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AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

Grant number: 14/12236-1
Support type:Research Projects - Thematic Grants
Duration: February 01, 2017 - January 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Alexandre Xavier Falcão
Grantee:Alexandre Xavier Falcão
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Co-Principal Investigators:Jancarlo Ferreira Gomes ; João Paulo Papa ; Katia Denise Saraiva Bresciani ; Luis Gustavo Nonato ; Marcelo Finger
Assoc. researchers:Hélio Pedrini ; Jancarlo Ferreira Gomes ; Paulo André Vechiatto de Miranda ; Pedro Jussieu de Rezende ; Priscila Tiemi Maeda Saito ; Ricardo da Silva Torres
Associated grant(s):19/17096-7 - Criptosporidium spp.: image analysis, molecular and intestinal microbiome, AV.EXT
19/06533-7 - Adversarial learning for computer-assisted cancer diagnosis, AP.R
19/17094-4 - 2019 IEEE International Conference on image processing, AR.EXT
+ associated grants 19/00585-5 - Evolutionary Generative Adversarial Networks applied to computer-assisted diabetic retinopathy diagnosis, AP.R
18/11100-0 - 30th Canadian conference on computational geometry, AR.EXT
17/05522-6 - 50th annual International Symposium of circuits and systems, AR.EXT - associated grants
Associated scholarship(s):19/11349-0 - Image segmentation based on dynamic trees and neural networks, BP.IC
19/02205-5 - Adversarial learning in natural language processing, BP.DR
18/21204-7 - Diagnosis of Cryptosporidium spp. by automated image analysis, BP.MS
+ associated scholarships 17/04847-9 - Barrett's esophagus assisted diagnosis using machine learning, BP.DR
18/19245-7 - Development and validation of a new laboratory tool for the remote computerized image-based diagnosis of skin lesions caused by Leishmania spp, BP.PD
18/10100-6 - Hyperparameter fine-tuning in long short-term memory nets using genetic programming, BP.IC
18/10706-1 - Hyperparameter learning in restricted Boltzmann machines using genetic programming, BP.IC
18/08951-8 - PyIFT: image processing using image foresting transform in Python, BP.IC
18/01693-3 - Diagnosis of Cryptosporidium spp. by automated image analysis, BP.TT
17/10537-2 - PyOPF: pattern classification based on Optimum-Path Forest on Python, BP.IC
17/09160-1 - Human Action Recognition in Videos, BP.DR
17/03940-5 - Interactive Learning of Visual Dictionaries Applied to Image Classification, BP.DR
17/12974-0 - Multidimensional data visualization guided by machine learning, BP.PD
17/14189-9 - Automated diagnosis of gastrointestinal parasite images of dogs and cats , BP.PD
17/02073-6 - Network model for crime forecasting, BP.DR
16/25776-0 - Autoencoders neural networks optimization by visual analytics data, BP.MS - associated scholarships

Abstract

In many areas of the Sciences and Engineering, images provide important information about real problems and the assignment by a machine of one or multiple labels per image (annotation) leads to a decision about the problem. However, the machine learning process requires the manual isolation and identification (label assignment) of the content of interest, named sample, in training images. As unlabeled images and samples per image grow large in number, their manual annotation becomes infeasible, leading us to the following research questions: What is the most intuitive way specialists can teach machines to annotate images? What are the tasks and challenges involved in this process? How to minimize human effort with maximum efficacy in machine learning? What can machines and specialists learn from their interaction? This thematic project aims at finding answers to these questions by the study and development of methods for image annotation in large scale, and the construction of decision-making systems (with no user participation) and decision-support systems, wheremachines and specialists cooperate with and learn from each other continuously. The methodology exploits the complementary skills of humans, better in knowledge abstraction, and machines, superior in large scale data processing, in a repetitive way and free of fatigue. The project divides the problem into two steps: sample extraction and interactive machine learning, in view of building a sequence of operations for automated annotation of new images or annotation with minimum user intervention. The study searches to combine image features learned from the data with features that derive from the knowledge of the specialists about the application. The project still aims at technological and scientific innovations for the diagnosis of gastrintestinal parasites in humans and vertebrate animals, by the automated acquisition and annotation of optical microscopy images, and to demonstrate the extension of the methods to other application domains, the project includes studies of medical image annotation using multi-object shape models and interactive annotation of remote sensing images. (AU)

Articles published in other media outlets (10 total):
More itemsLess items
Avanço da inteligência artificial permite ampliação da análise de imagens 
Avanço em aprendizado de máquina possibilita novas tecnologias baseadas na análise de imagens 
Avanço em aprendizado de máquina possibilita novas tecnologias baseadas na análise de imagens 
Avanço da inteligência artificial permite ampliação da análise de imagens 
Human-machine interaction enables development of highly accurate decision-making systems 
Novas tecnologias possibilita análise de imagens por máquinas 
Avanço em aprendizado de máquina possibilita novas tecnologias baseadas na análise de imagens 
Human-machine interaction enables development of highly accurate decision-making systems 
Human-machine interaction enables development of highly accurate decision-making systems 
Human-machine interaction enables highly accurate decision-making systems to be created 

Scientific publications (54)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; ALMEIDA, JURANDY; TONES, RICARDO DA S. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, n. 12, p. 5824-5838, DEC 2019. Web of Science Citations: 0.
MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. Web of Science Citations: 0.
FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. Web of Science Citations: 0.
AMORIM, WILLIAN PARAGUASSU; TETILA, EVERTON CASTELAO; PISTORI, HEMERSON; PAPA, JOAO PAULO. Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 164, SEP 2019. Web of Science Citations: 0.
PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; OKELL, THOMAS W.; FORKERT, NILS D. A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. MEDICAL IMAGE ANALYSIS, v. 56, p. 184-192, AUG 2019. Web of Science Citations: 0.
VARGAS-MUNOZ, JOHN E.; CHOWDHURY, ANANDA S.; ALEXANDRE, EDUARDO B.; GALVAO, FELIPE L.; VECHIATTO MIRANDA, PAULO A.; FALCAO, ALEXANDRE X. An Iterative Spanning Forest Framework for Superpixel Segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, JUL 2019. Web of Science Citations: 0.
IWASHITA, ADRIANA SAYURI; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. Learning concept drift with ensembles of optimum-path forest-based classifiers. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 95, p. 198-211, JUN 2019. Web of Science Citations: 0.
AFONSO, LUIS C. S.; ROSA, GUSTAVO H.; PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO P. A recurrence plot-based approach for Parkinson's disease identification. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 94, p. 282-292, MAY 2019. Web of Science Citations: 4.
FERNANDES, SILAS E. N.; PEREIRA, DANILLO R.; RAMOS, CAIO C. O.; SOUZA, ANDRE N.; GASTALDELLO, DANILO S.; PAPA, JOAO P. A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 3, p. 3226-3235, MAY 2019. Web of Science Citations: 1.
NACHIF FERNANDES, SILAS EVANDRO; PAPA, JOAO PAULO. Improving optimum-path forest learning using bag-of-classifiers and confidence measures. PATTERN ANALYSIS AND APPLICATIONS, v. 22, n. 2, p. 703-716, MAY 2019. Web of Science Citations: 1.
UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. Web of Science Citations: 0.
OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. Web of Science Citations: 0.
PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO P. A survey on computer-assisted Parkinson's Disease diagnosis. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 95, p. 48-63, APR 2019. Web of Science Citations: 5.
YAMASHITA, ALEXANDRE YUKIO; FALCAO, ALEXANDRE XAVIER; LEITE, NEUCIMAR JERONIMO; INITIA, ALZHEIMERS DIS NEUROIMAGING. The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease. NEUROINFORMATICS, v. 17, n. 2, p. 307-321, APR 2019. Web of Science Citations: 1.
DA COSTA, KELTON A. P.; PAPA, JOAO P.; LISBOA, CELSO O.; MUNOZ, ROBERTO; DE ALBUQUERQUE, VICTOR HUGO C. Internet of Things: A survey on machine learning-based intrusion detection approaches. Computer Networks, v. 151, p. 147-157, MAR 14 2019. Web of Science Citations: 4.
GUIMARAES, RANIERE ROCHA; PASSOS JR, LEANDRO A.; HOLANDA FILHO, RAIMIR; DE ALBUQUERQUE, VICTOR HUGO C.; RODRIGUES, JOEL J. P. C.; KOMAROV, MIKHAIL M.; PAPA, JOAO PAULO. Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE NETWORK, v. 33, n. 2, p. 126-131, MAR-APR 2019. Web of Science Citations: 2.
