEE DOI 1412
Binary Hashing; Image retrieval; Multi-bin search BibRef

Ordonez, V.[Vicente], Liu, W.[Wei], Deng, J.[Jia], Choi, Y.J.[Ye-Jin], Berg, A.C.[Alexander C.], Berg, T.L.[Tamara L.],
Predicting Entry-Level Categories,
IJCV(115), No. 1, October 2015, pp. 29-43.
Springer DOI 1511
BibRef
Earlier: A1, A3, A4, A5, A6, Only:
From Large Scale Image Categorization to Entry-Level Categories,
ICCV13(2768-2775)
IEEE DOI 1403
categories BibRef

Wang, H., Xiao, B., Wang, L., Zhu, F., Jiang, Y., Wu, J.,
CHCF: A Cloud-Based Heterogeneous Computing Framework for Large-Scale Image Retrieval,
CirSysVideo(25), No. 12, December 2015, pp. 1900-1913.
IEEE DOI 1601
Data mining BibRef

Rubinstein, M.[Michael], Liu, C.[Ce], Freeman, W.T.[William T.],
Joint Inference in Weakly-Annotated Image Datasets via Dense Correspondence,
IJCV(119), No. 1, August 2016, pp. 23-45.
Springer DOI 1608
BibRef
Earlier:
Annotation Propagation in Large Image Databases via Dense Image Correspondence,
ECCV12(III: 85-99).
Springer DOI 1210
BibRef

Ordonez, V.[Vicente], Han, X.[Xufeng], Kuznetsova, P.[Polina], Kulkarni, G.[Girish], Mitchell, M.[Margaret], Yamaguchi, K.[Kota], Stratos, K.[Karl], Goyal, A.[Amit], Dodge, J.[Jesse], Mensch, A.[Alyssa], Daumé, III, H.[Hal], Berg, A.C.[Alexander C.], Choi, Y.[Yejin], Berg, T.L.[Tamara L.],
Large Scale Retrieval and Generation of Image Descriptions,
IJCV(119), No. 1, August 2016, pp. 46-59.
Springer DOI 1608
BibRef

Song, X.H.[Xin-Hang], Jiang, S.Q.[Shu-Qiang], Herranz, L.[Luis], Kong, Y.[Yan], Zheng, K.[Kai],
Category co-occurrence modeling for large scale scene recognition,
PR(59), No. 1, 2016, pp. 98-111.
Elsevier DOI 1609
Scene recognition BibRef

Meila, M.[Marina], Chen, H.[Harr],
Bayesian Non-Parametric Clustering of Ranking Data,
PAMI(38), No. 11, November 2016, pp. 2156-2169.
IEEE DOI 1610
Analytical models. large real-world ranking datasets. BibRef

Zhai, Y.T.[Yi-Teng], Ong, Y.S.[Yew-Soon], Tsang, I.W.[Ivor W.],
Making Trillion Correlations Feasible in Feature Grouping and Selection,
PAMI(38), No. 12, December 2016, pp. 2472-2486.
IEEE DOI 1609
Algorithm design and analysis. datasets with 30million dimnsions. BibRef

Limón, X.[Xavier], Guerra-Hernández, A.[Alejandro], Cruz-Ramírez, N.[Nicandro], Acosta-Mesa, H.G.[Héctor-Gabriel], Grimaldo, F.[Francisco],
A Windowing strategy for Distributed Data Mining optimized through GPUs,
PRL(93), No. 1, 2017, pp. 23-30.
Elsevier DOI 1706
Distributed Data Mining. BibRef

Cho, J.[Jaehyeong], Heo, J.P.[Jae-Pil], Kim, T.[Taeyoung], Han, B.H.[Bo-Hyung], Yoon, S.E.[Sung-Eui],
Rank-based voting with inclusion relationship for accurate image search,
VC(33), No. 6-8, June 2017, pp. 1049-1059.
Springer DOI 1706
BibRef

Husain, S.S.[Syed S.], Bober, M.[Miroslaw],
Improving Large-Scale Image Retrieval Through Robust Aggregation of Local Descriptors,
PAMI(39), No. 9, September 2017, pp. 1783-1796.
IEEE DOI 1708
BibRef
Earlier:
Robust and scalable aggregation of local features for ultra large-scale retrieval,
ICIP14(2799-2803)
IEEE DOI 1502
Image retrieval, Multimedia communication, Pipelines, Principal component analysis, Robustness, Visualization, Vocabulary, Visual search, global descriptor, image retrieval, local, descriptor, aggregation BibRef

Husain, S.S.[Syed Sameed], Ong, E.J.[Eng-Jon], Bober, M.[Miroslaw],
ACTNET: End-to-End Learning of Feature Activations and Multi-stream Aggregation for Effective Instance Image Retrieval,
IJCV(129), No. 5, May 2021, pp. 1432-1450.
Springer DOI 2105
BibRef

Hong, R., Li, L., Cai, J., Tao, D., Wang, M., Tian, Q.,
Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud,
IP(26), No. 9, September 2017, pp. 4128-4138.
IEEE DOI 1708
cloud computing, image processing, image retrieval, indexing, optimisation, visual databases, cloud service design, coherent semantic-visual indexing, digital image searching, interactive optimization method, large-scale image retrieval, multimedia service, semantic-visual joint space system, spectral hashing, user queries, Algorithm design and analysis, Cloud computing, Feature extraction, Image retrieval, Indexing, Semantics, Visualization, Search, attribute-assisted, cloud computing, distributed system, hypergraph BibRef

Liu, S., Shao, J., Lu, H.,
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search,
MultMed(19), No. 8, August 2017, pp. 1785-1797.
IEEE DOI 1708
Encoding, Indexes, Information entropy, Nearest neighbor searches, Vector quantization, High dimensional data, large scale data, nearest neighbor search, similarity search, vector, quantization BibRef

