19.4.3.2.2 Internet Label Information

Chapter Contents (Back)
Image Database. See also Social Media Search, Large Scale Systems, Web-Scale System.

Su, H.H., Chen, T.W., Kao, C.C., Hsu, W.H., Chien, S.Y.,
Preference-Aware View Recommendation System for Scenic Photos Based on Bag-of-Aesthetics-Preserving Features,
MultMed(14), No. 3, 2012, pp. 833-843.
IEEE DOI 1202
BibRef

Chen, L., Xu, D., Tsang, I.W., Luo, J.,
Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement,
MultMed(14), No. 4, 2012, pp. 1057-1067.
IEEE DOI 1208
BibRef

Chen, L., Xu, D., Tsang, I.W., Li, X.,
Spectral Embedded Hashing for Scalable Image Retrieval,
Cyber(44), No. 7, July 2014, pp. 1180-1190.
IEEE DOI 1407
Binary codes BibRef

Jiao, B., Yang, L., Xu, J., Tian, Q., Wu, F.,
Visually Summarizing Web Pages Through Internal and External Images,
MultMed(14), No. 6, 2012, pp. 1673-1683.
IEEE DOI 1212
BibRef

Sawant, N., Wang, J.Z., Li, J.,
Enhancing Training Collections for Image Annotation: An Instance-Weighted Mixture Modeling Approach,
IP(22), No. 9, 2013, pp. 3562-3577.
IEEE DOI 1309
ARTEMIS. Enhance the use of tagged web images as training data. BibRef

Zhou, N.[Ning], Fan, J.P.[Jian-Ping],
Automatic image-text alignment for large-scale web image indexing and retrieval,
PR(48), No. 1, 2015, pp. 205-219.
Elsevier DOI 1410
Automatic image-text alignment BibRef

Tian, J., Huang, Y., Guo, Z., Qi, X., Chen, Z., Huang, T.,
A Multi-Modal Topic Model for Image Annotation Using Text Analysis,
SPLetters(22), No. 7, July 2015, pp. 886-890.
IEEE DOI 1412
Computational modeling BibRef

Rodriguez-Vaamonde, S., Torresani, L., Fitzgibbon, A.W.,
What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images,
PAMI(37), No. 6, June 2015, pp. 1274-1285.
IEEE DOI 1506
Accuracy. Not web page text helps image search, but image helps web page search. BibRef

Tirkaz, C.[Caglar], Eisenstein, J.[Jacob], Sezgin, T.M.[T. Metin], Yanikoglu, B.A.[Berrin A.],
Identifying visual attributes for object recognition from text and taxonomy,
CVIU(137), No. 1, 2015, pp. 12-23.
Elsevier DOI 1506
Object recognition BibRef

Lu, Y.J., Yang, L., Yang, K., Rui, Y.,
Mining Latent Attributes From Click-Through Logs for Image Recognition,
MultMed(17), No. 8, August 2015, pp. 1213-1224.
IEEE DOI 1506
Animals BibRef

Fu, J., Wang, J., Rui, Y., Wang, X., Mei, T., Lu, H.,
Image Tag Refinement With View-Dependent Concept Representations,
CirSysVideo(25), No. 8, August 2015, pp. 1409-1422.
IEEE DOI 1508
Kernel BibRef

Belongie, S.[Serge], Perona, P.[Pietro],
Visipedia circa 2015,
PRL(72), No. 1, 2016, pp. 15-24.
Elsevier DOI 1604
Visipedia is a network of people and machines designed to harvest and organize visual information and make it accessible to anyone who has a visual query. BibRef

Niu, L.[Li], Li, W.[Wen], Xu, D.[Dong],
Exploiting Privileged Information from Web Data for Action and Event Recognition,
IJCV(118), No. 2, June 2016, pp. 130-150.
Springer DOI 1606
BibRef
Earlier: A2, A1, A3:
Exploiting Privileged Information from Web Data for Image Categorization,
ECCV14(V: 437-452).
Springer DOI 1408
BibRef

