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

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.

Google Goggles Web Search,
2009. Vendor, Image Query.
WWW Link. A phone app to search based on an image of the object. E.g., a book, artwork, location, landmark, etc. From the reviews, in some cases it works well, in others, less so.

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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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.
WWW Link. 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

Jing, X.Y.[Xiao-Yuan], Li, S.[Sheng], Zhang, D., Yang, J.[Jian], Yang, J.Y.[Jing-Yu],
Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition,
CirSysVideo(22), No. 10, October 2012, pp. 1497-1511.
IEEE DOI 1210
BibRef

Li, Y.N.[Yue Nan], Luo, H.[Hao],
Approximate Nearest Neighbor Based Feature Quantization Algorithm for Robust Hashing,
IEICE(E95-D), No. 12, December 2012, pp. 3109-3112.
WWW Link. 1212
BibRef

Li, Y.N.[Yue Nan],
Robust Content Fingerprinting Algorithm Based on Sparse Coding,
SPLetters(22), No. 9, September 2015, pp. 1254-1258.
IEEE DOI 1503
image coding 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

Lee, W.Y.[Wen-Yu], Hsieh, L.C.[Liang-Chi], Wu, G.L.[Guan-Long], Hsu, W.[Winston],
Graph-based semi-supervised learning with multi-modality propagation for large-scale image datasets,
JVCIR(24), No. 3, April 2013, pp. 295-302.
Elsevier DOI 1303
Image retrieval; MapReduce; Semi-supervised learning; Large-scale data; Multi-label; Image annotation; Landmark retrieval; Distributed computing 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

Li, Z.C.[Ze-Chao], Liu, J.[Jing], Xu, C.S.[Chang-Sheng], Lu, H.Q.[Han-Qing],
MLRank: Multi-correlation Learning to Rank for image annotation,
PR(46), No. 10, October 2013, pp. 2700-2710.
Elsevier DOI 1306
Image annotation; Learning to rank; Multi-correlation; Image-bias consistency; Tag-bias consistency BibRef

Li, Z.C.[Ze-Chao], Liu, J.[Jing], Tang, J., Lu, H.Q.[Han-Qing],
Robust Structured Subspace Learning for Data Representation,
PAMI(37), No. 10, October 2015, pp. 2085-2098.
IEEE DOI 1509
Algorithm design and analysis BibRef

Cheng, J.[Jian], Leng, C.[Cong], Li, P.[Peng], Wang, M.[Meng], Lu, H.Q.[Han-Qing],
Semi-supervised multi-graph hashing for scalable similarity search,
CVIU(124), No. 1, 2014, pp. 12-21.
Elsevier DOI 1406
Hashing BibRef

Yu, J.[Jun], Hong, R.[Richang], Wang, M.[Meng], You, J.[Jane],
Image clustering based on sparse patch alignment framework,
PR(47), No. 11, 2014, pp. 3512-3519.
Elsevier DOI 1407
Image clustering BibRef

Liu, J.[Jing], Li, Z.[Zechao], Tang, J.H.[Jin-Hui], Jiang, Y.[Yu], Lu, H.Q.[Han-Qing],
Personalized Geo-Specific Tag Recommendation for Photos on Social Websites,
MultMed(16), No. 3, April 2014, pp. 588-600.
IEEE DOI 1405
classification BibRef

Zhang, C.J.[Chun-Jie], Liu, J.[Jing], Liang, C.[Chao], Tang, J.H.[Jin-Hui], Lu, H.Q.[Han-Qing],
Beyond local image features: Scene calssification using supervised semantic representation,
ICIP12(3133-3136).
IEEE DOI 1302
BibRef

Yuan, Z.Q.[Zhao-Quan], Sang, J.[Jitao], Xu, C.S.[Chang-Sheng], Liu, Y.[Yan],
A Unified Framework of Latent Feature Learning in Social Media,
MultMed(16), No. 6, October 2014, pp. 1624-1635.
IEEE DOI 1410
image retrieval BibRef

Li, C.S.[Chang-Sheng], Liu, J.[Jing], Liu, Y.[Yan], Xu, C.S.[Chang-Sheng], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing],
Ordinal preserving projection: a novel dimensionality reduction method for image ranking,
ICMR12(17).
DOI Link 1301
BibRef

Xin, X.[Xin], Nagar, A.[Abhishek], Srivastava, G.[Gaurav], Li, Z.[Zhu], Fernandes, F.[Felix], Katsaggelos, A.K.[Aggelos K.],
Large Visual Repository Search with Hash Collision Design Optimization,
MultMedMag(20), No. 2, 2013, pp. 62-71.
IEEE DOI 1307
Augmented reality; hash-code collision; indexing; mobile search 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

