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| Author(s): |
Laura Elizabeth Florian Cruz
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2012-09-24 |
| Examining board members: |
Rosane Minghim;
João do Espírito Santo Batista Neto;
Marcela Xavier Ribeiro
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| Advisor: | Rosane Minghim |
| Abstract | |
In the majority of the image analysis processes there is need for a pre-processing step, in which feature vectors representative of the images are extracted and similarity methods are calculates. A difficult step in the process is to choose amongst the large number of features available, that will define a feature space of high dimensionality, impacting the cost of the subsequent processing tasks, such as visual analysis, clustering and classification. This problem is usually handled by dimension reduction of feature selection techniques. This work extends and improves previous work that employs visualization and visual analysis techniques to support evaluation of feature spaces created from image collections. The goal is to improve a previous method of feature selection through visualization to employ similarity trees via the Neighbor Joining (NJ) algorithm as the basis for the visual layout, as well as to improve the choices of the analyst regarding tools for visual selection of features. The same process can be employed to support evaluation of feature spaces using the NJ visualization. The majorities of experiments results in improvement of spaces generated by various extractors, yielding personalized selection process that are more precisely related to user\'s perspective of the data set and are perform similarly or better than automatic approaches available in the literature. Keywords: information visualization, mining, visual images, visual analysis of the feature space, similarity trees (AU) | |
| FAPESP's process: | 10/04477-8 - An Approach Based on Information Visualization Techniques for Evaluation of Feature Spaces in Imaging Applications |
| Grantee: | Laura Elizabeth Florian Cruz |
| Support Opportunities: | Scholarships in Brazil - Master |