Hoffmann, L.[Leah],
All The Pretty Pictures,
CACM(60), No. 9, September 2017, pp. 104-ff.
DOI Link 1708
Interview with Alexei A. Efros. ACM Prize in Computing winner of 2016. BibRef

Greengard, S.[Samuel],
It's All About Image,
CACM(60), No. 9, September 2017, pp. 13-15.
DOI Link 1708
BibRef

Liu, M.[Maofu], Zhang, L.M.[Lu-Ming], Liu, Y.[Ya], Hu, H.J.[Hui-Jun], Fang, W.[Wei],
Recognizing semantic correlation in image-text Weibo via feature space mapping,
CVIU(163), No. 1, 2017, pp. 58-66.
Elsevier DOI 1712
Recognizing semantic correlation BibRef

Luo, Y.[Yadan], Yang, Y.[Yang], Shen, F.[Fumin], Huang, Z.[Zi], Zhou, P.[Pan], Shen, H.T.[Heng Tao],
Robust discrete code modeling for supervised hashing,
PR(75), No. 1, 2018, pp. 128-135.
Elsevier DOI 1712
Supervised hashing BibRef

Song, J.K.[Jing-Kuan], Gao, L.L.[Lian-Li], Liu, L.[Li], Zhu, X.F.[Xiao-Feng], Sebe, N.[Nicu],
Quantization-based hashing: a general framework for scalable image and video retrieval,
PR(75), No. 1, 2018, pp. 175-187.
Elsevier DOI 1712
Hashing BibRef

Hu, M.Q.[Meng-Qiu], Yang, Y.[Yang], Shen, F.M.[Fu-Min], Xie, N.[Ning], Shen, H.T.[Heng Tao],
Hashing with Angular Reconstructive Embeddings,
IP(27), No. 2, February 2018, pp. 545-555.
IEEE DOI 1712
Binary codes, Data structures, Hypercubes, Image reconstruction, Linear programming, Quantization (signal), hashing BibRef

Gui, J.[Jie], Liu, T.L.[Tong-Liang], Sun, Z.N.[Zhe-Nan], Tao, D.C.[Da-Cheng], Tan, T.N.[Tie-Niu],
Fast Supervised Discrete Hashing,
PAMI(40), No. 2, February 2018, pp. 490-496.
IEEE DOI 1801
Algorithm design and analysis, Binary codes, Closed-form solutions, Linear programming, Optimization, supervised discrete hashing BibRef

Pang, S.M.[Shan-Min], Xue, J.R.[Jian-Ru], Gao, Z.N.[Zhan-Ning], Zheng, L.H.[Li-Hong], Zhu, L.[Li],
Large-scale vocabularies with local graph diffusion and mode seeking,
SP:IC(63), 2018, pp. 1-8.
Elsevier DOI 1804
Image retrieval, Local graph diffusion, Mode-seeking, Large-scale clustering BibRef

Wang, M.[Mao], Zhao, L.[Lili], Ming, Y.W.[Yue-Wei], Zhu, E.[En], Yin, J.P.[Jian-Ping],
Boosting landmark retrieval baseline with burstiness detection,
IET-CV(12), No. 3, April 2018, pp. 312-321.
DOI Link 1804
The many matches tend to be close to the same location, deal with that. BibRef

Ma, Y.[Yuena], Feng, X.Y.[Xiao-Yi], Liu, Y.[Yang], Li, S.H.[Shu-Hong],
BCH-LSH: a new scheme of locality-sensitive hashing,
IET-IPR(12), No. 6, June 2018, pp. 850-855.
DOI Link 1805
Dealing with the issue of random indexing when the hash is a duplicate. BibRef

Li, P.[Peng], Zhang, X.Y.[Xiao-Yu], Zhu, X.O.[Xia-Obin], Ren, P.[Peng],
Online Hashing for Scalable Remote Sensing Image Retrieval,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Han, L.R.[Li-Rong], Li, P.[Peng], Bai, X.[Xiao], Grecos, C.[Christos], Zhang, X.Y.[Xiao-Yu], Ren, P.[Peng],
Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Dai, B.[Bo], Mei, F.[Feng], Xu, L.[Liujing], Ji, D.L.[De-Liang], Shi, J.[Jia],
Retraction notice,
JVCIR(62), 2019, pp. 418.
Elsevier DOI 1908
BibRef
Earlier:
A new deep representation for large-scale scene classification,
JVCIR(55), 2018, pp. 761-765.
Elsevier DOI 1809
Scene classification, Graphlets, Finished bag, Region adjacency graph BibRef

Valsesia, D., Coluccia, G., Bianchi, T., Magli, E.,
Large-Scale Image Retrieval Based on Compressed Camera Identification,
MultMed(17), No. 9, September 2015, pp. 1439-1449.
IEEE DOI 1509
Internet BibRef

Valsesia, D., Coluccia, G., Bianchi, T., Magli, E.,
ToothPic: Camera-Based Image Retrieval on Large Scales,
MultMedMag(26), No. 2, April 2019, pp. 33-43.
IEEE DOI 1906
Fingerprint recognition, Cameras, Agriculture, Image coding, Sensors, Robustness, Databases BibRef

Fan, L.[Lili], Zhao, H.W.[Hong-Wei], Zhao, H.[Haoyu],
Distribution Consistency Loss for Large-Scale Remote Sensing Image Retrieval,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Fan, L.[Lili], Zhao, H.W.[Hong-Wei], Zhao, H.[Haoyu],
Global Optimization: Combining Local Loss With Result Ranking Loss in Remote Sensing Image Retrieval,
GeoRS(59), No. 8, August 2021, pp. 7011-7026.
IEEE DOI 2108
Optimization, Feature extraction, Training, Remote sensing, Image retrieval, Unsupervised learning, Fans, Deep learning, sample mining BibRef