Negrel, R.[Romain], Picard, D.[David], Gosselin, P.H.[Philippe-Henri],
Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors,
MultMedMag(20), No. 3, 2013, pp. 24-33.
IEEE DOI 1309
Internet BibRef

Negrel, R.[Romain], Picard, D.[David], Gosselin, P.H.[Philippe-Henri],
Dimensionality reduction of visual features using sparse projectors for content-based image retrieval,
ICIP14(2192-2196)
IEEE DOI 1502
BibRef
Earlier:
Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval,
ICPR14(738-743)
IEEE DOI 1412
Approximation methods. Convergence BibRef

Picard, D.[David],
Preserving local spatial information in image similarity using tensor aggregation of local features,
ICIP16(201-205)
IEEE DOI 1610
Convolutional codes BibRef

Gong, Y.C.[Yun-Chao], Lazebnik, S.[Svetlana], Gordo, A.[Albert], Perronnin, F.[Florent],
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval,
PAMI(35), No. 12, 2013, pp. 2916-2929.
IEEE DOI 1311
BibRef
Earlier: A1, A2, Only:
Iterative quantization: A procrustean approach to learning binary codes,
CVPR11(817-824).
IEEE DOI 1106
Binary codes. Efficient retrieval in large-scale image collections. Find rotation to zero-centered data. 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

Liu, X.L.[Xiang-Long], He, J.F.[Jun-Feng], Lang, B.[Bo],
Multiple feature kernel hashing for large-scale visual search,
PR(47), No. 2, 2014, pp. 748-757.
Elsevier DOI 1311
Locality-sensitive hashing BibRef

Liu, S.W.[Shao-Wei], Cui, P.[Peng], Luan, H.B.[Huan-Bo], Zhu, W.[Wenwu], Yang, S.Q.[Shi-Qiang], Tian, Q.[Qi],
Social-oriented visual image search,
CVIU(118), No. 1, 2014, pp. 30-39.
Elsevier DOI 1312
Social image search BibRef

Zhou, W.G.[Wen-Gang], Yang, M.[Ming], Li, H.Q.[Hou-Qiang], Wang, X.Y.[Xiao-Yu], Lin, Y.Q.[Yuan-Qing], Tian, Q.[Qi],
Towards Codebook-Free: Scalable Cascaded Hashing for Mobile Image Search,
MultMed(16), No. 3, April 2014, pp. 601-611.
IEEE DOI 1405
feature extraction BibRef

Zhou, W.G.[Wen-Gang], Yang, M.[Ming], Wang, X.Y.[Xiao-Yu], Li, H.Q.[Hou-Qiang], Lin, Y.Q.[Yuan-Qing], Tian, Q.[Qi],
Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval,
PAMI(38), No. 1, January 2016, pp. 159-171.
IEEE DOI 1601
Feature extraction BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhou, W.G.[Wen-Gang], Zhao, R.Z.[Rui-Zhen], Tian, Q.[Qi],
Contextual Hashing for Large-Scale Image Search,
IP(23), No. 4, April 2014, pp. 1606-1614.
IEEE DOI 1404
Internet BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhang, L.Y.[Li-Yan], Zhou, W.G.[Wen-Gang], Tian, Q.[Qi],
Cross-Indexing of Binary SIFT Codes for Large-Scale Image Search,
IP(23), No. 5, May 2014, pp. 2047-2057.
IEEE DOI 1405
binary codes BibRef

Xie, L.X.[Ling-Xi], Tian, Q.[Qi], Zhou, W.G.[Wen-Gang], Zhang, B.[Bo],
Heterogeneous Graph Propagation for Large-Scale Web Image Search,
IP(24), No. 11, November 2015, pp. 4287-4298.
IEEE DOI 1509
image retrieval See also Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb. See also Spatial Pooling of Heterogeneous Features for Image Classification. BibRef

Luo, Q.J.[Qing-Jun], Zhang, S.L.[Shi-Liang], Huang, T.J.[Tie-Jun], Gao, W.[Wen], Tian, Q.[Qi],
Hybrid-Indexing Multi-type Features for Large-Scale Image Search,
ACCV14(I: 446-460).
Springer DOI 1504
BibRef

Liu, Z.[Zhen], Li, H.Q.[Hou-Qiang], Zhou, W.G.[Wen-Gang], Hong, R., Tian, Q.[Qi],
Uniting Keypoints: Local Visual Information Fusion for Large-Scale Image Search,
MultMed(17), No. 4, April 2015, pp. 538-548.
IEEE DOI 1503
Feature extraction 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

