escolha a categoria

Informações Gerais 

I Workshop em Tratamento de Imagens
08 de Junho de 2000
Belo Horizonte, Minas Gerais, Brasil

UFMG - Universidade Federal de Minas Gerais
DCC - Departamento de Ciência da Computação
NPDI - Núcleo de Processamento Digital de Imagens


DCC/UFMG, Pós-Graduação - DCC/UFMG, Vist@erea

Comissão Organizadora:
Arnaldo de Albuquerque Araújo
Bernardo Moreira de Faria
Eduardo Alves do Valle Jr.
Silvio Jamil Ferzoli Guimarães

Arnaldo de Albuquerque Araújo
Silvio Jamil Ferzoli Guimarães
Bernardo Moreira Faria

Indexing High-Dimensional Data - Application to CBIR 

Presenter: Eduardo Alves do Valle Júnior (UFMG)
Date: 04/08/2009


The troubles of multimedia information retrieval start at its most elementary operation : matching the high-dimensional feature vectors used to describe the data. In this talk, we will discuss how recent innovative methods are taming the infamous "curse of dimensionality" and how they can be used in CBIR. The author will discuss his recent contributions to the advance of the state-of-art and his current research endeavours.

Content-based Image Retrieval of Mammographies Using the IRMA Database 

Presenter: Júlia Epischina Engrácia Oliveira (UFMG)
Date: 04/08/2009


This work aims at developing a content-based image retrieval (CBIR) system for mammographies using as pattern the breast density. The database used, from the IRMA project, provides images with the ground truth already set, in a way to facilitate the evaluation of the proposed system. This work focuses on the breast density characterization through the texture representation together with the reduction of the dimensionality of the feature vector. Two methods are proposed: MammoSVD (using the singular value decomposition - SVD) and MammoPCA (using the two dimensional principal component analysis - 2DPCA). Support vector machine (SVM) is used for the retrieval task.

OpenMoCap: An Open Source Software for Optical Motion Capture 

Presenter: David Lunardi Flam (UFMG)
Date: 04/08/2009


This work presents the actual development stage of an open source software for motion capture, based on computer image analysis techniques. The code is being written in C++, with OpenCV and QT libraries, aiming real time applications. Currently, we have almost completed the full pipeline for motion capture with markers and now working on the final step, which is direct 3d metric reconstruction. We are testing the architecture using Natural Point’s V100 cameras with infrared LEDs and retroreflective balls. Future steps include comparison of our system with commercial tracking tools and output moCap data in BVH format. Also, we are modeling a short film that will be animated using OpenMoCap.

Watershed and Image Restoration 

Presenter: André Vital Saúde (UFLA)
Date: 04/08/2009


Image restoration has been frequently treated as a global optimization problem. Usually, the restored image is a function that minimizes the global energy that models the noise. One solution available in the literature is to reduce the energy minimization problem to the problem of finding a minimal cut in a graph, which is a classical problem. After a fine analysis of the minimal cut solution, we propose some greedy assumptions in order to treat the problem as a local optimization problem, and in consequence to obtain a fast algorithm that computes an aproximation of the global minimum. With such greedy assumptions, the image restoration could be computed by watershed-like algorithms. This work is under research. The aim is to share this experience with the colleagues as a way to get feedback about the solution we propose.


Núcleo de Processamento Digital de Imagens.
Departamento de Ciência da Computação.
Instituto de Ciências Exatas.
Universidade Federal de Minas Gerais



Av. Antônio Carlos 6627 - ICEx - sl. 3055
Pampulha - CEP 31270-010
Belo Horizonte - Minas Gerais - Brasil.

Telefone (31) 3409-5854