Sejal, D., Rashmi, V., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.,
Image recommendation based on keyword relevance using absorbing Markov chain and image features,
MultInfoRetr(5), No. 3, September 2016, pp. 185-199.
Springer DOI 1608
BibRef

Kleiman, Y.[Yanir], Goldberg, G.[George], Amsterdamer, Y.[Yael], Cohen-Or, D.[Daniel],
Toward semantic image similarity from crowdsourced clustering,
VC(32), No. 6-8, June 2016, pp. 1045-1055.
WWW Link. 1608
BibRef

Martinho-Corbishley, D., Nixon, M.S., Carter, J.N.,
Analysing comparative soft biometrics from crowdsourced annotations,
IET-Bio(5), No. 4, 2016, pp. 276-283.
DOI Link 1612
BibRef
And:
Retrieving relative soft biometrics for semantic identification,
ICPR16(3067-3072)
IEEE DOI 1705
Biometrics (access control), Cameras, Machine learning, Neural networks, Semantics, Surveillance, Training BibRef

Maharjan, S., Zhang, Y., Gjessing, S.,
Optimal Incentive Design for Cloud-Enabled Multimedia Crowdsourcing,
MultMed(18), No. 12, December 2016, pp. 2470-2481.
IEEE DOI 1612
Cloud computing BibRef

Kovashka, A.[Adriana], Russakovsky, O.[Olga], Fei-Fei, L.[Li], Grauman, K.[Kristen],
Crowdsourcing in Computer Vision,
FTCGV(10), No. 3, 2016, pp. 177-243.
DOI Link 1612
Crowdsourcing. BibRef

Yan, Y.[Yan], Nie, F.P.[Fei-Ping], Li, W.[Wen], Gao, C.Q.[Chen-Qiang], Yang, Y.[Yi], Xu, D.[Dong],
Image Classification by Cross-Media Active Learning With Privileged Information,
MultMed(18), No. 12, December 2016, pp. 2494-2502.
IEEE DOI 1612
Data models. Transfer to reduce effort on labels for training. BibRef


Zhuang, B.[Bohan], Liu, L.Q.[Ling-Qiao], Li, Y.[Yao], Shen, C.H.[Chun-Hua], Reid, I.D.[Ian D.],
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data,
CVPR17(2915-2924)
IEEE DOI 1711
Crowdsource. Convolution, Feature extraction, Machine learning, Noise measurement, Robustness, Training, Visualization BibRef

Gomez, L.[Lluis], Patel, Y.[Yash], Rusińol, M.[Marçal], Karatzas, D.[Dimosthenis], Jawahar, C.V.,
Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,
CVPR17(2017-2026)
IEEE DOI 1711
Correlation, Encyclopedias, Semantics, Training, Visualization. Using the text associated with images. BibRef

Eskevich, M.[Maria], Larson, M.[Martha], Aly, R.[Robin], Sabetghadam, S.[Serwah], Jones, G.J.F.[Gareth J. F.], Ordelman, R.[Roeland], Huet, B.[Benoit],
Multimodal Video-to-Video Linking: Turning to the Crowd for Insight and Evaluation,
MMMod17(II: 280-292).
Springer DOI 1701
BibRef

Bois, R.[Rémi], Vukotic, V.[Vedran], Simon, A.R.[Anca-Roxana], Sicre, R.[Ronan], Raymond, C.[Christian], Sébillot, P.[Pascale], Gravier, G.[Guillaume],
Exploiting Multimodality in Video Hyperlinking to Improve Target Diversity,
MMMod17(II: 185-197).
Springer DOI 1701
BibRef

Sharmanska, V., Hernandez-Lobato, D., Hernandez-Lobato, J.M., Quadrianto, N.,
Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations,
CVPR16(2194-2202)
IEEE DOI 1612
BibRef

Izadinia, H., Sadeghi, F., Divvala, S.K., Hajishirzi, H., Choi, Y., Farhadi, A.,
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing,
ICCV15(10-18)
IEEE DOI 1602
Associations between textual phrases and their corresponding segmentations. BibRef