Zhou, N., Fan, J.,
Jointly Learning Visually Correlated Dictionaries for Large-Scale Visual Recognition Applications,
PAMI(36), No. 4, April 2014, pp. 715-730.
IEEE DOI 1404
Clustering algorithms 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
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IEEE DOI 1408
document handling BibRef

Liu, Z.Q.[Zi-Qiong], Wang, S.J.[Sheng-Jin], Zheng, L.[Liang], Tian, Q.[Qi],
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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

Wang, H.[Han], Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
Video Annotation via Image Groups from the Web,
MultMed(16), No. 5, August 2014, pp. 1282-1291.
IEEE DOI 1410
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Annotating videos from the web images,
ICPR12(2801-2804).
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Wang, H.[Han], Song, H.[Hao], Wu, X.X.[Xin-Xiao], Jia, Y.D.[Yun-De],
Video Annotation by Incremental Learning from Grouped Heterogeneous Sources,
ACCV14(V: 493-507).
Springer DOI 1504
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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
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Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Hong, R., Lu, Y., Tian, Q.[Qi],
BSIFT: Toward Data-Independent Codebook for Large Scale Image Search,
IP(24), No. 3, March 2015, pp. 967-979.
IEEE DOI 1502
Feature extraction BibRef

Feng, S.[Songhe], Feng, Z.[Zheyun], Jin, R.[Rong],
Learning to Rank Image Tags With Limited Training Examples,
IP(24), No. 4, April 2015, pp. 1223-1234.
IEEE DOI 1503
image classification BibRef

Feng, Z.[Zheyun], Jin, R.[Rong], Jain, A.[Anil],
Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning,
ICCV13(1609-1616)
IEEE DOI 1403
Efficient BibRef

Chatfield, K.[Ken], Arandjelovic, R.[Relja], Parkhi, O.M.[Omkar M.], Zisserman, A.[Andrew],
On-the-fly learning for visual search of large-scale image and video datasets,
MultInfoRetr(4), No. 2, June 2015, pp. 75-93.
Springer DOI 1506
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Zisserman, A.[Andrew],
Towards on-the-fly Large Scale Video Search,
BMVC13(xx-yy).
DOI Link 1412
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Chatfield, K.[Ken], Zisserman, A.[Andrew],
VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval,
ACCV12(II:432-446).
Springer DOI 1304
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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

Mantziou, E.[Eleni], Papadopoulos, S.[Symeon], Kompatsiaris, Y.[Yiannis],
Learning to detect concepts with Approximate Laplacian Eigenmaps in large-scale and online settings,
MultInfoRetr(4), No. 2, June 2015, pp. 95-111.
Springer DOI 1506
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Tang, J., Li, Z., Wang, M., Zhao, R.,
Neighborhood Discriminant Hashing for Large-Scale Image Retrieval,
IP(24), No. 9, September 2015, pp. 2827-2840.
IEEE DOI 1506
Binary codes BibRef

Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui],
Weakly Supervised Deep Metric Learning for Community-Contributed Image Retrieval,
MultMed(17), No. 11, November 2015, pp. 1989-1999.
IEEE DOI 1511
Data structures 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

Shen, L.[Li], Sun, G.[Gang], Huang, Q.M.[Qing-Ming], Wang, S.H.[Shu-Hui], Lin, Z.C.[Zhou-Chen], Wu, E.[Enhua],
Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification,
IP(24), No. 10, October 2015, pp. 3109-3123.
IEEE DOI 1507
computational complexity BibRef

Tung, F.[Frederick], Little, J.J.[James J.],
Improving scene attribute recognition using web-scale object detectors,
CVIU(138), No. 1, 2015, pp. 86-91.
Elsevier DOI 1506
Affordances. By parts section. BibRef

Martinez, J.[Julieta], Clement, J.[Joris], Hoos, H.H.[Holger H.], Little, J.J.[James J.],
Revisiting Additive Quantization,
ECCV16(II: 137-153).
Springer DOI 1611
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Tung, F.[Frederick], Little, J.J.[James J.],
SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions,
ACCV16(I: 338-352).
Springer DOI 1704
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Tung, F.[Frederick], Martinez, J.[Julieta], Hoos, H.H.[Holger H.], Little, J.J.[James J.],
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications,
WACV15(566-571)
IEEE DOI 1503
Adaptation models BibRef

Lv, Y., Ng, W.W.Y., Zeng, Z., Yeung, D.S., Chan, P.P.K.,
Asymmetric Cyclical Hashing for Large Scale Image Retrieval,
MultMed(17), No. 8, August 2015, pp. 1225-1235.
IEEE DOI 1506
Euclidean distance 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

