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Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
[chapter]
Lecture Notes in Computer Science
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This paper presents a large scale general purpose image database with human annotated ground truth. ...
An annotation tool is developed to realize and integrate all tasks. With this tool, we've been able to create a database consisting of more than 636,748 annotated images and video frames. ...
This dataset is a pioneer effort on large scale ground truth annotation on general natural images. ...
doi:10.1007/978-3-540-74198-5_14
fatcat:eioggoiy35dpfoeqv6kihmy3lm
Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy
2013
Computational and Mathematical Methods in Medicine
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For this purpose, we propose a framework consisting of reusable methods and tools for the laborious task of constructing a benchmark database. ...
As a case study, we utilized the framework and tools to establish the DiaRetDB1 V2.1 database for benchmarking diabetic retinopathy detection algorithms. ...
Acknowledgments The authors thank the Finnish Funding Agency for Technology and Innovation (TEKES Project nos. 40430/05 and 40039/07) and the partners of the ImageRet project (http://www2.it.lut.fi/project ...
doi:10.1155/2013/368514
pmid:23956787
pmcid:PMC3703800
fatcat:za5jc5bopbdwleyv6itykyzgcu
PH2 - A dermoscopic image database for research and benchmarking
2013
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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The PH 2 database will be made freely available for research and benchmarking purposes. ...
Unfortunately, the performance of such systems cannot be compared since they are evaluated in different sets of images by their authors and there are no public databases available to perform a fair evaluation ...
We also thank to Catarina Barata and Bárbara Amorim from ADDI project. ...
doi:10.1109/embc.2013.6610779
pmid:24110966
dblp:conf/embc/MendoncaFMMR13
fatcat:aejlfc4gircffm6zt3gkuoccoy
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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deep learning paradigms in building truly large-scale high precision computer-aided diagnosis (CAD) systems. ...
On the other side, it is still an open question how this type of hospital-size knowledge database containing invaluable imaging informatics (i.e., loosely labeled) can be used to facilitate the data-hungry ...
Acknowledgements This work was supported by the Intramural Research Programs of the NIH Clinical Center and National Library of Medicine. We thank NVIDIA Corporation for the GPU donation. ...
doi:10.1109/cvpr.2017.369
dblp:conf/cvpr/WangPLLBS17
fatcat:7fk6qbqutzd7flnh5jwioiyhou
The Conflict Escalation Resolution (CONFER) Database
2017
Image and Vision Computing
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However, machine analysis of conflict is still limited to just a few works, partially due to an overall lack of suitable annotated data, while it has been mostly approached as a conflict or (dis)agreement ...
In this work, we aim to overcome the aforementioned limitations by a) presenting the Conflict Escalation Resolution (CONFER) Database, a set of excerpts from audio-visual recordings of televised political ...
annotation subspace is used as the ground truth annotation for each episode. ...
doi:10.1016/j.imavis.2016.12.001
fatcat:om5ghevhrzbohod75rmm2nuaq4
neXtA5: accelerating annotation of articles via automated approaches in neXtProt
2016
Database: The Journal of Biological Databases and Curation
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The automatic annotations are then stored in a local database, BioMed, for each annotation axis. Additional entities such as species and chemical compounds are also identified. ...
The rapid increase in the number of published articles poses a challenge for curated databases to remain up-to-date. ...
Hence, the TREC methodology has been used to generate various reference benchmarks. ...
doi:10.1093/database/baw098
pmid:27374119
pmcid:PMC4930835
fatcat:pbcdaf65ujffdp2diglunz6lva
Visual Link Retrieval in a Database of Paintings
[chapter]
2016
Lecture Notes in Computer Science
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We design a methodology and a tool to annotate efficiently clusters of similar paintings and test various algorithms in a retrieval task. ...
This paper examines how far state-of-the-art machine vision algorithms can be used to retrieve common visual patterns shared by series of paintings. ...
In order to get the complete ground-truth, one would need to look at all pair-wise relationships (O(N 2 )) which is impossible for a large N . ...
doi:10.1007/978-3-319-46604-0_52
fatcat:3o4rdl2iynfmpjuura7axbkkve
Artistic Image Classification: An Analysis on the PRINTART Database
[chapter]
2012
Lecture Notes in Computer Science
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Our main goal with this paper is to make this database, the evaluation process, and the benchmark results available for the computer vision community. ...