MELO DE OLIVEIRA SANTOS, CECILIA LIRA; CAMARGO LAMPARELLI, RUBENS AUGUSTO; DANTAS ARAUJO FIGUEIREDO, GLEYCE KELLY; DUPUY, STEPHANE; BOURY, JULIE; DOS SANTOS LUCIANO, ANA CLAUDIA; TORRES, RICARDO DA SILVA; LE MAIRE, GUERRIC. Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region. REMOTE SENSING, v. 11, n. 3 FEB 1 2019. Web of Science Citations: 3.
MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, FEB 2019. Web of Science Citations: 1.
PASSOS, LEANDRO A.; DE SOUZA, JR., LUIS A.; MENDEL, ROBERT; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PALM, CHRISTOPH; PAPA, JOAO PAULO. Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 59, p. 475-485, FEB 2019. Web of Science Citations: 0.
REBOUCAS FILHO, PEDRO P.; DA SILVA BARROS, ANTONIO C.; RAMALHO, GERALDO L. B.; PEREIRA, CLAYTON R.; PAPA, JOAO PAULO; DE ALBUQUERQUE, VICTOR HUGO C.; TAVARES, JOAO MANUEL R. S. Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. NEURAL COMPUTING & APPLICATIONS, v. 31, n. 2, p. 901-914, FEB 2019. Web of Science Citations: 1.
DE SOUZA, GUSTAVO BOTELHO; DA SILVA SANTOS, DANIEL FELIPE; PIRES, RAFAEL GONCALVES; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. DEEP FEATURES EXTRACTION FOR ROBUST FINGERPRINT SPOOFING ATTACK DETECTION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH, v. 9, n. 1, p. 41-49, JAN 2019. Web of Science Citations: 4.
KHOJASTEH, PARHAM; PASSOS JUNIOR, LEANDRO APARECIDO; CARVALHO, TIAGO; REZENDE, EDMAR; ALIAHMAD, BEHZAD; PAPA, JOAO PAULO; KUMAR, DINESH KANT. Exudate detection in fundus images using deeply-learnable features. COMPUTERS IN BIOLOGY AND MEDICINE, v. 104, p. 62-69, JAN 2019. Web of Science Citations: 3.
VARGAS-MUNOZ, JOHN E.; LOBRY, SYLVAIN; FALCAO, ALEXANDRE X.; TUIA, DEVIS. Correcting rural building annotations in OpenStreetMap using convolutional neural networks. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 147, p. 283-293, JAN 2019. Web of Science Citations: 2.
IWASHITA, ADRIANA SAYURI; PAPA, JOAO PAULO. An Overview on Concepts Drift Learning. IEEE ACCESS, v. 7, p. 1532-1547, 2019. Web of Science Citations: 0.
ROBERTO E SOUZA, MARCOS; RODRIGUES DA FONSECA, LUIZ FERNANDO; PEDRINI, HELIO. Improvement of global motion estimation in two-dimensional digital video stabilisation methods. IET IMAGE PROCESSING, v. 12, n. 12, p. 2204-2211, DEC 2018. Web of Science Citations: 0.
PAPA, JOAO P.; ROSA, GUSTAVO H.; DE SOUZA, ANDRE N.; AFONSO, LUIS C. S. Feature selection through binary brain storm optimization. COMPUTERS & ELECTRICAL ENGINEERING, v. 72, p. 468-481, NOV 2018. Web of Science Citations: 2.
AMORIM, WILLIAN P.; FALCAO, ALEXANDRE X.; PAPA, JOAO P. Multi-label semi-supervised classification through optimum-path forest. INFORMATION SCIENCES, v. 465, p. 86-104, OCT 2018. Web of Science Citations: 3.
ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. Web of Science Citations: 0.
RAUBER, PAULO E.; FALCAO, ALEXANDRE X.; TELEA, ALEXANDRU C. Projections as visual aids for classification system design. INFORMATION VISUALIZATION, v. 17, n. 4, p. 282-305, OCT 2018. Web of Science Citations: 5.
DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-S. Handling dropout probability estimation in convolution neural networks using meta-heuristics. SOFT COMPUTING, v. 22, n. 18, SI, p. 6147-6156, SEP 2018. Web of Science Citations: 0.