Cheung, M.[Ming], She, J., Jie, Z.M.[Zhan-Ming],
Connection Discovery Using Big Data of User-Shared Images in Social Media,
MultMed(17), No. 9, September 2015, pp. 1417-1428.
IEEE DOI 1509
Big Data BibRef

Gallas, A., Barhoumi, W., Kacem, N., Zagrouba, E.,
Locality-sensitive hashing for region-based large-scale image indexing,
IET-IPR(9), No. 9, 2015, pp. 804-810.
DOI Link 1509
file organisation BibRef

Ordonez, V.[Vicente], Liu, W.[Wei], Deng, J.[Jia], Choi, Y.[Yejin], 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

Ristin, M.[Marko], Guillaumin, M.[Matthieu], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
Incremental Learning of Random Forests for Large-Scale Image Classification,
PAMI(38), No. 3, March 2016, pp. 490-503.
IEEE DOI 1602
BibRef
Earlier:
Incremental Learning of NCM Forests for Large-Scale Image Classification,
CVPR14(3654-3661)
IEEE DOI 1409
Accuracy. Incremental learning BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Learning Short Binary Codes for Large-scale Image Retrieval,
IP(26), No. 3, March 2017, pp. 1289-1299.
IEEE DOI 1703
BibRef
Earlier:
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes,
ICCV15(2821-2829)
IEEE DOI 1602
Binary codes. Lower dimensional feature representation. See also Kernelized Multiview Projection for Robust Action Recognition. BibRef

Guo, Y., Ding, G., Liu, L., Han, J., Shao, L.,
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval,
IP(26), No. 3, March 2017, pp. 1344-1354.
IEEE DOI 1703
image representation BibRef

Guo, Y., Ding, G., Han, J., Gao, Y.,
Zero-Shot Learning With Transferred Samples,
IP(26), No. 7, July 2017, pp. 3277-3290.
IEEE DOI 1706
Labeling, Robustness, Standards, Supervised learning, Support vector machines, Target recognition, Training, Zero-shot learning, experiment, inductive learning, robust support vector machine (SVM), transductive learning, transfer learning. BibRef

Liu, L.[Li], Lin, Z.J.[Zi-Jia], Shao, L.[Ling], Shen, F.M.[Fu-Min], Ding, G.G.[Gui-Guang], Han, J.G.[Jun-Gong],
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval,
IP(26), No. 1, January 2017, pp. 107-118.
IEEE DOI 1612
Internet BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Multiview Alignment Hashing for Efficient Image Search,
IP(24), No. 3, March 2015, pp. 956-966.
IEEE DOI 1502
Binary codes See also Structure-Preserving Binary Representations for RGB-D Action Recognition. BibRef

Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Unsupervised Local Feature Hashing for Image Similarity Search,
Cyber(46), No. 11, November 2016, pp. 2548-2558.
IEEE DOI 1609
feature extraction See also Structure-Preserving Binary Representations for RGB-D Action Recognition. BibRef

Cai, Z.Y.[Zi-Yun], Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Latent Structure Preserving Hashing,
BMVC15(xx-yy).
DOI Link 1601
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Liu, L.[Li], Yu, M.Y.[Meng-Yang], Shao, L.[Ling],
Latent Structure Preserving Hashing,
IJCV(122), No. 3, May 2017, pp. 439-457.
Springer DOI 1704
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Guo, H.Y.[Hai-Yun], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing],
Multiple deep features learning for object retrieval in surveillance videos,
IET-CV(10), No. 4, 2016, pp. 268-271.
DOI Link 1608
BibRef
Earlier:
Learning deep compact descriptor with bagging auto-encoders for object retrieval,
ICIP15(3175-3179)
IEEE DOI 1512
binary codes. Object retrieval; auto-encoder; bagging 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
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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

Wang, D., Gao, X., Wang, X., He, L., Yuan, B.,
Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval,
IP(25), No. 10, October 2016, pp. 4540-4554.
IEEE DOI 1610
Internet 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

Chen, Z.X.[Zhi-Xiang], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Nonlinear Discrete Hashing,
MultMed(19), No. 1, January 2017, pp. 123-135.
IEEE DOI 1612
Binary codes Multilayer search. BibRef