Preethy Byju, A.[Akshara], Demir, B.[Begüm], Bruzzone, L.[Lorenzo],
A Progressive Content-Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives,
GeoRS(58), No. 8, August 2020, pp. 5739-5751.
IEEE DOI 2007
Image retrieval, Transform coding, Image coding, Image resolution, Encoding, Decoding, Remote sensing, Compressed image domain, remote sensing (RS) BibRef

Preethy Byju, A.[Akshara], Sumbul, G., Demir, B.[Begüm], Bruzzone, L.[Lorenzo],
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain,
GeoRS(59), No. 4, April 2021, pp. 3458-3472.
IEEE DOI 2104
Transform coding, Image coding, Image resolution, Generative adversarial networks, Neural networks, Semantics, scene classification BibRef

Brogan, J.[Joel], Bharati, A.[Aparna], Moreira, D.[Daniel], Rocha, A.[Anderson], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.], Scheirer, W.J.[Walter J.],
Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval,
IP(30), 2021, pp. 6892-6905.
IEEE DOI 2108
Image retrieval, Task analysis, Social networking (online), Internet, Media, Quantization (signal), Object detection, content retrieval BibRef


Drenkow, N.[Nathan], Burlina, P.[Philippe], Fendley, N.[Neil], Odoemene, O.[Onyekachi], Markowitz, J.[Jared],
Addressing Visual Search in Open and Closed Set Settings,
EarthVision21(1143-1151)
IEEE DOI 2109
Visualization, Image resolution, Object detection, Search problems, Probabilistic logic, Trajectory, Bayes methods BibRef

Roullet, C.[Cindy], Fredrick, D.[David], Gauch, J.[John], Vennarucci, R.G.[Rhodora G.], Loder, W.[William],
Transfer Learning Methods for Extracting, Classifying and Searching Large Collections of Historical Images and Their Captions,
PATRECH20(185-199).
Springer DOI 2103
BibRef

Brown, A.[Andrew], Xie, W.[Weidi], Kalogeiton, V.[Vicky], Zisserman, A.[Andrew],
Smooth-AP: Smoothing the Path Towards Large-scale Image Retrieval,
ECCV20(IX:677-694).
Springer DOI 2011
BibRef

Alakkari, S., Dingliana, J.,
Modelling Large Scale Datasets Using Partitioning-Based PCA,
ICIP19(2646-2650)
IEEE DOI 1910
Large-scale Data, PCA, Pattern Extraction, Image Data Representation, Compression BibRef

Kim, E.S.[Eun-Sol], On, K.W.[Kyoung-Woon], Kim, J.S.[Jong-Seok], Heo, Y.J.[Yu-Jung], Choi, S.H.[Seong-Ho], Lee, H.D.[Hyun-Dong], Zhang, B.T.[Byoung-Tak],
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification,
Large-Scale18(IV:306-316).
Springer DOI 1905
BibRef

Rossetto, L.[Luca], Schuldt, H.[Heiko], Awad, G.[George], Butt, A.A.[Asad A.],
V3C: A Research Video Collection,
MMMod19(I:349-360).
Springer DOI 1901
BibRef

Sun, P.[Peng], Yan, C.[Cheng], Wang, S.[Shuai], Bai, X.[Xiao],
Discriminate Cross-modal Quantization for Efficient Retrieval,
ICPR18(3328-3334)
IEEE DOI 1812
Optimization, Quantization (signal), Correlation, Binary codes, Training data, Training, Kernel BibRef

Radenovic, F., Iscen, A., Tolias, G., Avrithis, Y., Chum, O.,
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking,
CVPR18(5706-5715)
IEEE DOI 1812
Labeling, Image retrieval, Benchmark testing, Protocols, Visualization, Reliability BibRef

Bolón-Canedo, V.[Verónica], Remeseiro, B.[Beatriz], Cancela, B.[Brais],
Feature Selection for Big Visual Data: Overview and Challenges,
ICIAR18(136-143).
Springer DOI 1807
BibRef

Ozdemir, B.[Bahadir], Najibi, M.[Mahyar], Davis, L.[Larry],
Supervised Incremental Hashing,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Lan, Y.H.[Yin-He], Weng, Z.Y.[Zhen-Yu], Zhu, Y.S.[Yue-Sheng],
A new spherical hashing method in a low-dimensional isotropic space,
VCIP17(1-4)
IEEE DOI 1804
cryptography, file organisation, SPH, data dimensionality, hashing functions, hypersphere, low-dimensional isotropic space, low-dimensional BibRef

Ocsa, A.[Alexander], Huillca, J.L.[Jose Luis], del Alamo, C.L.[Cristian Lopez],
On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets,
CIARP17(450-457).
Springer DOI 1802
BibRef

Li, P., Xie, J., Wang, Q., Zuo, W.,
Is Second-Order Information Helpful for Large-Scale Visual Recognition?,
ICCV17(2089-2097)
IEEE DOI 1802
covariance matrices, feature extraction, image representation, neural nets, object detection, 50-layer ResNet, ConvNets, MPNCOV, Visualization BibRef

Jain, H., Zepeda, J., Pérez, P., Gribonval, R.,
SuBiC: A Supervised, Structured Binary Code for Image Search,
ICCV17(833-842)
IEEE DOI 1802
binary codes, convolution, entropy, image coding, image representation, image retrieval, Visualization BibRef

