Flores Pulido, Leticia - Resumen - Data segmentation modeling for visual information retrieval systems Report as inadecuate




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Flores Pulido, Leticia - Resumen - Data segmentation modeling for visual information retrieval systems -- Doctorado en Ciencias de la Computación. - Departamento de Computación, Electrónica y Mecatrónica. - Escuela de Ingeniería, - Universidad de las Américas Puebla.


Teaser



L IST OF TABLES 0.6 A BSTRACT The main topic of this research is the implementation of a mathematical approach for visual information retrieval (VIR) systems.
The purpose of this research is the creation of a model design to predict behaviors in VIR systems to establish relations between elements that deal with VIR systems.
A direct method is tested with a subspace arrangement approach.
A radial basis function (RBF) is tested as similarity metric and the General Principal Component Analysis (GPCA) is modified inside its segmentation process. The implementation of this mathematical model is to built of a corpus image selection, an appropriate descriptor method, a segmentation approach and a similarity metric process. These are called VIR elements.
The goal of this research is to found a mathematical formalism to explain how all the previously mentioned items can be relation between and then to make predictions about behavior inside a VIR system. Initially, four corpus of data are tested, the descriptor of RGB colors is implemented to obtain a three dimensional description of image data.
Then a selection of radial basis function is used to implement a similarity metric.
A visual image retrieval system is sketched obtaining a model of predictions that can be detected improving design of future VIR systems. Several versions of GPCA were tested to select the best algorithm which achieve the highest segmentation of image set.
A variation of Robust general principal component analysis with multivariate timming (RGPCA-MVT) were carried out to improve the percentage of successful segmentation.
A radial basis function is implemented in the retrieval process of the VIR system. Experimentations with COIL collections successfully retrieve an 88 % of queries.
An improvement is obtained in the RGPCA-MVT with RBF (radial basis function) basis.
The detection of ambiguity items to implement a VIR system can be achieved tested another kind of feature extraction methods.
The Gut...





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