Mai, T.D.[Tien-Dung], Ngo, T.D.[Thanh Duc], Le, D.D.[Duy-Dinh], Duong, D.A.[Duc Anh], Hoang, K.[Kiem], Satoh, S.[Shin'ichi],
Efficient large-scale multi-class image classification by learning balanced trees,
CVIU(156), No. 1, 2017, pp. 151-161.
Elsevier DOI 1702
BibRef
Earlier:
Using node relationships for hierarchical classification,
ICIP16(514-518)
IEEE DOI 1610
BibRef
Earlier:
Learning Balanced Trees for Large Scale Image Classification,
CIAP15(II:3-13).
Springer DOI 1511
BibRef
Earlier: A3, A1, A6, A2, A4, Only:
Efficient Large Scale Image Classification via Prediction Score Decomposition,
ECCV16(VI: 770-785).
Springer DOI 1611
Large-scale image classification BibRef

Karpathy, A.[Andrej], Fei-Fei, L.[Li],
Deep Visual-Semantic Alignments for Generating Image Descriptions,
PAMI(39), No. 4, April 2017, pp. 664-676.
IEEE DOI 1703
BibRef
Earlier: CVPR15(3128-3137)
IEEE DOI 1510
Analytical models BibRef

Karpathy, A.[Andrej], Toderici, G.[George], Shetty, S.[Sanketh], Leung, T.[Thomas], Sukthankar, R.[Rahul], Fei-Fei, L.[Li],
Large-Scale Video Classification with Convolutional Neural Networks,
CVPR14(1725-1732)
IEEE DOI 1409
action BibRef

Xu, X.[Xing], Shen, F.M.[Fu-Min], Yang, Y.[Yang], Shen, H.T.[Heng Tao], Li, X.L.[Xue-Long],
Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval,
IP(26), No. 5, May 2017, pp. 2494-2507.
IEEE DOI 1704
Binary codes BibRef

Zhang, C., Zheng, W.S.,
Semi-Supervised Multi-View Discrete Hashing for Fast Image Search,
IP(26), No. 6, June 2017, pp. 2604-2617.
IEEE DOI 1705
cryptography, image coding, learning (artificial intelligence), Hamming space, compact coding, composite discrete hash learning modeling, fast image search, learning hashing codes, multi-view hash models, relaxation, semisupervised multiview discrete hashing, unsupervised multiview hash models, Binary codes, Data models, Labeling, Linear programming, Machine learning, Matrix decomposition, Semantics, Hash function learning, fast search, multi-view modeling, semi-supervised, methods BibRef

Liong, V.E., Lu, J., Tan, Y.P., Zhou, J.,
Deep Video Hashing,
MultMed(19), No. 6, June 2017, pp. 1209-1219.
IEEE DOI 1705
Binary codes, Computer architecture, Convolutional codes, Feature extraction, Machine learning, Quantization (signal), Visualization, Deep learning, scalable video search, video hashing BibRef

Zhang, L.[Liang], Ma, B.P.[Bing-Peng], Li, G.R.[Guo-Rong], Huang, Q.M.[Qing-Ming], Tian, Q.[Qi],
Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning,
MultMed(19), No. 6, June 2017, pp. 1220-1233.
IEEE DOI 1705
Correlation, Data models, Feature extraction, Manifolds, Measurement, Multimedia communication, Semantics, Cross-modal retrieval, documents and images, multimedia BibRef

Ma, D., Liang, J., He, R., Kong, X.,
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data,
MultMedMag(24), No. 2, April 2017, pp. 56-65.
IEEE DOI 1705
Binary codes, Linear programming, Mathematical model, Multimedia communication, Optimization, Quantization (signal), Semantics, big data, cross-modal hashing, data analysis, discrete binary codes, graphics, multimedia, multimedia, retrieval BibRef

Wei, P.X.[Peng-Xu], Qin, F.[Fei], Wan, F.[Fang], Zhu, Y.[Yi], Jiao, J.B.[Jian-Bin], Ye, Q.X.[Qi-Xiang],
Correlated Topic Vector for Scene Classification,
IP(26), No. 7, July 2017, pp. 3221-3234.
IEEE DOI 1706
Correlation, Feature extraction, Image coding, Image recognition, Kernel, Semantics, Visualization, Correlated topic vector, Fisher kernel, generative feature learning, semantic correlation. 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
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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

Li, K.[Kai], Qi, G.J.[Guo-Jun], Ye, J.[Jun], Hua, K.A.[Kien A.],
Linear Subspace Ranking Hashing for Cross-Modal Retrieval,
PAMI(39), No. 9, September 2017, pp. 1825-1838.
IEEE DOI 1708
Correlation, Hamming distance, Indexing, Multimedia communication, Probabilistic logic, Semantics, Sparse matrices, Cross-modal hashing, image and text retrieval, large-scale similarity search, max-order-statistics, rank correlation measures, ranking, subspace, learning 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

