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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 Opportunities:Research Projects - Thematic Grants
Duration: February 01, 2017 - January 31, 2023
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Alexandre Xavier Falcão
Grantee:Alexandre Xavier Falcão
Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Pesquisadores principais:
( Últimos )
Jancarlo Ferreira Gomes ; João Paulo Papa ; Katia Denise Saraiva Bresciani ; Marcelo Finger
Pesquisadores principais:
( Antigos )
Luis Gustavo Nonato
Associated researchers:Hélio Pedrini ; Jancarlo Ferreira Gomes ; Paulo André Vechiatto de Miranda ; Pedro Jussieu de Rezende ; Priscila Tiemi Maeda Saito ; Ricardo da Silva Torres ; SILVIO JAMIL FERZOLI GUIMARAES
Associated grant(s):19/08759-2 - Efficient algorithms for max-norm optimization in image analysis and computer vision, AP.R SPRINT
20/06443-5 - Spira: system for early-detection of respiratory insufficiency by voice audio analysis, AP.R
19/17096-7 - Criptosporidium spp.: image analysis, molecular and intestinal microbiome, AV.EXT
+ associated grants 19/06533-7 - Adversarial learning for computer-assisted cancer diagnosis, AP.R SPRINT
19/17094-4 - 2019 IEEE International Conference on Image Processing, AR.EXT
19/00585-5 - Evolutionary Generative Adversarial Networks applied to computer-assisted diabetic retinopathy diagnosis, AP.R SPRINT
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):22/13156-8 - Molecular Docking Using Graph Neural Networks, BP.IC
22/04349-7 - FECAL SAMPLES PROCESSING BY THE INTEGRATION OF THE DISSOLVED AIR FLOTATION AND AUTOMATED DIAGNOSIS OF INTESTINAL PARASITES, BP.PD
22/03754-5 - Towards detection of malignant mesothelioma from 4D magnetic resonance images of the thorax, BP.MS
+ associated scholarships 22/07877-4 - Incorporating contrastive learning in image segmentation by dynamic trees, BP.IC
21/08870-0 - Graphical tool for the interactive design of marker-based convolutional neural networks, BP.TT
21/08720-9 - Automated Diagnosis of Intestinal Parasites, BP.TT
21/05704-2 - Semi-automatic segmentation of thoracic structures in computed tomography scans, BP.IC
21/06545-5 - Interactive image selection for user annotation aided by the feature space projection, BP.IC
20/16092-5 - Fine-tuning prototypical neural networks using metaheurístics, BP.IC
19/10705-8 - Visual Active Learning guided by Feature Projections, BP.DR
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
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 Agência FAPESP Newsletter about the research grant:
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Scientific publications (296)
(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)
CORDOVA, MANUEL; PINTO, ALLAN; PEDRINI, HELIO; TORRES, RICARDO DA SILVA. Pelee-Text plus plus : A Tiny Neural Network for Scene Text Detection. IEEE ACCESS, v. 8, p. 223172-223188, . (17/20945-0, 19/17729-0, 16/50250-1, 19/22262-3, 19/16253-1, 14/12236-1, 15/24494-8)
AMORIM, WILLIAN PARAGUASSU; ROSA, GUSTAVO HENRIQUE; THOMAZELLA, ROGERIO; COGO CASTANHO, JOSE EDUARDO; LOFRANO DOTTO, FABIO ROMANO; RODRIGUES JUNIOR, OSWALDO PONS; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. Semi-supervised learning with connectivity-driven convolutional neural networks. PATTERN RECOGNITION LETTERS, v. 128, p. 16-22, . (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)
SAPUCAIA, ALLAN; DE REZENDE, PEDRO J.; DE SOUZA, CID C.; GERVASI, O; MURGANTE, B; MISRA, S; GARAU, C; BLECIC, I; TANIAR, D; APDUHAN, BO; et al. Solving the Coarseness Problem by ILP Using Column Generation. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT V, v. 12953, p. 16-pg., . (14/12236-1, 18/26434-0, 18/14883-5)
PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; YASUDA, CLARISSA L.; SOKOLSKA, MAGDALENA; JAGER, ROLF H.; FORKERT, NILS DANIEL. Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA. IEEE Transactions on Biomedical Engineering, v. 67, n. 7, p. 1936-1946, . (14/12236-1)