Popescu, A., Ginsca, A., Borgne, H.L.,
Scale-Free Content Based Image Retrieval (or Nearly so),
WSM17(280-288)
IEEE DOI 1802
Complexity theory, Feature extraction, Image retrieval, Indexes, Scalability, Semantics, Visualization BibRef

Zhang, W.[Wei], Cao, X.C.[Xiao-Chun], Wang, R.[Rui], Guo, Y.F.[Yuan-Fang], Chen, Z.N.[Zhi-Neng],
Binarized Mode Seeking for Scalable Visual Pattern Discovery,
CVPR17(6827-6835)
IEEE DOI 1711
Binary codes, Flickr, Kernel, Space exploration, Standards, Visualization BibRef

Cao, Y.[Yue], Long, M.S.[Ming-Sheng], Wang, J.M.[Jian-Min], Liu, S.C.[Shi-Chen],
Deep Visual-Semantic Quantization for Efficient Image Retrieval,
CVPR17(916-925)
IEEE DOI 1711
Adaptation models, Binary codes, Image representation, Image retrieval, Quantization (signal), Semantics, Standards BibRef

Zhang, H.Q.[Hai-Qing], Li, D.[Daiwei], Li, T.[Tianrui], Yu, X.[Xi], Wang, T.[Tao], Bouras, A.[Abdelaziz],
A pattern-aware method for maximal fuzzy supplement frequent pattern mining,
ICIVC17(173-179)
IEEE DOI 1708
Find the hidden but useful info. Algorithm design and analysis, Data mining, Diseases, Heuristic algorithms, Itemsets, Search problems, Uncertainty, FSFP-tree, fuzzy weight constraints, maximal fuzzy supplement frequent pattern, pattern-aware, dynamic, approach BibRef

Chang, J.H.R.[Jen-Hao Rick], Sankaranarayanan, A.C.[Aswin C.], Vijaya Kumar, B.V.K.,
Random Features for Sparse Signal Classification,
CVPR16(5404-5412)
IEEE DOI 1612
BibRef

Zhang, T.[Ting], Wang, J.D.[Jing-Dong],
Collaborative Quantization for Cross-Modal Similarity Search,
CVPR16(2036-2045)
IEEE DOI 1612
BibRef

Wang, X.J.[Xiao-Juan], Zhang, T.[Ting], Qi, G.J.[Guo-Jun], Tang, J.H.[Jin-Hui], Wang, J.D.[Jing-Dong],
Supervised Quantization for Similarity Search,
CVPR16(2018-2026)
IEEE DOI 1612
searching for semantically similar images from a large database BibRef

Iscen, A., Rabbat, M., Furon, T.,
Efficient Large-Scale Similarity Search Using Matrix Factorization,
CVPR16(2073-2081)
IEEE DOI 1612
BibRef

Jain, H.[Himalaya], Pérez, P.[Patrick], Gribonval, R.[Rémi], Zepeda, J.[Joaquin], Jégou, H.[Hervé],
Approximate Search with Quantized Sparse Representations,
ECCV16(VII: 681-696).
Springer DOI 1611
task of storing a large collection of vectors, such as visual descriptors, and of searching in it. BibRef

Ferrarini, B., Ehsan, S., Rehman, N.U., McDonald-Maier, K.D.,
Performance characterization of image feature detectors in relation to the scene content utilizing a large image database,
WSSIP15(117-120)
IEEE DOI 1603
feature extraction BibRef

Shakerdonyavi, M., Shanbehzadeh, J., Sarrafzadeh, A.,
Large-Scale Image Retrieval Using Local Binary Patterns and Iterative Quantization,
DICTA15(1-5)
IEEE DOI 1603
binary codes BibRef

Matzen, K.[Kevin], Snavely, N.[Noah],
BubbLeNet: Foveated Imaging for Visual Discovery,
ICCV15(1931-1939)
IEEE DOI 1602
Computer vision BibRef

Song, D.J.[Dong-Jin], Liu, W.[Wei], Ji, R.R.[Rong-Rong], Meyer, D.A.[David A.], Smith, J.R.[John R.],
Top Rank Supervised Binary Coding for Visual Search,
ICCV15(1922-1930)
IEEE DOI 1602
Binary codes BibRef

Chen, Y.L.[Yi-Lei], Hsu, C.T.[Chiou-Ting],
Revealing Smooth Structure of Visual Data by Permutation on Manifolds,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Han, S.C.[Sang-Chun], Boutin, M.[Mireille],
The hidden structure of image datasets,
ICIP15(1095-1099)
IEEE DOI 1512
clustering; high-dimensional space; random projection BibRef

Liu, W.W.[Wei-Wen], Chen, D.[Danni],
Big data classification based on multi-view method,
ICWAPR15(165-170)
IEEE DOI 1511
Big Data BibRef

Balicki, J.[Jerzy], Korlub, W.[Waldemar], Paluszak, J.[Jacek],
Big Data Processing by Volunteer Computing Supported by Intelligent Agents,
PReMI15(268-278).
Springer DOI 1511
BibRef

Deza, A.[Arturo], Parikh, D.[Devi],
Understanding image virality,
CVPR15(1818-1826)
IEEE DOI 1510
5 key visual attributes that correlate with virality. BibRef

Rastegari, M.[Mohammad], Keskin, C.[Cem], Kohli, P.[Pushmeet], Izadi, S.[Shahram],
Computationally bounded retrieval,
CVPR15(1501-1509)
IEEE DOI 1510
BibRef

Ristin, M.[Marko], Gall, J.[Juergen], Guillaumin, M.[Matthieu], Van Gool, L.J.[Luc J.],
From categories to subcategories: Large-scale image classification with partial class label refinement,
CVPR15(231-239)
IEEE DOI 1510
BibRef

