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Large-scale classification and retrieval for complex data

Abstract

The exponential growth of digital information production and accumulation, as well as its huge diversification, present considerable management and access challenges. At the same time, new opportunities are created by the application of analysis methods for the discovery of interesting and potentially useful patterns, latent in the data sets. In this context, recently, we have created the ReCOD Laboratory (Reasoning for Complex Data) in the Institute of Computing at UNICAMP. Aligned with the ReCOD, we present this project as a key step for its first two years organization. The term Complex Data used in this proposal cromprises the universe of unstructured, semi-structured and multimodal data, and therefore covers a wide variety of data as text, sound, image, video, geographic information, among others. Although independent research have been developed in recent years to deal with each of these types of information, right now we are living an important convergence time and, relying on on recent work on Feature Extraction, Multidimensional Indexing, Machine Learning and Fusion of Evidences we are, more than ever, able to create a coherent framework to handle these data. Many interesting questions are still open regarding these topics, conveying opportunities for valuable research contributions. We will validate the proposed work through rigorous experiments and with large databases which will allow statistically significant evaluations. Furthermore, we will show the versatility of the proposed platform in three important applications: Multimedia Forensics, Information Retrieval and Multimedia Classification, and Remote Sensing Image Recognition. This project is part of a top priority research topic both internationally and nationally. It is aligned to one of the SBC's Grand Challenges in Computing: Information Management in Large Volumes of Distributed Multimedia Data. (AU)

