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AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?

Processo: 14/12236-1
Modalidade de apoio:Auxílio à Pesquisa - Temático
Vigência: 01 de fevereiro de 2017 - 31 de janeiro de 2023
Área do conhecimento:Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
Pesquisador responsável:Alexandre Xavier Falcão
Beneficiário:Alexandre Xavier Falcão
Instituição Sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brasil
Pesquisadores principais:
( Últimos )		Jancarlo Ferreira Gomes ; João Paulo Papa ; Katia Denise Saraiva Bresciani ; Marcelo Finger
Pesquisadores principais:
( Antigos )		Luis Gustavo Nonato
Pesquisadores associados: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
Auxílios(s) vinculado(s):19/08759-2 - Algoritmos eficientes para a otimização da norma-máximo em análise de imagem e visão computacional, AP.R SPRINT
20/06443-5 - Estudo Spira: sistema de detecção precoce de insuficiência respiratória por meio de análise de áudio, AP.R
19/17096-7 - Criptosporidium spp.: análises de imagens, moleculares e do microbioma intestinal, AV.EXT
 + mais auxílios vinculados 19/06533-7 - Aprendizado adversarial para o diagnóstico assistido de câncer por computador, AP.R SPRINT
19/17094-4 - 2019 IEEE International Conference on Image Processing, AR.EXT
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18/11100-0 - 30th Canadian Conference on Computational Geometry, AR.EXT
17/05522-6 - 50th Annual International Symposium of Circuits and Systems, AR.EXT - menos auxílios vinculados
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21/06545-5 - Seleção de imagens para anotação interativa com auxílio da projeção do espaço de características, BP.IC
20/16092-5 - Ajuste de redes neurais prototípicas utilizando metaheurísticas, BP.IC
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17/10537-2 - PyOPF: classicação de padrões por florestas de caminhos ótimos em Python, BP.IC
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Assunto(s):Inteligência artificial  Reconhecimento de padrões  Reconhecimento de imagem  Análise de dados  Classificação de dados  Diagnóstico por imagem  Aprendizado computacional  Processamento de imagem assistida por computador 
Palavra(s)-Chave do Pesquisador:Análise Visual de Dados | Aprendizado Ativo de Classificadores de Padrões | Aprendizado de Características de Imagem | Automatização do Diagnóstico de Parasitos Gastrintestinais | Reconhecimento de padrões em imagem | Segmentação e Classificação de Imagem | Processamento de Imagem

Resumo

Em muitas áreas das Ciências e Engenharia, imagens fornecem informações sobre problemas reais e a associação por uma máquina de um ou mais rótulos por imagem (anotação), com base nessas informações, conduz a uma decisão sobre o problema. No entanto, o aprendizado de máquina requer que o conteúdo de interesse, denominado amostra, seja manualmente isolado e identificado (rotulado) em imagens de treinamento. À medida que as imagens e amostras por imagem não rotuladas crescem em número, a anotação manual delas se torna inviável, nos conduzindo às seguintes questões: Qual é a forma mais intuitiva dos especialistas ensinarem às máquinas a anotar imagens? Quais são as tarefas e desafios envolvidos neste processo? Como minimizar o esforço do especialista com máxima eficácia no aprendizado de máquina? O que máquinas e especialistas podem aprender interagindo? Este projeto temático visa encontrar respostas para estas questões por meio do estudo e desenvolvimento de métodos para anotação de imagem em larga escala, e construção de sistemas de tomada de decisão (sem a participação do usuário) e de sistemas de apoio à decisão, onde especialistas e máquinas cooperam e aprendem uns com os outros continuamente. A metodologia explora as habilidades complementares dos seres humanos, melhores em abstrair o conhecimento, e máquinas, superiores no processamento de dados em larga escala, de modo repetitivo e sem fadiga. O problema é dividido em duas etapas: extração de amostras das imagens e aprendizado interativo de máquina, visando a construção de uma sequência de operações para anotar novas imagens automaticamente ou com o mínimo de intervenção humana. O estudo busca combinar características de imagem obtidas dos dados com características provenientes do conhecimento sobre a aplicação. O projeto visa ainda inovações científicas e tecnológicas para o diagnóstico de parasitos gastrintestinais em humanos e animais vertebrados, por meio da aquisição e anotação automatizadas de imagens microscópicas, e para demonstrar a extensão dos métodos em outros domínios, o projeto inclui estudos de anotação de imagem médica por modelos de forma multi-objeto, e anotação interativa de imagem de sensoriamento remoto. (AU)