Babenko, A.[Artem], Lempitsky, V.[Victor],
Tree quantization for large-scale similarity search and classification,
CVPR15(4240-4248)
IEEE DOI 1510
BibRef

Li, X.C.[Xin-Chao], Larson, M.[Martha], Hanjalic, A.[Alan],
Pairwise geometric matching for large-scale object retrieval,
CVPR15(5153-5161)
IEEE DOI 1510
BibRef

Xiao, F.Y.[Fan-Yi], Hebert, M.[Martial],
Efficient Model Evaluation with Bilinear Separation Model,
WACV15(789-796)
IEEE DOI 1503
Approximation methods. Large set of models for an image. Reduce computation growth. BibRef

Maidi, M.[Madjid], Preda, M.[Marius], Lehiani, Y.[Yassine],
Markerless identification and tracking for scalable image database,
ICIP14(403-407)
IEEE DOI 1502
Computer vision BibRef

Hezel, N.[Nico], Barthel, K.U.[Kai Uwe], Jung, K.[Klaus],
ImageX - Explore and Search Local/Private Images,
MMMod18(II:372-376).
Springer DOI 1802
BibRef

Barthel, K.U.[Kai Uwe], Hezel, N.[Nico], Jung, K.[Klaus],
Fusing Keyword Search and Visual Exploration for Untagged Videos,
MMMod18(II:413-418).
Springer DOI 1802
BibRef

Barthel, K.U.[Kai Uwe], Hezel, N.[Nico], Mackowiak, R.[Radek],
ImageMap: Visually Browsing Millions of Images,
MMMod15(II: 287-290).
Springer DOI 1501
BibRef

Dang, T.N.[Tuan Nhon], Wilkinson, L.[Leland],
PixSearcher: Searching Similar Images in Large Image Collections through Pixel Descriptors,
ISVC14(II: 726-735).
Springer DOI 1501
BibRef

Barthel, K.U.[Kai Uwe], Hezel, N.[Nico], Mackowiak, R.[Radek],
Navigating a Graph of Scenes for Exploring Large Video Collections,
MMMod16(II: 418-423).
Springer DOI 1601
BibRef
Earlier:
Graph-Based Browsing for Large Video Collections,
MMMod15(II: 237-242).
Springer DOI 1501
BibRef

Negi, S.[Sumit], Chaudhury, S.[Santanu],
Identifying Diverse Set of Images in Flickr,
ICPR14(3624-3629)
IEEE DOI 1412
Clustering algorithms BibRef

Davis, D.[Damek], Balzer, J.[Jonathan], Soatto, S.[Stefano],
Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search,
CVPR14(2115-2122)
IEEE DOI 1409
high dimensional search;nearest neighbors;sparse kernel approximations BibRef

Naik, N.[Nikhil], Philipoom, J.[Jade], Raskar, R.[Ramesh], Hidalgo, C.[Cesar],
Streetscore: Predicting the Perceived Safety of One Million Streetscapes,
WebScale14(793-799)
IEEE DOI 1409
internet vision BibRef

Chandrasekhar, V.[Vijay], Tan, C.[Cheston], Min, W.[Wu], Li, L.Y.[Li-Yuan], Li, X.L.[Xiao-Li], Hwee, L.J.[Lim Joo],
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data,
ICPR14(2631-2636)
IEEE DOI 1412
Clustering algorithms BibRef

Min, W.[Wu], Li, X.[Xiao], Tan, C.[Cheston], Mandal, B.[Bappaditya], Li, L.Y.[Li-Yuan], Lim, J.H.[Joo Hwee],
Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation,
Egocentric14(541-548)
IEEE DOI 1409
egocentric retrieval graph clustering BibRef

Collins, M.D.[Maxwell D.], Liu, J.[Ji], Xu, J.[Jia], Mukherjee, L.[Lopamudra], Singh, V.[Vikas],
Spectral Clustering with a Convex Regularizer on Millions of Images,
ECCV14(III: 282-298).
Springer DOI 1408
BibRef

Xia, Y.[Yan], Cao, X.D.[Xu-Dong], Wen, F.[Fang], Sun, J.[Jian],
Well Begun Is Half Done: Generating High-Quality Seeds for Automatic Image Dataset Construction from Web,
ECCV14(IV: 387-400).
Springer DOI 1408
BibRef

Deng, J.[Jia], Ding, N.[Nan], Jia, Y.Q.[Yang-Qing], Frome, A.[Andrea], Murphy, K.[Kevin], Bengio, S.[Samy], Li, Y.[Yuan], Neven, H.[Hartmut], Adam, H.[Hartwig],
Large-Scale Object Classification Using Label Relation Graphs,
ECCV14(I: 48-64).
Springer DOI 1408
BibRef

Panda, J., Jawahar, C.V.,
Efficient and Rich Annotations for Large Photo Collections,
ACPR13(335-339)
IEEE DOI 1408
Internet BibRef

Baek, I.[Iljoo], Stine, T.[Taylor], Dash, D.[Denver], Xiao, F.[Fanyi], Sheikh, Y.[Yaser], Movshovitz-Attias, Y.[Yair], Chen, M.[Mei], Hebert, M.[Martial], Kanade, T.[Takeo],
Physical querying with multi-modal sensing,
WACV14(183-190)
IEEE DOI 1406
Computer architecture HOG-based object recognition, SURF-based localization information, automatic speech recognition, and user feedback information. BibRef

Lux, M.[Mathias], Macstravic, G.[Glenn],
The LIRE Request Handler: A Solr Plug-In for Large Scale Content Based Image Retrieval,
MMMod14(II: 374-377).
Springer DOI 1405
For Apache Solr search server. BibRef