Hou, Y.Q.[Yu-Qing],
Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors,
ISVC15(I: 71-81).
Springer DOI 1601
incomplete and inaccurate tags from users. BibRef

Yao, Y.Z.[Ya-Zhou], Zhang, J.[Jian], Hua, X.S.[Xian-Sheng], Shen, F.[Fumin], Tang, Z.M.[Zhen-Min],
Extracting Visual Knowledge from the Internet: Making Sense of Image Data,
MMMod16(I: 862-873).
Springer DOI 1601
using internet labelled data. BibRef

Nicholson, B.[Bryce], Sheng, V.S.[Victor S.], Zhang, J.[Jing],
Noise correction of image labeling in crowdsourcing,
ICIP15(1458-1462)
IEEE DOI 1512
BibRef

Jas, M.[Mainak], Parikh, D.[Devi],
Image specificity,
CVPR15(2727-2736)
IEEE DOI 1510
How consistent are descriptions of the image. BibRef

Johns, E.[Edward], Aodha, O.M.[Oisin Mac], Brostow, G.J.[Gabriel J.],
Becoming the expert: Interactive multi-class machine teaching,
CVPR15(2616-2624)
IEEE DOI 1510
Teaching people to recognize a class. BibRef

Russakovsky, O.[Olga], Li, L.J.[Li-Jia], Fei-Fei, L.[Li],
Best of both worlds: Human-machine collaboration for object annotation,
CVPR15(2121-2131)
IEEE DOI 1510
BibRef

Abdulhak, S.A.[Sami Abduljalil], Riviera, W.[Walter], Zeni, N.[Nicola], Cristani, M.[Matteo], Ferrario, R.[Roberta], Cristani, M.[Marco],
Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags,
CVONT14(309-322).
Springer DOI 1504
BibRef

He, Y.H.[Yong-Hao], Wang, J.[Jian], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
Image annotation via learning the image-label interrelations,
ICIP14(3102-3106)
IEEE DOI 1502
Benchmark testing. Propogate labels through similar images. BibRef

Jhuo, I.H.[I-Hong], Weng, L.[Li],
Image auto-annotation by exploiting web information,
ICIP14(3052-3056)
IEEE DOI 1502
Bipartite graph BibRef

Safadi, B.[Bahjat], Sahuguet, M.[Mathilde], Huet, B.[Benoit],
Linking text and visual concepts semantically for cross modal multimedia search,
ICIP14(3077-3081)
IEEE DOI 1502
Detectors BibRef

Xue, J.[Jiao], Du, Y.[Youtian], Shui, H.[Hanbing],
Semantic Correlation Mining between Images and Texts with Global Semantics and Local Mapping,
MMMod15(II: 427-435).
Springer DOI 1501
BibRef

Verma, Y.[Yashaswi], Jawahar, C.V.,
Im2Text and Text2Im: Associating Images and Texts for Cross-Modal Retrieval,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Kong, C.[Chen], Lin, D.[Dahua], Bansal, M.[Mohit], Urtasun, R.[Raquel], Fidler, S.[Sanja],
What Are You Talking About? Text-to-Image Coreference,
CVPR14(3558-3565)
IEEE DOI 1409
3D object detection; Text and images; scene understanding BibRef

Feng, Z.[Zheyun], Feng, S.H.[Song-He], Jin, R.[Rong], Jain, A.K.[Anil K.],
Image Tag Completion by Noisy Matrix Recovery,
ECCV14(VII: 424-438).
Springer DOI 1408
BibRef

Radu, A.L.[Anca-Livia], Ionescu, B.[Bogdan], Menéndez, M.[María], Stöttinger, J.[Julian], Giunchiglia, F.[Fausto], De Angeli, A.[Antonella],
A Hybrid Machine-Crowd Approach to Photo Retrieval Result Diversification,
MMMod14(I: 25-36).
Springer DOI 1405
BibRef