Qu, Y., Lin, L., Shen, F., Lu, C., Wu, Y., Xie, Y., Tao, D.,
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification,
IP(26), No. 9, September 2017, pp. 4331-4346.
IEEE DOI 1708
image classification, learning (artificial intelligence), Caltech 256 benchmark dataset, ILSVRC2010 benchmark dataset, hierarchical spectral clustering, hierarchical visual data structure, joint hierarchical category structure learning, large-scale image classification, large-scale multiclass classification efficiency improvement, large-scale multiclass classification performance improvement, visual tree, Clustering algorithms, Feature extraction, Image representation, Measurement, Prediction algorithms, Semantics, Visualization, Hierarchical learning, N-best path, deep features, large-scale image classification, 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

Liang, T.M.[Tian-Ming], Xu, X.Z.[Xin-Zheng], Xiao, P.C.[Peng-Cheng],
A new image classification method based on modified condensed nearest neighbor and convolutional neural networks,
PRL(94), No. 1, 2017, pp. 105-111.
Elsevier DOI 1708
Large-scale, image, classification 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

Zhuang, N., Ye, J., Hua, K.A.,
DLSTM approach to video modeling with hashing for large-scale video retrieval,
ICPR16(3222-3227)
IEEE DOI 1705
LSTM: long short-term memory Neural Network. Computational modeling, Data models, Feature extraction, Quantization (signal), Semantics, Speech recognition, Training BibRef

Wang, X.F.[Xiao-Fang], Shi, Y.[Yi], Kitani, K.M.[Kris M.],
Deep Supervised Hashing with Triplet Labels,
ACCV16(I: 70-84).
Springer DOI 1704
BibRef

Liu, Y.Z.[Yan-Zhen], Bai, X.[Xiao], Yan, C.[Cheng], Wang, J.[Jing], Zhou, J.[Jun],
Hashing with Non-Linear Manifold Learning,
DICTA16(1-8)
IEEE DOI 1701
Binary codes BibRef

Xie, L.[Liang], Zhu, L.[Lei], Cheng, Z.Y.[Zhi-Yong],
Multi-Task Multi-modal Semantic Hashing for Web Image Retrieval with Limited Supervision,
MMMod17(I: 465-477).
Springer DOI 1701
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Yang, G.Q.[Guan-Qun], Xu, X.S.[Xin-Shun], Guo, S.Q.[Shan-Qing], Wang, X.L.[Xiao-Lin],
M3LH: Multi-modal Multi-label Hashing for Large Scale Data Search,
MMMod17(I: 201-213).
Springer DOI 1701
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

Ong, E.J.[Eng-Jon], Bober, M.[Miroslaw],
Improved Hamming Distance Search Using Variable Length Hashing,
CVPR16(2000-2008)
IEEE DOI 1612
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Cevikalp, H.[Hakan], Elmas, M.[Merve], Ozkan, S.[Savas],
Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines,
WebScale16(I: 621-637).
Springer DOI 1611
binary hierarchical trees. 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

Kalantidis, Y.[Yannis], Kennedy, L.[Lyndon], Nguyen, H.[Huy], Mellina, C.[Clayton], Shamma, D.A.[David A.],
LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing,
WebScale16(I: 702-718).
Springer DOI 1611
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Ahmed, K.[Karim], Baig, M.H.[Mohammad Haris], Torresani, L.[Lorenzo],
Network of Experts for Large-Scale Image Categorization,
ECCV16(VII: 516-532).
Springer DOI 1611
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Weng, Z.Y.[Zhen-Yu], Yao, W.B.[Wen-Bin], Sun, Z.Q.[Zi-Qiang], Zhu, Y.S.[Yue-Sheng],
Asymmetric distance for spherical hashing,
ICIP16(206-210)
IEEE DOI 1610
Binary codes BibRef

Li, Y.Q.[Yun-Qiang], Zha, Y.F.[Yu-Fei], Li, H.Y.[Huan-Yu], Zhang, S.J.[Sheng-Jie], Tao, K.[Ku], Yuan, Y.[Yang],
Learning weighted hashing on local structured data,
ICIP16(211-215)
IEEE DOI 1610
Binary codes BibRef

Wang, Z.[Zheng], Liang, T.[Ti],
Shapelearner: Towards Shape-based Visual Knowledge Harvesting,
ISPRS16(B3: 789-796).
DOI Link 1610
BibRef

Gholami, B., Hajisami, A.,
Kernel auto-encoder for semi-supervised hashing,
WACV16(1-8)
IEEE DOI 1606
Binary codes 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

