Hélio Pedrini
CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
Hélio Pedrini received a Ph.D. degree in Electrical and Computer Engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 2000. He received his M.Sc. degree in Electrical Engineering from the University of Campinas, Brazil, in 1994, and his B.Sc. degree in Computer Science from the University of Campinas, Brazil, in 1986. He is currently a professor in the Institute of Computing at the University of Campinas, Brazil. He was a visiting scholar at the following institutions: in the Digital Imaging Research Centre at Kingston University, London, United Kingdom, from December 2014 to February 2015; in the Centre for Intelligent Machines at McGill University, Montreal, Canada, from December 2013 to February 2014; in the Department of Computer Science at the University of California, Davis, USA, from September 2005 to August 2006. Some recent coordinating activities include: Coordinator of Undergraduate Computer Engineering Course from July 2014 to June 2015, Associate Coordinator of Undergraduate Computer Engineering Course from July 2013 to June 2014, Coordinator of Undergraduate Computer Science Course from July 2011 to June 2013, Associate Coordinator of Undergraduate Computer Science Course from July 2009 to June 2011, and Coordinator of Visual Informatics Laboratory from 2009 to 2011. He has received financial support for research projects from a number of funding agencies. He has served as a member of technical committee and reviewer for several conferences and journals. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and of the Brazilian Computer Society (SBC). His research interests include image processing, computer vision, pattern recognition, machine learning, computational geometry, geometric modeling, computer graphics, scientific visualization. (Source: Lattes Curriculum)
- Visual cryptography using FPGA for authentication in online transactions, AP.PITE
Abstract
Information security is one of main factors for banking sector. Thus, achieving a high security level is essential for customers and stakeholders when using online banking services. As a result, information security is one of major concerns for any bank, especially for e-banking systems. Recently the number of attacks and malicious applications targeting e-banking transactions has signi...
- Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events, AP.TEM
Abstract
In this research project, we focus on synchronizing specific events in space and time (X-coherence), fact-checking, and mining persons, objects and contents of interest from various and heterogeneous sources including - but not limited to - the internet, social media and surveillance imagery. For that, we seek to harness information from various media sources and synchronize the multipl...
- Challenges in exploratory visualization of multidimensional data: paradigms, scalability and applications, AP.TEM
Abstract
This project aims at developing new techniques and paradigms toward contributing to the progress of scientific and abstract data visualization, having as main focus the processing and handling of high-dimensional, multimodal time-varying data. The new visual paradigms to be developed should create visual metaphors from multidimensional projection and phylogenetic trees, allowing for und...
- Spatial dependence modeled by Markov random fields for image analysis, AP.R
Abstract
The main purpose of this project, in the context of Image Processing and Computer Vision fields, is the investigation and improvement of digital image analysis techniques in multiple resolutions using texture, color and shape features of the objects present in the images. The analysis process is based on spatial dependence of the image components modeled by Markov random fields. The pro...
- Human Action Recognition in Videos, BP.DR
Abstract
The purpose of this document is to present our doctoral thesis proposal for detecting and identifying human actions in video sequences based on the combination of computer vision, image processing and machine learning techniques. The problem of human action recognition can be applied to a large variety of tasks, such as surveillance systems, intelligent homes, health monitoring, and hum...
- Network model for crime forecasting, BP.DR
Abstract
The earliest studies in the Science of Criminology are attributed to the late nineteenth century. Over the decades, Criminology has witnessed its sociological essence encompassing practices from other areas of knowledge, characterizing itself as an inherently interdisciplinary science from the beginning. The adoption of concepts of the Exact Sciences in investigations in Criminology pre...
- Activity recognition from videos, BP.DR
Abstract
Activity recognition is a growing area and has wide applications, including monitoring, people aiding and human-computer interface. The literature in the field is mainly composed by works that aim to obtain information from different sources and categories, and perform learning by joining them. Activity context is thereby obtained. Many works focus on very specific applications, using t...
- Active appearance model applied to emotion recognition through partially occluded facial expression, BP.IC
Abstract
Facial expressions are an important demonstration of human's humours and emotions. Algorithms capable of recognizing facial expressions and associate them to emotions become useful for many applications and the Machine Learning approach shows to be efficient in solving this challenge, which becomes even more difficult when facial regions are occluded. An Active Appearance Model must be ...
- Flexible-Context activity identification on surveillance cameras, BP.DR
Abstract
Surveillance systems are used in several application areas, whose specificities make modeling and implementation complex tasks. Surveillance systems can be classified regarding the use of technology or operation mode. Automatic action and activity identification is one of the alternatives to be used in surveillance systems. While the identification of actions seeks to determine subject ...
(Only some records are available in English at this moment)
- Network model for crime forecasting, BE.EP.DR
Abstract
The theories about crime and correction have their inception in the eighteenth century, highly influenced by the anthropological thoughts emerging during the age of Enlightenment. Throughout the decades, the criminological studies observed their sociological essence encompassing practices from other scientific fields to explain the more contemporary questions, becoming Criminology there...
- Detection and recognition of complex events in videos, BE.PQ
Abstract
This document describes the research plan to be conducted during the post-doctoral internship at Simon Fraser University in Vancouver, Canada. The research topic, inserted in the areas of Computer Vision, Image Processing and Machine Learning, focuses primarily on research and the improvement of techniques for the recognition of complex events in videos such as actions, activities, anom...