NOGUEIRA, KEILLER; FADEL, SAMUEL G.; DOURADO, ICARO C.; WERNECK, RAFAEL DE O.; MUNOZ, V, JAVIER A.; PENATTI, OTAVIO A. B.; CALUMBY, RODRIGO T.; LI, LIN TZY; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, v. 15, n. 9, p. 1446-1450, SEP 2018. Web of Science Citations: 6.
PASSOS, JR., LEANDRO APARECIDO; PAPA, JOAO PAULO. Temperature-Based Deep Boltzmann Machines. NEURAL PROCESSING LETTERS, v. 48, n. 1, p. 95-107, AUG 2018. Web of Science Citations: 1.
AMORIM, PAULO; MORAES, THIAGO; FAZANARO, DALTON; SILVA, JORGE; PEDRINI, HELIO. Shearlet and contourlet transforms for analysis of electrocardiogram signals. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 161, p. 125-132, JUL 2018. Web of Science Citations: 4.
MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. Web of Science Citations: 2.
PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; FORKERT, NILS DANIEL. Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images. IEEE Transactions on Biomedical Engineering, v. 65, n. 7, p. 1486-1494, JUL 2018. Web of Science Citations: 1.
SOUZA, LUIZ; OLIVEIRA, LUCIANO; PAMPLONA, MAURICIO; PAPA, JOAO. How far did we get in face spoofing detection?. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 72, p. 368-381, JUN 2018. Web of Science Citations: 1.
SOUZA, MARCOS R.; PEDRINI, HELIO. Digital video stabilization based on adaptive camera trajectory smoothing. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, MAY 30 2018. Web of Science Citations: 1.
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PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; ROSA, GUSTAVO H.; ALBUQUERQUE, VICTOR H. C.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO P. Handwritten dynamics dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 87, p. 67-77, MAY 2018. Web of Science Citations: 13.
PEREIRA, DANILLO ROBERTO; PAPA, JOAO PAULO; ROSALIN SARAIVA, GUSTAVO FRANCISCO; SOUZA, GUSTAVO MAIA. Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 145, p. 35-42, FEB 2018. Web of Science Citations: 5.
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ALYASSERI, ZAID ABDI ALKAREEM; KHADER, AHAMAD TAJUDIN; AL-BETAR, MOHAMMED AZMI; PAPA, JOAO P.; ALOMARI, OSAMA AHMAD. EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. IEEE ACCESS, v. 6, p. 76007-76024, 2018. Web of Science Citations: 3.
CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. Web of Science Citations: 2.
DA SILVA, EDUARDO SANT'ANA; SANTOS, ANDERSON; PEDRINI, HELIO. METRICS FOR IMAGE SURFACE APPROXIMATION BASED ON TRIANGULAR MESHES. IMAGE ANALYSIS & STEREOLOGY, v. 37, n. 1, p. 71-82, 2018. Web of Science Citations: 0.
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RODRIGUES, DOUGLAS; PAPA, JOAO P.; ADELI, HOJJAT. Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. EXPERT SYSTEMS, v. 34, n. 6 DEC 2017. Web of Science Citations: 2.
PAPA, JOAO PAULO; ROSA, GUSTAVO H.; PEREIRA, DANILLO R.; YANG, XIN-SHE. Quaternion-based Deep Belief Networks fine-tuning. APPLIED SOFT COMPUTING, v. 60, p. 328-335, NOV 2017. Web of Science Citations: 4.
RAMIREZ CORNEJO, JADISHA YARIF; PEDRINI, HELIO; MACHADO-LIMA, ARIANE; DOS SANTOS NUNES, FATIMA DE LOURDES. Down syndrome detection based on facial features using a geometric descriptor. JOURNAL OF MEDICAL IMAGING, v. 4, n. 4 OCT 2017. Web of Science Citations: 0.
ALMEIDA, ALEXANDRE E.; TORRES, RICARDO DA S. Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 9, p. 1499-1503, SEP 2017. Web of Science Citations: 3.
ALCANTARA, MARLON F.; PEDRINI, HELIO; CAO, YU. Human Action Classification Based on Silhouette Indexed Interest Points for Multiple Domains. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, v. 17, n. 3 JUL 2017. Web of Science Citations: 1.
PEREIRA, DANILLO R.; PISANI, RODRIGO J.; DE SOUZA, ANDRE N.; PAPA, JOAO P. An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 10, n. 4, p. 1525-1541, APR 2017. Web of Science Citations: 0.
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Please report errors in scientific publications list by writing to: cdi@fapesp.br.