Wang, J.Y.[Jing-Ya], Korayem, M., Crandall, D.J.,
Observing the Natural World with Flickr,
CVCP13(452-459)
IEEE DOI 1403
Internet BibRef

Kim, G.[Gunhee], Xing, E.P.,
Discovering Pictorial Brand Associations from Large-Scale Online Image Data,
LCVC13(404-411)
IEEE DOI 1403
Internet BibRef

Jia, Y.Q.[Yang-Qing], Darrell, T.J.[Trevor J.],
Latent Task Adaptation with Large-Scale Hierarchies,
ICCV13(2080-2087)
IEEE DOI 1403
image classification; large scale; object recognition; optimization BibRef

Panda, J.[Jayaguru], Brown, M.S.[Michael S.], Jawahar, C.V.,
Offline Mobile Instance Retrieval with a Small Memory Footprint,
ICCV13(1257-1264)
IEEE DOI 1403
Average Precision; Instance Retrieval; memory footprint Entire index on the mobile device rather than network. BibRef

Qiu, S.[Shi], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Visual Semantic Complex Network for Web Images,
ICCV13(3623-3630)
IEEE DOI 1403
BibRef

Dai, L.[Lican], Sun, X.Y.[Xiao-Yan], Wu, F.[Feng], Yu, N.H.[Neng-Hai],
Large scale image retrieval with visual groups,
ICIP13(2582-2586)
IEEE DOI 1412
Image retrieval BibRef

Vanegas, J.A.[Jorge A.], González, F.A.[Fabio A.],
Large Scale Image Indexing Using Online Non-negative Semantic Embedding,
CIARP13(I:367-374).
Springer DOI 1311
BibRef

Sun, X.S.[Xiao-Shuai], Wang, X.J.[Xin-Jing], Yao, H.X.[Hong-Xun], Zhang, L.[Lei],
Exploring Implicit Image Statistics for Visual Representativeness Modeling,
CVPR13(516-523)
IEEE DOI 1309
Integrate positive and negative examples. BibRef

Dean, T.[Thomas], Ruzon, M.A.[Mark A.], Segal, M.[Mark], Shlens, J.[Jonathon], Vijayanarasimhan, S.[Sudheendra], Yagnik, J.[Jay],
Fast, Accurate Detection of 100,000 Object Classes on a Single Machine,
CVPR13(1814-1821)
IEEE DOI 1309
deformable part models; locality-sensitive hashing; object detection BibRef

Chen, Q.A.[Qi-Ang], Song, Z.[Zheng], Feris, R.[Rogerio], Datta, A.[Ankur], Cao, L.L.[Liang-Liang], Huang, Z.Y.[Zhong-Yang], Yan, S.C.[Shui-Cheng],
Efficient Maximum Appearance Search for Large-Scale Object Detection,
CVPR13(3190-3197)
IEEE DOI 1309
BibRef

Goel, A.[Abhinav], Juneja, M.[Mayank], Jawahar, C.V.,
Efficient Category Mining by Leveraging Instance Retrieval,
BDCV13(437-443)
IEEE DOI 1309
e.g. street-view images. BibRef

Ji, Z.P.[Zheng-Ping],
Decoupling Sparse Coding with Fusion of Fisher Vectors and Scalable SVMs for Large-Scale Visual Recognition,
BDCV13(450-457)
IEEE DOI 1309
BibRef

Gilbert, A.[Andrew], Bowden, R.[Richard],
Geometric Mining: Scaling Geometric Hashing to Large Datasets,
WSM15(1027-1035)
IEEE DOI 1602
BibRef
Earlier:
A Picture Is Worth a Thousand Tags: Automatic Web Based Image Tag Expansion,
ACCV12(II:447-460).
Springer DOI 1304
Encoding BibRef

Arpit, D.[Devansh], Wu, S.[Shuang], Natarajan, P.[Pradeep], Prasad, R.[Rohit], Natarajan, P.[Premkumar],
Ridge Regression based classifiers for large scale class imbalanced datasets,
WACV13(267-274).
IEEE DOI 1303
Class imbalance: you are 99% correct to just say the standard class. BibRef

Khan, U.M.[Umair Mateen], Mills, S.[Steven], McCane, B.[Brendan], Trotman, A.[Andrew],
Emergent Properties from Feature Co-occurrence in Image Collections,
ICPR14(2347-2352)
IEEE DOI 1412
BibRef
Earlier: A1, A3, A4, Only:
Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach,
DICTA12(1-8).
IEEE DOI 1303
Accuracy BibRef

Liu, R.J.[Ru-Jie], Wang, Y.H.[Yue-Hong], Yu, H.[Hao], Naoi, S.[Satoshi],
A renewed image annotation baseline by image embedding and tag correlation,
ICPR12(3216-3219).
WWW Link. 1302
nearest neighbor tag transfer. BibRef

Boom, B.J.[Bastiaan J.], Huang, P.X.[Phoenix X.], He, J.[Jiyin], Fisher, R.B.[Robert B.],
Supporting ground-truth annotation of image datasets using clustering,
ICPR12(1542-1545).
WWW Link. 1302
Cluster then annotate the clusters BibRef

Bespalov, D.[Dmitriy], Qi, Y.J.[Yan-Jun], Bai, B.[Bing], Shokoufandeh, A.[Ali],
Large-scale image classification using supervised spatial encoder,
ICPR12(581-584).
WWW Link. 1302
BibRef

Pires, B.R.[Bernardo Rodrigues], Moura, J.M.F.[Jose M.F.],
Feature matching in growing databases,
ICIP12(1913-1916).
IEEE DOI 1302
BibRef