MOREIRA, THIERRY PINHEIRO; MENOTTI, DAVID; PEDRINI, HELIO. Video action recognition based on visual rhythm representation. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 71, p. 14-pg., . (17/12646-3, 14/12236-1, 15/03156-7)
GONCALVES DOS SANTOS, CLAUDIO FILIPI; MOREIRA, THIERRY PINHEIRO; COLOMBO, DANILO; PAPA, JOAO PAULO; NYSTROM, I; HEREDIA, YH; NUNEZ, VM. Does Pooling Really Matter? An Evaluation on Gait Recognition. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019), v. 11896, p. 10-pg., . (16/06441-7, 17/25908-6, 14/12236-1, 13/07375-0)
FALCAO, ALEXANDRE; BRAGANTINI, JORDAO; COUPRIE, M; COUSTY, J; KENMOCHI, Y; MUSTAFA, N. The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?. DISCRETE GEOMETRY FOR COMPUTER IMAGERY, DGCI 2019, v. 11414, p. 15-pg., . (14/12236-1, 18/08951-8)
BENATO, BARBARA C.; TELEA, ALEXANDRU C.; FALCAO, ALEXANDRE X.; IEEE. Semi-Supervised Learning with Interactive Label Propagation guided by Feature Space Projections. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., . (16/25776-0, 14/12236-1, 17/25327-3)
SOUSA, AZAEL MELO; CASTELO-FERNANDEZ, CESAR; OSAKU, DANIEL; BAGATIN, ERICSON; REIS, FABIANO; FALCAO, ALEXANDRE X.; IEEE. An Approach for Asbestos-related Pleural Plaque Detection. 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, v. N/A, p. 4-pg., . (14/12236-1, 17/03940-5)
FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, . (14/50715-9, 16/50250-1, 14/12236-1, 15/24494-8, 17/20945-0, 13/50155-0)
CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, . (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)
DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE Geoscience and Remote Sensing Letters, v. 17, n. 8, p. 1450-1454, . (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1)
FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, . (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)
ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, . (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)
PASSOS, LEANDRO APARECIDO S.; JODAS, DANILO S.; RIBEIRO, LUIZ C. F.; AKIO, MARCO; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. Handling imbalanced datasets through Optimum-Path Forest. KNOWLEDGE-BASED SYSTEMS, v. 242, p. 13-pg., . (18/21934-5, 14/12236-1, 20/12101-0, 19/18287-0, 19/07665-4, 17/02286-0, 13/07375-0)
SILVA, LUCAS F. A.; PEDRONETTE, DANIEL C. G.; FARIA, FABIO A.; PAPA, JOAO P.; ALMEIDA, JURANDY; IEEE COMP SOC. Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. 2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021), v. N/A, p. 8-pg., . (14/12236-1, 18/15597-6, 17/25908-6, 19/07665-4, 13/07375-0)
KUPSSINSKU, L. S.; GUIMARAES, T. T.; CARDOSO, M. D B.; BACHI, L.; ZANOTTA, D.; ESTILON DE SOUZA, I; FALCAO, A. X.; VELLOSO, R. Q.; CAZARIN, C. L.; VERONEZ, M. R.; et al. Hyperspectral data as a proxy for porosity estimation of carbonate rocks. AUSTRALIAN JOURNAL OF EARTH SCIENCES, v. 69, n. 6, p. 15-pg., . (14/12236-1)
IWASHITA, ADRIANA SAYURI; RODRIGUES, DOUGLAS; GASTALDELLO, DANILO SINKITI; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. COMPUTERS & ELECTRICAL ENGINEERING, v. 95, . (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)
MARTINS, SAMUEL BOTTER; BRAGANTINI, JORDAO; FALCAO, ALEXANDRE XAVIER; YASUDA, CLARISSA LIN. An adaptive probabilistic atlas for anomalous brain segmentation in MR images. Medical Physics, v. 46, n. 11, p. 4940-4950, . (14/12236-1, 13/07559-3, 18/08951-8)
SOUSA, AZAEL M.; MARTINS, SAMUEL B.; FALCAO, ALEXANDRE X.; REIS, FABIANO; BAGATIN, ERICSON; IRION, KLAUS. ALTIS: A fast and automatic lung and trachea CT-image segmentation method. Medical Physics, v. 46, n. 11, p. 4970-4982, . (14/12236-1)
PRETO, SANDRO; FINGER, MARCELO. Efficient representation of piecewise linear functions into Lukasiewicz logic modulo satisfiability. MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE, v. N/A, p. 26-pg., . (21/03117-2, 14/12236-1, 19/07665-4, 15/21880-4)
PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, p. 12-pg., . (13/07375-0, 16/19403-6, 14/12236-1)
CASANOVA, EDRESSON; CANDIDO JR, ARNALDO; FERNANDES JR, RICARDO CORSO; FINGER, MARCELO; STEFANEL GRIS, LUCAS RAFAEL; PONTI, MOACIR A.; PINTO DA SILVA, DANIEL PEIXOTO; INT SPEECH COMMUN ASSOC. Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. INTERSPEECH 2021, v. N/A, p. 5-pg., . (20/06443-5, 14/12236-1, 19/07665-4)
HERNANDES JUNIOR, PAULO R. GALEGO; SCHERER, RAFAL; JANUARIO, LUCAS B.; RODRIGUES, DOUGLAS; PAPA, JOAO P.; COSTA, KELTON A. P.; IEEE. From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., . (21/05516-1, 13/07375-0, 14/12236-1, 19/07665-4)
BIAGGI, LUCAS; PAPA, JOAO P.; COSTA, KELTON A. P.; PEREIRA, DANILLO R.; PASSOS, LEANDRO A.; IEEE. FEMa-FS: Finite Element Machines for Feature Selection. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 8-pg., . (21/05516-1, 17/22905-6, 13/07375-0, 16/19403-6, 14/12236-1)
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SOUSA, G. J.; PEDRONETTE, D. C. G.; BALDASSIN, A.; PRIVATTO, P. I. M.; GASETA, M.; GUILHERME, I. R.; COLOMBO CENPES, D.; AFONSO, L. C. S.; PAPA, J. P.; IEEE. Pattern Analysis in Drilling Reports using Optimum-Path Forest. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., . (13/07375-0, 16/19403-6, 14/12236-1)
DE SOUZA, LUIS A., JR.; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PAPA, JOAO P.; MENDEL, ROBERT; PALM, CHRISTOPH; IEEE. Barrett's Esophagus Identification Using Color Co-occurrence Matrices. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., . (13/07375-0, 16/19403-6, 14/12236-1)
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MARQUES JUNIOR, ADEMIR; FALCAO, ALEXANDRE XAVIER; RACOLTE, GRACIELA; MENEZES, ENIUCE; BACHI, LEONARDO; CAZARIN, CAROLINE LESSIO; GONZAGA, LUIZ, JR.; VERONEZ, MAURICIO ROBERTO. Interactive Fracture Segmentation Based on Optimum Connectivity Between Superpixels. IEEE Geoscience and Remote Sensing Letters, v. 19, p. 5-pg., . (14/12236-1)
VARGAS-MUNOZ, JOHN E.; SRIVASTAVA, SHIVANGI; TUIA, DEVIS; FALCAO, ALEXANDRE X.. OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, v. 9, n. 1, p. 16-pg., . (16/14760-5, 14/12236-1)
CARNEIRO, SARAH ALMEIDA; DA SILVA, GABRIEL PELLEGRINO; GUIMARAES, SILVIO JAMIL F.; PEDRINI, HELIO; IEEE. Fight Detection in Video Sequences Based on Multi-Stream Convolutional Neural Networks. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., . (17/12646-3, 14/12236-1)
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PASSOS, JR., LEANDRO APARECIDO; PAPA, JOAO PAULO. Temperature-Based Deep Boltzmann Machines. NEURAL PROCESSING LETTERS, v. 48, n. 1, p. 95-107, . (14/16250-9, 14/12236-1, 16/19403-6)
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, . (13/07375-0, 14/16250-9, 17/02286-0, 16/19403-6, 14/12236-1)
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, . (16/14760-5, 14/12236-1, 15/01186-6, 14/50937-1)
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DEMARIO, CAIO L.; MIRANDA, PAULO A. V.; IEEE. RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION. 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), v. N/A, p. 5-pg., . (14/12236-1, 16/21591-5)
MARTINS, SAMUEL B.; TELEA, ALEXANDRA C.; FALCAO, ALEXANDRE X.; IEEE. Extending Supervoxel-based Abnormal Brain Asymmetry Detection to the Native Image Space. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v. N/A, p. 4-pg., . (14/12236-1)
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MISTURA PARA OBTENÇÃO DE SISTEMA AQUOSO BIFÁSICO ESPECÍFICO APLICADO NA OBTENÇÃO DE ESFREGAÇO FECAL, SEU PROCESSO DE OBTENÇÃO; PROCESSO DE OBTENÇÃO DE SISTEMA AQUOSO BIFÁSICO (SAB) ESPECÍFICO E PROCESSO DE APLICAÇÃO DO SISTEMA AQUOSO BIFÁSICO (SAB) ESPECÍFICO EM EXAME PARASITOLÓGICO DE FEZES (EPF) BR102021016360-7 - Immunocamp Ciência e Tecnologia S. A ; Universidade Estadual de Campinas (UNICAMP) . Alexandre Xavier Falcão ; Jancarlo Ferreira Gomes ; Edvaldo Sabadini ; Stefany Laryssa Rosa ; Celso Tetsuo Nagase Suzuki - August 2021, 18