Perceptive Visual Texture Classification and Retrieval

Authors:
S. Battiato;G. Gallo;S. Nicotra
Affiliations:
-;-;-
Venue:
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Year:
2003

Citing 0
Cited 4

Characterizing Multimedia Objects through Multimodal Content Analysis and Fuzzy Fingerprints

Advanced Internet Based Systems and Applications
Content-based image retrieval methods

Programming and Computing Software
A fuzzy mapping from image texture to affective thesaurus

LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
A multiresolution approach for rotation invariant texture image retrieval with orthogonal polynomials model

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of this research is to provide a visual system that starting from graphical cues representing relevant perceptual features of texture, interactively searches the most similar texture in the set of candidates in the correspondent texture space.A set of perceptual relevant features, used for indexing is hence proposed: directionality, contrast and coarseness. A graphical representation of the computed characteristics is presented together with some examples. Finally experiments of texture retrieval using such iconic representation are presented and discussed.