Mukherjee, L.[Lopamudra], Ravi, S.N.[Sathya N.], Ithapu, V.K.[Vamsi K.], Holmes, T.[Tyler], Singh, V.[Vikas],
An NMF Perspective on Binary Hashing,
ICCV15(4184-4192)
IEEE DOI 1602
Benchmark testing BibRef

Fu, J.L.[Jian-Long], Wu, Y.[Yue], Mei, T.[Tao], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing], Rui, Y.[Yong],
Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging,
ICCV15(1985-1993)
IEEE DOI 1602
Machine learning. Tagging web images. BibRef

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

Matsui, Y.[Yusuke], Yamasaki, T.[Toshihiko], Aizawa, K.[Kiyoharu],
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables,
ICCV15(1940-1948)
IEEE DOI 1602
Artificial neural networks 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

Xia, Y.[Yan], Cao, X.D.[Xu-Dong], Wen, F.[Fang], Hua, G.[Gang], Sun, J.[Jian],
Learning Discriminative Reconstructions for Unsupervised Outlier Removal,
ICCV15(1511-1519)
IEEE DOI 1602
Outlier images from collection. BibRef

Ding, K.[Kun], Huo, C.L.[Chun-Lei], Fan, B.[Bin], Pan, C.H.[Chun-Hong],
kNN Hashing with Factorized Neighborhood Representation,
ICCV15(1098-1106)
IEEE DOI 1602
Binary codes BibRef

Avrithis, Y.S.[Yannis S.], Kalantidis, Y.[Yannis], Anagnostopoulos, E., Emiris, I.Z.,
Web-Scale Image Clustering Revisited,
ICCV15(1502-1510)
IEEE DOI 1602
Artificial neural networks 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.[Weiwen], Chen, D.[Danni],
Big data classification based on multi-view method,
ICWAPR15(165-170)
IEEE DOI 1511
Big Data BibRef

Zeng, Z.Q.[Zi-Qian], Wu, Z.[Zimevg], Ng, W.W.Y.,
Projection selection hashing,
ICWAPR15(185-191)
IEEE DOI 1511
Fourier analysis 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
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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

Fang, C.[Chen], Jin, H.L.[Hai-Lin], Yang, J.C.[Jian-Chao], Lin, Z.[Zhe],
Collaborative feature learning from social media,
CVPR15(577-585)
IEEE DOI 1510
To avoid extensive ground truth extraction. BibRef

Zhang, X.F.[Xiao-Fan], Su, H.[Hai], Yang, L.[Lin], Zhang, S.T.[Shao-Ting],
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval,
CVPR15(5361-5368)
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

Jiang, K.[Ke], Que, Q.[Qichao], Kulis, B.[Brian],
Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval,
CVPR15(4933-4941)
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

Fuentes-Pineda, G.[Gibran], Meza-Ruíz, I.V.[Ivan Vladimir],
Sampled Weighted Min-Hashing for Large-Scale Topic Mining,
MCPR15(203-213).
Springer DOI 1506
BibRef

Wang, L.Q.[Lei-Quan], Zhao, Z.C.[Zhi-Cheng], Su, F.[Fei],
Tag-based social image search with hyperedges correlation,
VCIP14(330-333)
IEEE DOI 1504
feature extraction 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

Bondugula, S.[Sravanthi], Davis, L.S.[Larry S.],
Hierarchical Spherical Hashing for Compressing High Dimensional Vectors,
WACV15(558-565)
IEEE DOI 1503
Art; Binary codes; Convergence; Force; Training; Training data; For retrieval operations. BibRef

Ionescu, B.[Bogdan], Popescu, A.[Adrian], Muller, H.[Henning], Menendez, M.[Maria], Radu, A.L.[Anca-Livia],
Benchmarking result diversification in social image retrieval,
ICIP14(3072-3076)
IEEE DOI 1502
Benchmark testing 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

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

Ginsca, A.L.[Alexandru Lucian], Popescu, A.[Adrian], Borgne, H.L.[Hervé Le], Ballas, N.[Nicolas], Vo, P.[Phong], Kanellos, I.[Ioannis],
Large-Scale Image Mining with Flickr Groups,
MMMod15(I: 318-334).
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

Luo, J.W.[Jian-Wei], Jiang, Z.G.[Zhi-Guo],
Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval,
ICPR14(279-284)
IEEE DOI 1412
Binary codes BibRef

Feng, S.Y.[Shao-Yong], Tian, X.[Xing], Ng, W.W.Y.[Wing W.Y.],
Re-ranking with two-level hashing,
ICWAPR14(98-103)
IEEE DOI 1412
Artificial neural networks BibRef