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Scientific publications (22)
(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)
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.
ALBERTON, BRUNA; TORRES, RICARDO DA S.; CANCIAN, LEONARDO F.; BORGES, BRUNO D.; ALMEIDA, JURANDY; MARIANO, GREICE C.; DOS SANTOS, JEFERSSON; CERDEIRA MORELLATOA, LEONOR PATRICIA. Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation. PERSPECTIVES IN ECOLOGY AND CONSERVATION, v. 15, n. 2, p. 82-90, APR-JUN 2017. Web of Science Citations: 15.
LEITE, ROGER A.; SCHNORR, LUCAS MELLO; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.; COMBA, JOAO L. D. PhenoVis - A tool for visual phenological analysis of digital camera images using chronological percentage maps. INFORMATION SCIENCES, v. 372, p. 181-195, DEC 1 2016. Web of Science Citations: 4.
ALMEIDA, JURANDY; PEDRONETTE, DANIEL C. G.; ALBERTON, BRUNA C.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Unsupervised Distance Learning for Plant Species Identification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 9, n. 12, 1, SI, p. 5325-5338, DEC 2016. Web of Science Citations: 4.
FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Fusion of time series representations for plant recognition in phenology studies. PATTERN RECOGNITION LETTERS, v. 83, n. 2, p. 205-214, NOV 1 2016. Web of Science Citations: 7.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Phenological visual rhythms: Compact representations for fine-grained plant species identification. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 90-100, OCT 1 2016. Web of Science Citations: 13.
FARIA, FABIO A.; ALMEIDA, JURANDY; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; ROCHA, ANDERSON; TORRES, RICARDO DA S. Time series-based classifier fusion for fine-grained plant species recognition. PATTERN RECOGNITION LETTERS, v. 81, n. SI, p. 101-109, OCT 1 2016. Web of Science Citations: 5.
MARIANO, GREICE C.; MORELLATO, LEONOR PATRICIA C.; ALMEIDA, JURANDY; ALBERTON, BRUNA; DE CAMARGO, MARIA GABRIELA G.; TORRES, RICARDO DA S. Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations. ECOLOGICAL ENGINEERING, v. 91, p. 396-408, JUN 2016. Web of Science Citations: 6.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; MIRANDA, WANER O.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S. Deriving vegetation indices for phenology analysis using genetic programming. ECOLOGICAL INFORMATICS, v. 26, n. 3, p. 61-69, MAR 2015. Web of Science Citations: 11.
ALMEIDA, JURANDY; DOS SANTOS, JEFERSSON A.; ALBERTON, BRUNA; TORRES, RICARDO DA S.; MORELLATO, LEONOR PATRICIA C. Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees. ECOLOGICAL INFORMATICS, v. 23, n. SI, p. 49-61, SEP 2014. Web of Science Citations: 16.
GUIMARAES PEDRONETTE, DANIEL CARLOS; ALMEIDA, JURANDY; TORRES, RICARDO DA S. A scalable re-ranking method for content-based image retrieval. INFORMATION SCIENCES, v. 265, p. 91-104, MAY 1 2014. Web of Science Citations: 34.
CALUMBY, RODRIGO TRIPODI; TORRES, RICARDO DA SILVA; GONCALVES, MARCOS ANDRE. Multimodal retrieval with relevance feedback based on genetic programming. MULTIMEDIA TOOLS AND APPLICATIONS, v. 69, n. 3, p. 991-1019, APR 2014. Web of Science Citations: 10.
NAKAMURA, RODRIGO Y. M.; GARCIA FONSECA, LEILA MARIA; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA S.; YANG, XIN-SHE; PAPA, JOAO PAPA. Nature-Inspired Framework for Hyperspectral Band Selection. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 52, n. 4, p. 2126-2137, APR 2014. Web of Science Citations: 29.
ALMEIDA, JURANDY; LEITE, NEUCIMAR J.; TORRES, RICARDO DA S. Online video summarization on compressed domain. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 24, n. 6, SI, p. 729-738, AUG 2013. Web of Science Citations: 34.
DOS SANTOS, JEFERSSON ALEX; GOSSELIN, PHILIPPE-HENRI; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.; FALCAO, ALEXANDRE XAVIER. Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 6, n. 4, p. 2020-2034, AUG 2013. Web of Science Citations: 18.
GUIMARAES PEDRONETTE, DANIEL CARLOS; TORRES, RICARDO DA S. Exploiting pairwise recommendation and clustering strategies for image re-ranking. INFORMATION SCIENCES, v. 207, p. 19-34, NOV 10 2012. Web of Science Citations: 28.
DOS SANTOS, JEFERSSON ALEX; GOSSELIN, PHILIPPE-HENRI; PHILIPP-FOLIGUET, SYLVIE; TORRES, RICARDO DA S.; FALCAO, ALEXANDRE XAVIER. Multiscale Classification of Remote Sensing Images. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 50, n. 10, 1, p. 3764-3775, OCT 2012. Web of Science Citations: 45.
DA SILVA, ANDRE TAVARES; DOS SANTOS, JEFERSSON ALEX; FALCAO, ALEXANDRE XAVIER; TORRES, RICARDO DA S.; MAGALHAES, LEO PINI. Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning. COMPUTER VISION AND IMAGE UNDERSTANDING, v. 116, n. 4, p. 510-523, APR 2012. Web of Science Citations: 11.
ALMEIDA, JURANDY; LEITE, NEUCIMAR J.; TORRES, RICARDO DA S. VISON: Video Summarization for ONline applications. PATTERN RECOGNITION LETTERS, v. 33, n. 4, SI, p. 397-409, MAR 2012. Web of Science Citations: 59.
PENATTI, OTAVIO A. B.; VALLE, EDUARDO; TORRES, RICARDO DA S. Comparative study of global color and texture descriptors for web image retrieval. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 23, n. 2, p. 359-380, FEB 2012. Web of Science Citations: 94.
DE GOES, FERNANDO; GOLDENSTEIN, SIOME; DESBRUN, MATHIEU; VELHO, LUIZ. EXOSKELETON: Curve network abstraction for 3D shapes. COMPUTERS & GRAPHICS-UK, v. 35, n. 1, p. 112-121, FEB 2011. Web of Science Citations: 15.
FERREIRA, C. D.; SANTOS, J. A.; TORRES, R. DA S.; GONCALVES, M. A.; REZENDE, R. C.; FAN, WEIGUO. Relevance feedback based on genetic programming for image retrieval. PATTERN RECOGNITION LETTERS, v. 32, n. 1, SI, p. 27-37, JAN 1 2011. Web of Science Citations: 46.

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