Yuan, J.B.[Jiang-Bo], Liu, X.W.[Xiu-Wen],
Product tree quantization for approximate nearest neighbor search,
ICIP15(2035-2039)
IEEE DOI 1512
BibRef
Earlier:
A novel index structure for large scale image descriptor search,
ICIP12(1937-1940).
IEEE DOI 1302
Product quantization BibRef

Cao, L.J.[Liu-Juan], Ji, R.R.[Rong-Rong], Liu, W.[Wei], Gao, Y.[Yue], Duan, L.Y.[Ling-Yu], Men, C.[Chaoguang],
Weakly supervised topic grouping of YouTube search results,
ICIP12(2885-2888).
IEEE DOI 1302
BibRef

Steiner, T.[Thomas], Lazzaro, M.[Marilena], Nucci, F.[Francesco], Croce, V.[Vincenzo], Sutton, L.[Lorenzo], Massari, A.[Alberto], Camurri, A.[Antonio], Spiller, S.[Sabine], Verroust-Blondet, A.[Anne], Joyeux, L.[Laurent],
One size does not fit all: multimodal search on mobile and desktop devices with the I-SEARCH search engine,
ICMR12(58).
DOI Link 1301
the I-SEARCH EU (FP7 ICT STREP) project whose objective is the development of a multimodal search engine for mobile and desktop devices BibRef

Lejsek, H.[Herwig], Jónsson, B.Ţ.[Björn Ţór], Amsaleg, L.[Laurent],
NV-Tree: nearest neighbors at the billion scale,
ICMR11(54).
DOI Link 1301
NV-Tree (Nearest Vector Tree). Find the approximate k-nearest neighbors in a few billion data points. BibRef

Trad, M.R.[Mohamed Riadh], Joly, A.[Alexis], Boujemaa, N.[Nozha],
Large scale visual-based event matching,
ICMR11(53).
DOI Link 1301
Event-centric indexing BibRef

Cai, Y.[Yang], Tong, W.[Wei], Yang, L.J.[Lin-Jun], Hauptmann, A.G.[Alexander G.],
Constrained keypoint quantization: towards better bag-of-words model for large-scale multimedia retrieval,
ICMR12(16).
DOI Link 1301
BibRef

von Wyl, M.[Marc], Mohamed, H.[Hisham], Bruno, E.[Eric], Marchand-Maillet, S.[Stephane],
A parallel cross-modal search engine over large-scale multimedia collections with interactive relevance feedback,
ICMR11(73).
DOI Link 1301
distributing storage and computing efforts BibRef

Veltkamp, R.C.[Remco C.], Giezeman, G.J.[Geert-Jan], Bast, H.[Hannah], Baumbach, T.[Thomas], Furuya, T.[Takahiko], Giesen, J.[Joachim], Godil, A.[Afzal], Lian, Z.[Zhouhui], Ohbuchi, R.[Ryutarou], Saleem, W.[Waqar],
SHREC'10 Track: Large Scale Retrieval,
EG3DOR10(63-69)
DOI Link 1301
BibRef

Avrithis, Y.S.[Yannis S.], Kalantidis, Y.[Yannis],
Approximate Gaussian Mixtures for Large Scale Vocabularies,
ECCV12(III: 15-28).
Springer DOI 1210
BibRef

Kang, H.W.[Hong-Wen], Hebert, M.[Martial], Efros, A.A.[Alexei A.], Kanade, T.[Takeo],
Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,
ECCV12(VI: 794-807).
Springer DOI 1210
BibRef

Srijan, K.[Kumar], Jawahar, C.V.,
Towards Exhaustive Pairwise Matching in Large Image Collections,
WebScale12(I: 219-228).
Springer DOI 1210
BibRef

Yuan, J.B.[Jiang-Bo], Gravier, G.[Guillaume], Campion, S.[Sébastien], Liu, X.W.[Xiu-Wen], Jégou, H.[Hervé],
Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing,
WebScale12(I: 271-280).
Springer DOI 1210
BibRef

Wieschollek, P., Wang, O., Sorkine-Hornung, A., Lensch, H.P.A.[Hendrik P.A.],
Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU,
CVPR16(2027-2035)
IEEE DOI 1612
BibRef

Schwarz, K.[Katharina], Häußler, T.[Tobias], Lensch, H.P.A.[Hendrik P.A.],
An Efficient Parallel Strategy for Matching Visual Self-similarities in Large Image Databases,
WebScale12(I: 281-290).
Springer DOI 1210
BibRef

Lou, Y.[Yin], Snavely, N.[Noah], Gehrke, J.[Johannes],
MatchMiner: Efficient Spanning Structure Mining in Large Image Collections,
ECCV12(II: 45-58).
Springer DOI 1210
BibRef

Bozas, K.[Konstantinos], Izquierdo, E.[Ebroul],
Large Scale Sketch Based Image Retrieval Using Patch Hashing,
ISVC12(I: 210-219).
Springer DOI 1209
BibRef

Cao, Y.[Yang], Wang, C.H.[Chang-Hu], Zhang, L.Q.[Li-Qing], Zhang, L.[Lei],
Edgel index for large-scale sketch-based image search,
CVPR11(761-768).
IEEE DOI 1106
BibRef

Kim, K.I.[Kwang In], Tompkin, J.[James], Theobald, M.[Martin], Kautz, J.[Jan], Theobalt, C.[Christian],
Match Graph Construction for Large Image Databases,
ECCV12(I: 272-285).
Springer DOI 1210
BibRef

Kosch, H.[Harald], Wölfl, A.[Andreas],
Large-Scale Similarity-Based Join Processing in Multimedia Databases,
MMMod12(418-428).
Springer DOI 1201
BibRef