In this work, we present a new database of monochromatic artistic images containing 988 images with a global semantic annotation, a local compositional annotation, and a pose annotation of human subjects ...
Lázaro and R. Carvalho for their help with the art history issues. We acknowledge the matrix completion code by R. Cabral. Finally, we thank D. ...
doi:10.1007/978-3-642-33765-9_11
fatcat:x65kbh3a6ve7ln7jqsezrmjp5y
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
[article]
2019
arXiv
pre-print
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To this end, Aff-Wild has been the first large-scale "in-the-wild" database, containing around 1,200,000 frames. ...
Recent progress in the emotion recognition domain has been achieved through the development of deep neural architectures and the availability of very large training databases. ...
The existing Aff-Wild database The Aff-Wild has been the first large scale captured inthe-wild database, consisting of 298 videos and displaying reactions of 200 subjects, with a total video duration of ...
arXiv:1811.07770v2
fatcat:36bfuf3jmreobbktnoedsjcoxq
Shape Context for soft biometrics in person re-identification and database retrieval
2015
Pattern Recognition Letters
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We introduce a novel descriptor for the analysis of pedestrians and its applications to person re-identification and database retrieval. ...
We show that a good linear correlation exists between Shape Context descriptors and soft biometrics quantities in the upper human torso and illustrate its application to retrieval in databases from human ...
In contrast to [17] , where the training set was generated by manual annotations done on real imagery by a large number of human annotators, here we avoid such a troublesome training phase by generating ...
doi:10.1016/j.patrec.2015.07.001
fatcat:dh6zkcgzhbbsjeuposi4ll3dve
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
2017
IEEE Transactions on Affective Computing
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2017 pre-print arXiv:1708.03985v3 fatcat:7j2ct3igmbfczg37l6jci2zznaOther Versions
To meet this need, we collected, annotated, and prepared for public distribution a new database of facial emotions in the wild (called AffectNet). ...
Existing annotated databases of facial expressions in the wild are small and mostly cover discrete emotions (aka the categorical model). ...
INTRODUCTION A FFECT is a psychological term used to describe the outward expression of emotion and feelings. ...
doi:10.1109/taffc.2017.2740923
fatcat:iychfrtx3narvbaqyn6wjrmnn4
ACM SIGMM the first workshop on web-scale multimedia corpus (WSMC09)
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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The Workshop will provide a forum to consolidate key factors related to research on very large scale multimedia dataset such as the construction of dataset, creation of ground truth, sharing and extension ...
of such resources in terms of ground truth, features, algorithms and tools etc. ...
We hope that you enjoy and benefit from this program, ...
doi:10.1145/1631272.1631551
dblp:conf/mm/HuetTH09
fatcat:kwufdtgghnhi7jqbfs5mtepkce
Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
2019
International Journal of Computer Vision
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In this paper, we introduce the Aff-Wild benchmark for training and evaluating affect recognition algorithms. ...
, AFEW-VA and EmotiW datasets, compared to all other methods designed for the same goal. ...
rather short To tackle the aforementioned limitations, we collected the first, to the best of our knowledge, large scale captured in-the-wild database and annotated it in terms of valence and arousal. ...
doi:10.1007/s11263-019-01158-4
fatcat:6oop3q7kfjhr7f7i3vm3wiqwl4
Extracting Databases from Dark Data with DeepDive
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
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have used DeepDive to create databases with accuracy that meets that of human annotators. ...
DeepDive is enabled by an unusual design that combines large-scale probabilistic inference with a novel developer interaction cycle. ...
In DeepDive, each variable corresponds to one tuple in the database, and each hyperedge f corresponds to the set of groundings for a rule γ. ...
doi:10.1145/2882903.2904442
pmid:28316365
pmcid:PMC5350112
dblp:conf/sigmod/Zhang0RCN16
fatcat:kivcsb2bovgg3hkvpwco47hvba
Image indexing in article component databases
2009
Journal of the American Society for Information Science and Technology
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The evaluation showed that automatic indexing of the component maps by these three facets works well, and indicates that a large-scale component database following this model is viable. ...
The objective of this research has been to create a database of non-textual components (here, maps) that are searchable independently of the articles from which they are taken, with the option to view ...
Acknowledgments Thanks to Professor Michael Lesk, whose insight before, during, and after this project improved it immeasurably. Thanks also to the two anonymous reviewers. ...
doi:10.1002/asi.21107
fatcat:y3b7i4iqabc7nlrdjk45fp4qb4
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