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Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks [chapter]

Benjamin Yao, Xiong Yang, Song-Chun Zhu
Lecture Notes in Computer Science  
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

Tomi Kauppi, Joni-Kristian Kämäräinen, Lasse Lensu, Valentina Kalesnykiene, Iiris Sorri, Hannu Uusitalo, Heikki Kälviäinen
2013 Computational and Mathematical Methods in Medicine  
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

Teresa Mendonca, Pedro M. Ferreira, Jorge S. Marques, Andre R. S. Marcal, Jorge Rozeira
2013 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
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

Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Christos Georgakis, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic
2017 Image and Vision Computing  
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

Luc Mottin, Julien Gobeill, Emilie Pasche, Pierre-André Michel, Isabelle Cusin, Pascale Gaudet, Patrick Ruch
2016 Database: The Journal of Biological Databases and Curation  
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]

Benoit Seguin, Carlotta Striolo, Isabella diLenardo, Frederic Kaplan
2016 Lecture Notes in Computer Science  
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]

Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira
2012 Lecture Notes in Computer Science  
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]

Dimitrios Kollias, Stefanos Zafeiriou
2019 arXiv   pre-print
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

Athira Nambiar, Alexandre Bernardino, Jacinto Nascimento
2015 Pattern Recognition Letters  
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

Ali Mollahosseini, Behzad Hasani, Mohammad H. Mahoor
2017 IEEE Transactions on Affective Computing  
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)

Benoit Huet, Jinhui Tang, Alex Hauptmann
2009 Proceedings of the seventeen ACM international conference on Multimedia - MM '09  
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

Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn Schuller, Irene Kotsia, Stefanos Zafeiriou
2019 International Journal of Computer Vision  
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

Ce Zhang, Jaeho Shin, Christopher Ré, Michael Cafarella, Feng Niu
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
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

Judith Gelernter
2009 Journal of the American Society for Information Science and Technology  
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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