13.6.10 Image Annotation

Chapter Contents (Back)
Annotation. Very similar to captioning.
See also Video Captioning.
See also Transformer for Captioning, Image Captioning.
See also Multi-Modal, Cross-Modal Captioning, Image Captioning.

Nakayama, H.[Hideki], Harada, T.[Tatsuya], Kuniyoshi, Y.[Yasuo],
Dense Sampling Low-Level Statistics of Local Features,
IEICE(E93-D), No. 7, July 2010, pp. 1727-1736.
WWW Link. 1008
BibRef
Earlier: CIVR09(Article No 17).
DOI Link 0907
BibRef
And:
Global Gaussian approach for scene categorization using information geometry,
CVPR10(2336-2343).
IEEE DOI 1006
BibRef
Earlier:
AI Goggles: Real-time Description and Retrieval in the Real World with Online Learning,
CRV09(184-191).
IEEE DOI 0905
local features. Scalability of matching for large-scale indexing. Boost global features with sampled statistics of local features. BibRef

Ushiku, Y.[Yoshitaka], Yamaguchi, M.[Masataka], Mukuta, Y.[Yusuke], Harada, T.[Tatsuya],
Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images,
ICCV15(2668-2676)
IEEE DOI 1602
Feature extraction BibRef

Harada, T.[Tatsuya], Nakayama, H.[Hideki], Kuniyoshi, Y.[Yasuo],
Improving Local Descriptors by Embedding Global and Local Spatial Information,
ECCV10(IV: 736-749).
Springer DOI 1009
BibRef
Earlier: A2, A1, A3:
Evaluation of dimensionality reduction methods for image auto-annotation,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Jin, J.[Jiren], Nakayama, H.[Hideki],
Annotation order matters: Recurrent Image Annotator for arbitrary length image tagging,
ICPR16(2452-2457)
IEEE DOI 1705
Correlation, Feature extraction, Indexes, Predictive models, Recurrent neural networks, Training BibRef

Tariq, A.[Amara], Foroosh, H.[Hassan],
A Context-Driven Extractive Framework for Generating Realistic Image Descriptions,
IP(26), No. 2, February 2017, pp. 619-632.
IEEE DOI 1702
image annotation BibRef

Cheng, Q.[Qimin], Zhang, Q.[Qian], Fu, P.[Peng], Tu, C.H.[Cong-Huan], Li, S.[Sen],
A survey and analysis on automatic image annotation,
PR(79), 2018, pp. 242-259.
Elsevier DOI 1804
Automatic image annotation, Generative model, Nearest-neighbor model, Discriminative model, Tag-completion, Deep learning BibRef

Ben Rejeb, I.[Imen], Ouni, S.[Sonia], Barhoumi, W.[Walid], Zagrouba, E.[Ezzeddine],
Fuzzy VA-Files for multi-label image annotation based on visual content of regions,
SIViP(12), No. 5, July 2018, pp. 877-884.
Springer DOI 1806
Vector Approximation Files. BibRef

Helmy, T.[Tarek],
A Generic Framework for Semantic Annotation of Images,
IJIG(18), No. 3, July 2018, pp. Article 1850013.
DOI Link 1807
BibRef

Hu, J.[Jiwei], Lam, K.M.[Kin-Man], Lou, P.[Ping], Liu, Q.[Quan], Deng, W.P.[Wu-Peng],
Can a machine have two systems for recognition, like human beings?,
JVCIR(56), 2018, pp. 275-286.
Elsevier DOI 1811
Image annotation, Multi-labeling, Hierarchical tree structure, Feature-pool selection BibRef

Bhagat, P.K., Choudhary, P.,
Image annotation: Then and now,
IVC(80), 2018, pp. 1-23.
Elsevier DOI 1812
Image annotation, Automatic image annotation, Multi-label classification, Image labeling, Image tagging, Image retrieval BibRef

Bazrafkan, S.[Shabab], Javidnia, H.[Hossein], Corcoran, P.[Peter],
Latent space mapping for generation of object elements with corresponding data annotation,
PRL(116), 2018, pp. 179-186.
Elsevier DOI 1812
Generative models, Latent space mapping, Deep neural networks BibRef

Jiu, M.Y.[Ming-Yuan], Sahbi, H.[Hichem],
Deep representation design from deep kernel networks,
PR(88), 2019, pp. 447-457.
Elsevier DOI 1901
Multiple kernel learning, Kernel design, Deep networks, Efficient computation, Image annotation BibRef

Foumani, S.N.M.[Seyed Navid Mohammadi], Nickabadi, A.[Ahmad],
A probabilistic topic model using deep visual word representation for simultaneous image classification and annotation,
JVCIR(59), 2019, pp. 195-203.
Elsevier DOI 1903
Image classification and annotation, Topic models, Probabilistic model, Deep learning, LLC BibRef

Zhang, J.J.[Jun-Jie], Wu, Q.[Qi], Zhang, J.[Jian], Shen, C.H.[Chun-Hua], Lu, J.F.[Jian-Feng], Wu, Q.A.[Qi-Ang],
Heritage image annotation via collective knowledge,
PR(93), 2019, pp. 204-214.
Elsevier DOI 1906
Annotation diversity, Image annotation, Representation learning, Collective knowledge, Heritage image collection BibRef