Matéria(s) publicada(s) na Agência FAPESP sobre o auxílio:
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Publicações científicas (119)
(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)
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, . (14/16250-9, 13/20387-7, 14/12236-1)
WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, n. 1, p. 59-76, . (16/18429-1, 15/19222-9, 13/50155-0, 14/12236-1, 13/50169-1)
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, . (14/12236-1, 15/12228-1)
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, . (13/07375-0, 17/02286-0, 16/19403-6, 14/12236-1, 17/22905-6, 13/08645-0)
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, . (13/07375-0, 14/12236-1, 16/19403-6)
PAPA, JOAO PAULO; ROSA, GUSTAVO HENRIQUE; PAPA, LUCIENE PATRICI. A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. PATTERN RECOGNITION LETTERS, v. 100, p. 59-66, . (13/07375-0, 14/16250-9, 16/19403-6, 10/15566-1, 14/12236-1, 15/25739-4)
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, . (13/07375-0, 14/16250-9, 14/12236-1, 16/19403-6)
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, . (14/16250-9, 14/12236-1, 13/07375-0, 15/25739-4, 16/21243-7)
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, . (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 17/12646-3, 13/50155-0, 15/24494-8)
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, . (14/12236-1)
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)
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)
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)
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, . (14/12236-1, 17/05522-6)
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, . (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)
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, . (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 17/12646-3, 13/50169-1)
SILVA, FERNANDA B.; WERNECK, RAFAEL DE O.; GOLDENSTEIN, SIOME; TABBONE, SALVATORE; TORRES, RICARDO DA S.. Graph-based bag-of-words for classification. PATTERN RECOGNITION, v. 74, p. 266-285, . (16/18429-1, 12/50468-6, 13/11378-4, 13/50155-0, 14/12236-1, 12/16172-2, 13/50169-1)
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)
ROBERTO E SOUZA, MARCOS; PEDRINI, HELIO. Motion energy image for evaluation of video stabilization. VISUAL COMPUTER, v. 35, n. 12, p. 1769-1781, . (17/12646-3, 14/12236-1)
DE SOUZA, RENATO WILLIAM R.; DE OLIVEIRA, JOAO VITOR CHAVES; PASSOS, JR., LEANDRO A.; DING, WEIPING; PAPA, JOAO P.; DE ALBUQUERQUE, VICTOR HUGO C.. A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE TRANSACTIONS ON FUZZY SYSTEMS, v. 28, n. 12, p. 3076-3086, . (13/07375-0, 17/25908-6, 18/21934-5, 16/19403-6, 14/12236-1)
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)
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, . (15/24494-8, 14/50715-9, 14/12236-1, 13/50155-0)
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, . (14/12236-1, 13/07375-0, 16/19403-6)
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, . (14/12236-1)
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, . (14/50715-9, 16/26170-8, 18/06918-3, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 13/50169-1)
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)
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)
PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, . (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)
OSAKU, D.; CUBA, C. F.; SUZUKI, C. T. N.; GOMES, J. F.; FALCAO, A. X.. Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits. COMPUTERS IN BIOLOGY AND MEDICINE, v. 123, . (14/12236-1, 17/12974-0)
GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S.. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, . (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)
PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, n. B, . (13/07375-0, 14/12236-1, 16/19403-6)
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)
RIBEIRO, LUIZ C. F.; AFONSO, LUIS C. S.; COLOMBO, DANILO; GUILHERME, IVAN R.; PAPA, JOAO P.. Evolving Neural Conditional Random Fields for drilling report classification. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, v. 187, . (14/12236-1, 13/07375-0, 16/19403-6)
PISANI, FLAVIA; PASCOTTI VALEM, LUCAS; GUIMARAES PEDRONETTE, DANIEL CARLOS; DA S. TORRES, RICARDO; BORIN, EDSON; BRETERNITZ, MAURICIO. A unified model for accelerating unsupervised iterative re-ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, n. 14, . (14/50715-9, 13/50169-1, 14/12236-1, 13/08645-0, 13/50155-0, 15/24494-8)
BEJAR, HANS H. C.; FERZOLI GUIMARAES, SILVIO JAMIL; MIRANDA, V, PAULO A.. Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts. PATTERN RECOGNITION LETTERS, v. 131, p. 185-192, . (14/12236-1, 16/21591-5)
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, . (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)
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SEGUNDO, MAURICIO PAMPLONA; PINTO, ALLAN; MINETTO, RODRIGO; TORRES, RICARDO DA SILVA; SARKAR, SUDEEP. Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 14, p. 7213-7224, . (19/22262-3, 16/50250-1, 14/12236-1, 15/24494-8, 19/16253-1, 19/17729-0)
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