Manger, D.[Daniel],
Large-Scale Tattoo Image Retrieval,
CRV12(454-459).
IEEE DOI 1207
BibRef

Deng, J.[Jia], Krause, J.[Jonathan], Berg, A.C.[Alexander C.], Fei-Fei, L.[Li],
Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition,
CVPR12(3450-3457).
IEEE DOI 1208
BibRef

Deng, J.[Jia], Berg, A.C.[Alexander C.], Fei-Fei, L.[Li],
Hierarchical semantic indexing for large scale image retrieval,
CVPR11(785-792).
IEEE DOI 1106
BibRef

Deng, J.[Jia], Berg, A.C.[Alexander C.], Li, K.[Kai], Fei-Fei, L.[Li],
What Does Classifying More Than 10,000 Image Categories Tell Us?,
ECCV10(V: 71-84).
Springer DOI 1009
BibRef

Deng, J.[Jia], Dong, W.[Wei], Socher, R.[Richard], Li, L.J.[Li-Jia], Li, K.[Kai], Fei-Fei, L.[Li],
ImageNet: A large-scale hierarchical image database,
CVPR09(248-255).
IEEE DOI 0906
BibRef

Miao, Y.J.[Yin-Jun], Wang, C.[Chao], Cui, P.[Peng], Sun, L.[Lifen], Tao, P.[Pin], Yang, S.Q.[Shi-Qiang],
HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset,
ICIP10(1041-1044).
IEEE DOI 1009
BibRef

Tsai, D.[David], Jing, Y.[Yushi], Liu, Y.[Yi], Rowley, H.A.[Henry A.], Ioffe, S.[Sergey], Rehg, J.M.[James M.],
Large-scale image annotation using visual synset,
ICCV11(611-618).
IEEE DOI 1201
Web images. Visually similar and semantically related images grouped together. BibRef

Suditu, N.[Nicolae], Fleuret, F.[Francois],
HEAT: Iterative relevance feedback with one million images,
ICCV11(2118-2125).
IEEE DOI 1201
how to scale. BibRef

Fieguth, P.W., Wan, R.[Riyin],
Fast Retrieval Methods for Images with Significant Variations,
ICIP00(Vol II: 522-525).
IEEE DOI 0008
10 million images of diamonds, etc. BibRef

Wang, X.J.[Xin-Jing], Zhang, L.[Lei], Liu, M.[Ming], Li, Y.[Yi], Ma, W.Y.[Wei-Ying],
ARISTA: Image search to annotation on billions of web photos,
CVPR10(2987-2994).
IEEE DOI 1006
BibRef

Douze, M.[Matthijs], Jégou, H.[Hervé], Sandhawalia, H.[Harsimrat], Amsaleg, L.[Laurent], Schmid, C.[Cordelia],
Evaluation of GIST descriptors for web-scale image search,
CIVR09(Article No 19).
DOI Link 0907

See also Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention. BibRef

Chua, T.S.[Tat-Seng], Tang, J.H.[Jin-Hui], Hong, R.[Richang], Li, H.J.[Hao-Jie], Luo, Z.P.[Zhi-Ping], Zheng, Y.[Yantao],
NUS-WIDE: a real-world web image database from National University of Singapore,
CIVR09(Article No 48).
DOI Link 0907
BibRef

Ghosh, S.[Sampreeti], Mitra, S.[Sushmita],
Incorporating Fuzziness to CLARANS,
PReMI09(122-127).
Springer DOI 0912
Clustering Large Applications based on RANdomized Search (CLARANS). How to handle large sets. BibRef

Li, Y.P.[Yun-Peng], Crandall, D.J.[David J.], Huttenlocher, D.P.[Daniel P.],
Landmark classification in large-scale image collections,
ICCV09(1957-1964).
IEEE DOI 0909
Recognize famous objects. BibRef

Pai, R.M.[Radhika M.], Ananthanarayana, V.S.,
Prefix-Suffix Trees: A Novel Scheme for Compact Representation of Large Datasets,
PReMI07(316-323).
Springer DOI 0712
BibRef

Liu, T.[Ting], Rosenberg, C.[Charles], Rowley, H.A.[Henry A.],
Clustering Billions of Images with Large Scale Nearest Neighbor Search,
WACV07(28-28).
IEEE DOI 0702
BibRef

Chang, S.F.[Shih-Fu],
Pattern Mining in Large-Scale Image and Video Sources,
CIVR04(1).
Springer DOI 0505
BibRef

Divakaran, A., Peker, K.A., Chang, S.F.[Shih-Fu], Radhakrishnan, R., Xie, L.X.[Le-Xing],
Video mining: pattern discovery versus pattern recognition,
ICIP04(IV: 2379-2382).
IEEE DOI 0505
BibRef

Jaimes, A., Benitez, A.B., Chang, S.F.,
Discovering Recurrent Visual Semantics in Consumer Photographs,
ICIP00(Vol III: 528-531).
IEEE DOI 0008
BibRef

Syeda-Mahmood, T.F., Raghavan, P., Megiddo, N.,
Interval hash tree: an efficient index structure for searching object queries in large image databases,
CBAIVL00(78-82). 0008
BibRef

Kompatsiaris, I., Triantafyllou, E., Strintzis, M.G.,
A World Wide Web region-based image search engine,
CIAP01(392-397).
IEEE DOI 0210
BibRef

Strobel, N., Li, C.S., and Castelli, V.,
MMAP: Modified Maximum a Posteriori Algorithm for Image Segmentation in Large Image/Video Databases,
ICIP97(I: 196-199).
IEEE DOI 9710
BibRef

deep cnn

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Large Scale Systems, Web-Scale System, Learning, Neural Nets .


Last update:Sep 19, 2021 at 21:11:01