Verma, Y.[Yashaswi],
Diverse image annotation with missing labels,
PR(93), 2019, pp. 470-484.
Elsevier DOI 1906
Image annotation, Diverse labels, Missing labels, Nearest neighbour BibRef

Markatopoulou, F., Mezaris, V., Patras, I.,
Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation,
CirSysVideo(29), No. 6, June 2019, pp. 1631-1644.
IEEE DOI 1906
Task analysis, Correlation, Standards, Training, Neural networks, Semantics, Video/image concept annotation, video analysis BibRef

Laib, L.[Lakhdar], Allili, M.S.[Mohand Saďd], Ait-Aoudia, S.[Samy],
A probabilistic topic model for event-based image classification and multi-label annotation,
SP:IC(76), 2019, pp. 283-294.
Elsevier DOI 1906
Event recognition, Image annotation, Topic modeling, Convolutional neural nets BibRef

Olaode, A.[Abass], Naghdy, G.[Golshah],
Review of the application of machine learning to the automatic semantic annotation of images,
IET-IPR(13), No. 8, 20 June 2019, pp. 1232-1245.
DOI Link 1906
BibRef

Zhang, C.J.[Chun-Jie], Cheng, J.[Jian], Tian, Q.[Qi],
Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency,
Cyber(49), No. 11, November 2019, pp. 3834-3843.
IEEE DOI 1908
image annotation, image classification, learning (artificial intelligence), mapping function, view consistency BibRef

Tang, C., Liu, X., Wang, P., Zhang, C., Li, M., Wang, L.,
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation,
MultMed(21), No. 11, November 2019, pp. 2837-2849.
IEEE DOI 1911
Image annotation, Semisupervised learning, Semantics, Computational modeling, Task analysis, Training, Computer science, feature projection BibRef

Mundnich, K.[Karel], Booth, B.M.[Brandon M.], Girault, B.[Benjamin], Narayanan, S.[Shrikanth],
Generating labels for regression of subjective constructs using triplet embeddings,
PRL(128), 2019, pp. 385-392.
Elsevier DOI 1912
Continuous-time annotations, Annotation fusion, Inter-rater agreement, Triplet embeddings, Ordinal embeddings BibRef

Chaudhary, C., Goyal, P., Prasad, D.N., Chen, Y.P.,
Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base,
MultMed(22), No. 4, April 2020, pp. 897-911.
IEEE DOI 2004
Knowledge based systems, Visualization, Image annotation, Encyclopedias, Electronic publishing, Internet, Tagging, knowledge based systems BibRef

Khatchatoorian, A.G.[Artin Ghostan], Jamzad, M.[Mansour],
Architecture to improve the accuracy of automatic image annotation systems,
IET-CV(14), No. 5, August 2020, pp. 214-223.
DOI Link 2007
BibRef

Theodosiou, Z.[Zenonas], Tsapatsoulis, N.[Nicolas],
Image annotation: the effects of content, lexicon and annotation method,
MultInfoRetr(9), No. 3, September 2020, pp. 191-203.
WWW Link. 2008
BibRef

Haghighi, F.[Fatemeh], Taher, M.R.H.[Mohammad Reza Hosseinzadeh], Zhou, Z.W.[Zong-Wei], Gotway, M.B.[Michael B.], Liang, J.M.[Jian-Ming],
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning,
MedImg(40), No. 10, October 2021, pp. 2857-2868.
IEEE DOI 2110

WWW Link. Code, Visual Worlds. Medical image annotation. Visualization, Semantics, Image representation, Feature extraction, Biomedical imaging, Annotations, Training, and 3D pre-trained models BibRef

Hochberg, D.C.[Dana Cohen], Greenspan, H.[Hayit], Giryes, R.[Raja],
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels,
MedImg(41), No. 12, December 2022, pp. 3509-3519.
IEEE DOI 2212
Task analysis, Training, Generators, Biomedical imaging, Self-supervised learning, Annotations, Aerospace electronics, representative selection BibRef

Wang, J.[Jiuniu], Xu, W.J.[Wen-Jia], Wang, Q.Z.[Qing-Zhong], Chan, A.B.[Antoni B.],
On Distinctive Image Captioning via Comparing and Reweighting,
PAMI(45), No. 2, February 2023, pp. 2088-2103.
IEEE DOI 2301
Training, Measurement, Annotations, Semantics, Maximum likelihood estimation, Xenon, Web and internet services, metric BibRef


Lahtinen, T.[Tuomo], Turtiainen, H.[Hannu], Costin, A.[Andrei],
Brima: Low-Overhead Browser-Only Image Annotation Tool (Preprint),
ICIP21(2633-2637)
IEEE DOI 2201
Tool for interactive annotation. BRowser-only IMage Annotation. Training, Annotations, Image annotation, Documentation, Tools, Browsers, Image Annotation, Annotation Tool, COCO BibRef