Ushiku, Y.[Yoshitaka], Hidaka, M.[Masatoshi], Harada, T.[Tatsuya],
Three Guidelines of Online Learning for Large-Scale Visual Recognition,
CVPR14(3574-3581)
IEEE DOI 1409
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

Wang, Q.F.[Qi-Fan], Si, L.[Luo], Zhang, D.[Dan],
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval,
ECCV14(III: 378-392).
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

Movshovitz-Attias, Y.[Yair], Kanade, T.[Takeo], Sheikh, Y.[Yaser],
How Useful Is Photo-Realistic Rendering for Visual Learning?,
DeepLearn16(III: 202-217).
Springer DOI 1611
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

Chen, X.[Xinlei], Shrivastava, A.[Abhinav], Gupta, A.[Abhinav],
Enriching Visual Knowledge Bases via Object Discovery and Segmentation,
CVPR14(2035-2042)
IEEE DOI 1409
BibRef
Earlier:
NEIL: Extracting Visual Knowledge from Web Data,
ICCV13(1409-1416)
IEEE DOI 1403
Never Ending Image Learner. Runs on web, collecting visual features from web images. See also Building Part-Based Object Detectors via 3D Geometry. 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,
VSM15(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

Xia, T.[Tian], Tang, Y.Y., Wei, Y.[Yantao], Li, H.[Hong], Li, L.Q.[Luo-Qing],
Object categorization based on hierarchical learning,
ICPR12(1419-1422).
WWW Link. 1302
local coding, maximum pooling. 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

Srinivasan, R.[Ramya], Roy-Chowdhury, A.K.[Amit K.],
Video classification based on social attitudes,
ICIP12(2877-2880).
IEEE DOI 1302
BibRef

Qian, X.M.[Xue-Ming], Hua, X.S.[Xian-Sheng], Hou, X.S.[Xing-Song],
Tag filtering based on similar compatible principle,
ICIP12(2349-2352).
IEEE DOI 1302
social media tags. 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

Zhang, L.[Lei], Ma, J.[Jun], Cui, C.[Chaoran], Li, P.[Piji],
Active learning through notes data in Flickr: an effortless training data acquisition approach for object localization,
ICMR11(46).
DOI Link 1301
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

Younessian, E.[Ehsan], Mitamura, T.[Teruko], Hauptmann, A.G.[Alexander G.],
Multimodal knowledge-based analysis in multimedia event detection,
ICMR12(51).
DOI Link 1301
Multimedia Event Detection (MED) for retrieval task BibRef

Trad, M.R.[Mohamed Riadh], Joly, A.[Alexis], Boujemaa, N.[Nozha],
Distributed KNN-graph approximation via hashing,
ICMR12(43).
DOI Link 1301
K-Nearest Neighbor Graph (K-NNG) of large and high dimensional datasets BibRef

Liu, X.L.[Xiang-Long], Mu, Y.D.[Ya-Dong], Lang, B.[Bo], Chang, S.F.[Shih-Fu],
Compact hashing for mixed image-keyword query over multi-label images,
ICMR12(18).
DOI Link 1301
locality-sensitive hashing (LSH) 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
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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

Cao, S.[Song], Snavely, N.[Noah],
Learning to Match Images in Large-Scale Collections,
WebScale12(I: 259-270).
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
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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
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Collins, B.[Brendan], Deng, J.[Jia], Li, K.[Kai], Fei-Fei, L.[Li],
Towards Scalable Dataset Construction: An Active Learning Approach,
ECCV08(I: 86-98).
Springer DOI 0810
Separate relevant images from noise (e.g. internet search) 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
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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
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Yang, H.[Heng], Wang, Q.[Qing], He, Z.C.[Zhou-Can],
Indexing Large Visual Vocabulary by Randomized Dimensions Hashing for High Quantization Accuracy: Improving the Object Retrieval Quality,
CAIP09(783-790).
Springer DOI 0909
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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
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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
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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
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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
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Chang, S.F.[Shih-Fu],
Pattern Mining in Large-Scale Image and Video Sources,
CIVR04(1).
Springer DOI 0505
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He, J.F.[Jun-Feng], Chang, S.F.[Shih-Fu], Radhakrishnan, R.[Regunathan], Bauer, C.[Claus],
Compact hashing with joint optimization of search accuracy and time,
CVPR11(753-760).
IEEE DOI 1106
Finding approximate nearest neighborhoods. Large scale search. 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
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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
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Kompatsiaris, I., Triantafyllou, E., Strintzis, M.G.,
A World Wide Web region-based image search engine,
CIAP01(392-397).
WWW Link. 0210
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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

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
System Issues, Data Structures .


Last update:Aug 9, 2017 at 18:37:22