Intelligent image characterization

Author

Ribeiro, Eduardo F. ; Barcelos, Celia A Z ; Batista, Marcos A.

Author_Institution

Univ. Fed. de Uberlandia, Uberlandia

fYear

2008

fDate

25-28 June 2008

Firstpage

209

Lastpage

212

Abstract

This work presents a new image characterization through an intelligent mechanism via neural networks. The goal of a neural network is to represent the high-level semantic concepts and the knowledge through a pre-defined set of images. As a consequence of this low-level into high-level feature transformation there is a semantic gap reduction between the human perception and the automatic feature extraction. The experimental results show the effective performance of the proposed technique.

Keywords

feature extraction; image processing; neural nets; automatic feature extraction; high-level feature transformation; high-level semantic concepts; human perception; intelligent image characterization; neural networks; semantic gap reduction; Biological neural networks; Data mining; Electronic mail; Feature extraction; Humans; Image retrieval; Intelligent networks; Machine learning; Neural networks; Shape; high-level concepts; image characterization; intelligent image retrieval; low-level features; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on

Conference_Location

Bratislava

Print_ISBN

978-80-227-2856-0

Electronic_ISBN

978-80-227-2880-5

Type

conf

DOI

10.1109/IWSSIP.2008.4604404

Filename

4604404