Title :
A shape descriptor based on symbolic data analysis
Author :
De Almeida, Carlos Wilson D. ; de Souza, Renata M. C. R. ; Candeias, Ana Lucia B.
Author_Institution :
Center of Inf. (CIn), Fed. Univ. of Pernambuco, Recife, Brazil
Abstract :
This article presents a new method for shape description suitable to be used as a solution to the retrieval problem in large image collections. The proposed approach, called Multiscale Symbolic Data Descriptor (MSDD) combines multiscale methods with Symbolic Data Analysis. The contour convexities and concavities at different scale levels are represented using a two-dimensional matrix from which we extract Symbolic Data in order to have a compact and efficient representation of the image in terms of computational resources.
Keywords :
data analysis; image retrieval; shape recognition; MSDD; contour concavities; contour convexities; image collections; multiscale symbolic data descriptor; retrieval problem; shape descriptor; symbolic data analysis; two-dimensional matrix; Cascading style sheets; Complexity theory; Data analysis; Data mining; Feature extraction; Shape; Vectors;
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-6128-6
DOI :
10.1109/IJCNN.2013.6707064
