Building of symbolic hierarchical graphs for feature extraction

  • Authors:
  • Mickaël Melki;Jean-Michel Jolion

  • Affiliations:
  • Lyon Research Center for Images and Information Systems, INSA Lyon, Villeurbanne Cedex, France;Lyon Research Center for Images and Information Systems, INSA Lyon, Villeurbanne Cedex, France

  • Venue:
  • GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a new approach for feature extraction based on symbolic hierarchical graphs. We will focus on the construction model, which uses simple rules considering both the graph's structure and the symbols stored in each node. We will also consider some trends to dynamically modify those rules in order to implement a learning process or to be able to adapt the rules to one given problem or to the input image.