Wang, C.X.[Cai-Xia], Song, Z.[Zehai], Feng, S.H.[Song-He], Lang, C.Y.[Cong-Yan], Yan, S.C.[Shui-Cheng],
A novel image tag saliency ranking algorithm based on sparse representation,
VCIP13(1-5)
IEEE DOI 1412
Web images. image reconstruction BibRef

Mishra, A.[Anand], Alahari, K.[Karteek], Jawahar, C.V.,
Image Retrieval Using Textual Cues,
ICCV13(3040-3047)
IEEE DOI 1403
BibRef

Padilla, S.[Stefano], Halley, F.[Fraser], Robb, D.A.[David A.],
Intuitive Large Image Database Browsing Using Perceptual Similarity Enriched by Crowds,
CAIP13(II:169-176).
Springer DOI 1311
BibRef

Lin, J.[Jie], Duan, L.Y.[Ling-Yu], Yuan, J.S.[Jun-Song], Li, Q.Y.[Qing-Yong], Luo, S.W.[Si-Wei],
Learning sparse tag patterns for social image classification,
ICIP12(2881-2884).
IEEE DOI 1302
BibRef

Truong, B.Q.[Ba Quan], Sun, A.[Aixin], Bhowmick, S.S.[Sourav S.],
Content is still king: the effect of neighbor voting schemes on tag relevance for social image retrieval,
ICMR12(9).
DOI Link 1301
tag-based image retrieval (TagIR). learn the effectiveness of a tag in describing the visual content of the image, BibRef

Mousselly-Sergieh, H.[Hatem], Döller, M.[Mario], Egyed-Zsigmond, E.[Elöd], Gianini, G.[Gabriele], Kosch, H.[Harald], Pinon, J.M.[Jean-Marie],
Tag Relatedness Using Laplacian Score Feature Selection and Adapted Jensen-Shannon Divergence,
MMMod14(I: 159-171).
Springer DOI 1405
BibRef
And: A1, A4, A2, A5, A3, A6:
Geo-based automatic image annotation,
ICMR12(46).
DOI Link 1301
User and geo taged images. BibRef

Hradiš, M.[Michal], Kolár, M.[Martin], Láník, A.[Aleš], Král, J.[Jirí], Zemcík, P.[Pavel], Smrž, P.[Pavel],
Annotating Images with Suggestions: User Study of a Tagging System,
ACIVS12(155-166).
Springer DOI 1209
BibRef

Raykar, V.C., Yu, S.P.[Shi-Peng],
An Entropic Score to Rank Annotators for Crowdsourced Labeling Tasks,
NCVPRIPG11(29-32).
IEEE DOI 1205
BibRef

Mishra, S.[Surjeet], Ghosh, H.[Hiranmay],
Effective Visualization and Navigation in a Multimedia Document Collection Using Ontology,
PReMI09(501-506).
Springer DOI 0912
BibRef

Abulaish, M.[Muhammad], Jahiruddin, Doja, M.N.[Mohammad Najmud], Ahmad, T.[Tanvir],
Feature and Opinion Mining for Customer Review Summarization,
PReMI09(219-224).
Springer DOI 0912
BibRef

Mazarbhuiya, F.A.[Fokrul Alom], Abulaish, M.[Muhammad], Mahanta, A.K.[Anjana Kakoti], Ahmad, T.[Tanvir],
Mining Local Association Rules from Temporal Data Set,
PReMI09(255-260).
Springer DOI 0912
BibRef

Abulaish, M.[Muhammad], Jahiruddin, Dey, L.[Lipika],
A Relation Mining and Visualization Framework for Automated Text Summarization,
PReMI09(249-254).
Springer DOI 0912
BibRef

Sharma, A.[Aayush], Hua, G.[Gang], Liu, Z.C.[Zi-Cheng], Zhang, Z.Y.[Zheng-You],
Meta-tag propagation by co-training an ensemble classifier for improving image search relevance,
InterNet08(1-6).
IEEE DOI 0806
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Medical Image Database Retrieval .


Last update:Dec 15, 2017 at 20:32:53