Lotfi, F.[Fariba], Jamzad, M.[Mansour], Beigy, H.[Hamid],
Automatic Image Annotation using Tag Relations and Graph Convolutional Networks,
IPRIA21(1-6)
IEEE DOI 2201
Vocabulary, Visualization, Image analysis, Convolution, Annotations, Image annotation, Games, Automatic image annotation, deep learning, vocabulary graph BibRef

Chen, X.Y.[Xian-Yu], Jiang, M.[Ming], Zhao, Q.[Qi],
Self-Distillation for Few-Shot Image Captioning,
WACV21(545-555)
IEEE DOI 2106
Annotations, Training data, Manuals, Data models, Task analysis BibRef

Jiu, M., Sahbi, H.,
End-to-End Deep Kernel Map Design for Image Annotation,
ICIP20(1546-1550)
IEEE DOI 2011
Kernel, Task analysis, Training, Image annotation, Neural networks, Training data, Supervised learning, Deep kernel networks, image annotation BibRef

Hu, H., Misra, I., van der Maaten, L.,
Evaluating Text-to-Image Matching using Binary Image Selection (BISON),
CLVL19(1887-1890)
IEEE DOI 2004
content-based retrieval, image annotation, image matching, image retrieval, text analysis, linguistic content, Image Captioning BibRef

Tanaka, M., Itamochi, T., Narioka, K., Sato, I., Ushiku, Y., Harada, T.,
Generating Easy-to-Understand Referring Expressions for Target Identifications,
ICCV19(5793-5802)
IEEE DOI 2004
Code, Annotation.
WWW Link. computer games, image processing, referred objects, salient contexts, human annotation, Grand Theft Auto V, Task analysis BibRef

Gupta, T., Schwing, A.G., Hoiem, D.,
ViCo: Word Embeddings From Visual Co-Occurrences,
ICCV19(7424-7433)
IEEE DOI 2004
feature extraction, image annotation, image classification, pattern clustering, supervised learning, text analysis, Vocabulary BibRef

Bracha, L.[Lior], Chechik, G.[Gal],
Informative Object Annotations: Tell Me Something I Don't Know,
CVPR19(12499-12507).
IEEE DOI 2002
BibRef

Rapson, C.J., Seet, B., Naeem, M.A., Lee, J.E., Al-Sarayreh, M., Klette, R.,
Reducing the Pain: A Novel Tool for Efficient Ground-Truth Labelling in Images,
IVCNZ18(1-9)
IEEE DOI 1902
Labeling, Tools, Image segmentation, Image color analysis, Brushes, Head, Automobiles, image labelling, annotations, segmentation, image dataset BibRef

Wu, B.Y.[Bao-Yuan], Chen, W.D.[Wei-Dong], Sun, P.[Peng], Liu, W.[Wei], Ghanem, B.[Bernard], Lyu, S.W.[Si-Wei],
Tagging Like Humans: Diverse and Distinct Image Annotation,
CVPR18(7967-7975)
IEEE DOI 1812
Semantics, Image annotation, Redundancy, Training, Task analysis, Generators BibRef

Wu, X.J.[Xin-Jian], Zhang, L.[Li], Li, F.Z.[Fan-Zhang], Wang, B.J.[Bang-Jun],
A Novel Model for Multi-label Image Annotation,
ICPR18(1953-1958)
IEEE DOI 1812
Feature extraction, Image annotation, Computational modeling, Semantics, Measurement, Visualization, Classification algorithms, Multi-label learning BibRef

Jiu, M., Sahbi, H., Qi, L.,
Deep Context Networks for Image Annotation,
ICPR18(2422-2427)
IEEE DOI 1812
image annotation, image classification, learning (artificial intelligence), deep context networks, Standards BibRef

Khatchatoorian, A.G., Jamzad, M.,
Post Rectifying Methods to Improve the Accuracy of Image Annotation,
DICTA17(1-7)
IEEE DOI 1804
feature extraction, image annotation, image classification, image retrieval, matrix algebra, Class-tag relation matrix, Time division multiplexing BibRef

Pellegrin, L.[Luis], Escalante, H.J.[Hugo Jair], Montes-y-Gómez, M.[Manuel], Villegas, M.[Mauricio], González, F.A.[Fabio A.],
A Flexible Framework for the Evaluation of Unsupervised Image Annotation,
CIARP17(508-516).
Springer DOI 1802
BibRef

Tripathi, A.[Anurag], Gupta, A.[Abhinav], Chaudhary, S.[Santanu], Lall, B.[Brejesh],
Image Annotation Using Latent Components and Transmedia Association,
PReMI17(493-500).
Springer DOI 1711
BibRef

Wu, B.Y.[Bao-Yuan], Jia, F.[Fan], Liu, W.[Wei], Ghanem, B.[Bernard],
Diverse Image Annotation,
CVPR17(6194-6202)
IEEE DOI 1711
Correlation, Feature extraction, Measurement, Redundancy, Semantics BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
LSTM: Long Short-Term Memory for Captioning, Image Captioning .


Last update:May 6, 2024 at 15:50:14