20.4.3.3.11 Internet Label Information

Chapter Contents (Back)
Image Database. Internet Labels.
See also Social Media Search, Large Scale Systems, Web-Scale System.
See also Crowdsourcing, Recognition, Analysis, Descriptions.

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

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

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

Qian, X., Li, C., Lan, K., Hou, X., Li, Z., Han, J.,
POI Summarization by Aesthetics Evaluation From Crowd Source Social Media,
IP(27), No. 3, March 2018, pp. 1178-1189.
IEEE DOI 1801
cameras, data visualisation, feature extraction, image colour analysis, image retrieval, object detection, saliency map BibRef

Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui], Mei, T.[Tao],
Deep Collaborative Embedding for Social Image Understanding,
PAMI(41), No. 9, Sep. 2019, pp. 2070-2083.
IEEE DOI 1908
From tags. Correlation, Task analysis, Image retrieval, Semantics, Visualization, Image annotation, Collaboration, image retrieval BibRef

Zheng, C.M.[Chang-Meng], Wu, Z.W.[Zhi-Wei], Wang, T.[Tao], Cai, Y.[Yi], Li, Q.[Qing],
Object-Aware Multimodal Named Entity Recognition in Social Media Posts With Adversarial Learning,
MultMed(23), 2021, pp. 2520-2532.
IEEE DOI 2108
Visualization, Social network services, Feature extraction, Task analysis, Logic gates, Data mining, Training, bilinear attention network BibRef

Park, J.Y.[Jang You], Ryu, D.J.[Dong June], Nam, K.W.[Kwang Woo], Jang, I.[Insung], Jang, M.[Minseok], Lee, Y.[Yonsik],
DeepDBSCAN: Deep Density-Based Clustering for Geo-Tagged Photos,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Zheng, C.[Chaoqun], Zhu, L.[Lei], Cheng, Z.Y.[Zhi-Yong], Li, J.J.[Jing-Jing], Liu, A.A.[An-An],
Adaptive Partial Multi-View Hashing for Efficient Social Image Retrieval,
MultMed(23), 2021, pp. 4079-4092.
IEEE DOI 2112
Image retrieval, Training, Semantics, Feature extraction, Kernel, Adaptation models, Binary codes, Social image retrieval, adaptive weights BibRef


Liu, Z.J.[Zhi-Jian], Stent, S.[Simon], Li, J.[Jie], Gideon, J.[John], Han, S.[Song],
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision,
ICCV21(2147-2156)
IEEE DOI 2203
Location awareness, Visualization, Image segmentation, Annotations, Object detection, Feature extraction, Vision + language, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Desai, K.[Karan], Johnson, J.[Justin],
VirTex: Learning Visual Representations from Textual Annotations,
CVPR21(11157-11168)
IEEE DOI 2111
Training, Visualization, Image segmentation, Image recognition, Head, Annotations, Object detection BibRef

Kenigsfield, G.S.[Gal S.], El-Yaniv, R.[Ran],
TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships,
WACV21(1954-1963)
IEEE DOI 2106
Use auxillary text. Training, Visualization, Electronic publishing, Image recognition, Text recognition, Semantics BibRef

Tesan, T.[Tobia], Coscia, P.[Pasquale], Ballan, L.[Lamberto],
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata,
ICPR21(231-238)
IEEE DOI 2105
Visualization, Vocabulary, Recurrent neural networks, Visual communication, Social networking (online), Semantics, Image annotation BibRef

Yang, J.K.[Jing-Kang], Feng, L.T.[Li-Tong], Chen, W.R.[Wei-Rong], Yan, X.P.[Xiao-Peng], Zheng, H.[Huabin], Luo, P.[Ping], Zhang, W.[Wayne],
Webly Supervised Image Classification with Self-Contained Confidence,
ECCV20(VIII:779-795).
Springer DOI 2011
BibRef

Long, C.J.[Cheng-Jiang], Collins, R.[Roddy], Swears, E.[Eran], Hoogs, A.[Anthony],
Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata,
WACV19(1607-1615)
IEEE DOI 1904
convolutional neural nets, entropy, graph theory, image retrieval, image segmentation, learning (artificial intelligence), Recurrent neural networks BibRef

Tu, Y.[Yi], Niu, L.[Li], Chen, J.J.[Jun-Jie], Cheng, D.W.[Da-Wei], Zhang, L.Q.[Li-Qing],
Learning From Web Data With Self-Organizing Memory Module,
CVPR20(12843-12852)
IEEE DOI 2008
Memory modules, Noise measurement, Training, Proposals, Dogs, Prototypes, Benchmark testing BibRef

Niu, L.[Li], Tang, Q.T.[Qing-Tao], Veeraraghavan, A.[Ashok], Sabharwal, A.[Ashu],
Learning from Noisy Web Data with Category-Level Supervision,
CVPR18(7689-7698)
IEEE DOI 1812
Training, Semantics, Noise measurement, Supervised learning, Probabilistic logic, Visualization, Anomaly detection BibRef

Guo, S.[Sheng], Huang, W.L.[Wei-Lin], Zhang, H.Z.[Hao-Zhi], Zhuang, C.F.[Chen-Fan], Dong, D.[Dengke], Scott, M.R.[Matthew R.], Huang, D.L.[Ding-Long],
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images,
ECCV18(X: 139-154).
Springer DOI 1810
BibRef

Chang, X.O.[Xia-Obin], Xiang, T.[Tao], Hospedales, T.M.[Timothy M.],
L_1 Graph Based Sparse Model for Label De-noising,
BMVC16(xx-yy).
HTML Version. 1805
user-provided tags available on social media. BibRef

Vadicamo, L.[Lucia], Carrara, F.[Fabio], Cimino, A.[Andrea], Cresci, S.[Stefano], Dell'Orletta, F.[Felice], Falchi, F.[Fabrizio], Tesconi, M.[Maurizio],
Cross-Media Learning for Image Sentiment Analysis in the Wild,
WSM17(308-317)
IEEE DOI 1802
3000000 tweets with image and text. Feature extraction, Media, Sentiment analysis, Support vector machines, Twitter, Visualization BibRef

Fernández, D., Varas, D., Espadaler, J., Masuda, I., Ferreira, J., Woodward, A., Rodríguez, D., Giró-i-Nieto, X., Riveiro, J.C., Bou, E.,
ViTS: Video Tagging System from Massive Web Multimedia Collections,
WSM17(337-346)
IEEE DOI 1802
Internet, Multimedia communication, Real-time systems, Semantics, Streaming media, Tagging, Vocabulary BibRef

Goyal, R., Kahou, S.E., Michalski, V., Materzynska, J., Westphal, S., Kim, H., Haenel, V., Fruend, I., Yianilos, P., Mueller-Freitag, M., Hoppe, F., Thurau, C., Bax, I., Memisevic, R.[Roland],
The 'Something Something' Video Database for Learning and Evaluating Visual Common Sense,
ICCV17(5843-5851)
IEEE DOI 1802
crowdsourcing, image classification, learning (artificial intelligence), neural nets, video databases, 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

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.M.[Fu-Min], 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

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

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

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, Medicine .


Last update:Nov 26, 2024 at 16:40:19