- Image analysis using morse theory and homological persistence, BE.EP.DR
Abstract
Even though topology has a long history of research and is the fundamental mathematics of shapes, difficulties arise when its concepts are applied to real situations. However, new researches considering topological concepts have been explored in the last decade. Among the new developments, persistent homology has effective applications on computer vision and image processing. Persistent...
| 2 / 2 | Ongoing research grants |
| 2 / 2 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 9 / 9 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 2 / 2 | Completed scholarships abroad |
| 18 / 18 | All research grants and scholarships |
| Associated processes | |
(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)
| Publications | 10 |
| Citations | 110 |
| Cit./Article | 11.0 |
| Data from Web of Science | |
MAXIMIANO DA SILVA, FLAVIO ALTINIER; PEDRINI, HELIO. Effects of cultural characteristics on building an emotion classifier through facial expression analysis. JOURNAL OF ELECTRONIC IMAGING, v. 24, n. 2, MAR-APR 2015. Web of Science Citations: 4. (11/22749-8, 14/04020-9)
SCHWARTZ, WILLIAM ROBSON; DE SIQUEIRA, FERNANDO ROBERTI; PEDRINI, HELIO. Evaluation of feature descriptors for texture classification. JOURNAL OF ELECTRONIC IMAGING, v. 21, n. 2, APR-JUN 2012. Web of Science Citations: 9. (10/10618-3)
TOKUDA, ERIC; PEDRINI, HELIO; ROCHA, ANDERSON. Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 24, n. 8, p. 1276-1292, NOV 2013. Web of Science Citations: 11. (11/22749-8, 10/13745-6, 10/05647-4)
DA SILVA, RICARDO DUTRA; MINETTO, RODRIGO; SCHWARTZ, WILLIAM ROBSON; PEDRINI, HELIO. Adaptive edge-preserving image denoising using wavelet transforms. PATTERN ANALYSIS AND APPLICATIONS, v. 16, n. 4, p. 567-580, NOV 2013. Web of Science Citations: 21. (10/10618-3)
SCHWARTZ, WILLIAM ROBSON; GUO, HUIMIN; CHOI, JONGHYUN; DAVIS, LARRY S.. Face Identification Using Large Feature Sets. IEEE Transactions on Image Processing, v. 21, n. 4, p. 2245-2255, APR 2012. Web of Science Citations: 54. (10/10618-3)
DE MORAES, THIAGO F.; AMORIM, PAULO H. J.; DA SILVA, JORGE V. L.; PEDRINI, HELIO. Isosurface rendering of medical images improved by automatic texture mapping. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, v. 6, n. 4, SI, p. 379-385, 2018. Web of Science Citations: 0. (15/12228-1, 11/22749-8)
MUSSEL CIRNE, MARCOS VINICIUS; PEDRINI, HELIO. VISCOM: A robust video summarization approach using color co-occurrence matrices. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 1, p. 857-875, JAN 2018. Web of Science Citations: 4. (15/12228-1)
DE ALCANTARA, MARLON FERNANDES; MOREIRA, THIERRY PINHEIRO; PEDRINI, HELIO; FLOREZ-REVUELTA, FRANCISCO. Action identification using a descriptor with autonomous fragments in a multilevel prediction scheme. SIGNAL IMAGE AND VIDEO PROCESSING, v. 11, n. 2, p. 325-332, FEB 2017. Web of Science Citations: 4. (11/22749-8, 12/20738-1)
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, JUL 2017. Web of Science Citations: 1. (14/12236-1, 15/12228-1)
BALABANIAN, FELIPE; SANT'ANA DA SILVA, EDUARDO; PEDRINI, HELIO. Image Thresholding Improved by Global Optimization Methods. APPLIED ARTIFICIAL INTELLIGENCE, v. 31, n. 3, p. 197-208, 2017. Web of Science Citations: 2. (15/12228-1)
(References retrieved automatically from State of São Paulo Research Institutions)
LIMA, Vitor de. Codificação de vídeo baseada em fractais e representações esparsas. 2012. Dissertação (Mestrado) - Instituto de Computação. Universidade Estadual de Campinas (UNICAMP). (10/02910-6)
TOKUDA, Eric Keiji. Projeto e desenvolvimento de técnicas forenses para identificação de imagens sintéticas. 2012. Dissertação (Mestrado) - Instituto de Computação. Universidade Estadual de Campinas (UNICAMP). (10/13745-6)
SILVA, Ricardo Dutra da. Discrete Morse complex of images : algorithms, modeling and applications = Complexo discreto de Morse para imagens: algoritmos, modelagem e aplicações. 2013. Tese (Doutorado) – Instituto de Computação. Universidade Estadual de Campinas (UNICAMP). (09/10627-5)
ALCANTARA, Marlon Fernandes de. Identificação de ações humanas em vídeos utilizando descritor de fragmentos autônomos e predição multinível. 2015. Tese (Doutorado) – Instituto de Computação. Universidade Estadual de Campinas. (12/20738-1)
MOREIRA, Thierry Pinheiro. Video action recognition based on fusion of visual rhythm representations : Reconhecimento de ações em vídeos baseado na fusão de representações de ritmos visuais. 2018. Tese (Doutorado) – Universidade Estadual de Campinas, Instituto de Computação. (15/03156-7)