1. Summary

Hierarchical Atrributed Relational Graph is a graph structure as image representation model that integrates both regional and spatial information of imagery.

2. Application of Hierarchical Attributed Relational Graph to Image Retrieval

3. Related topics

4. References (Complete List)

  1. Asanobu KITAMOTO, "Similarity-Based Image Retrieval Using a Graph Structure Representing Regional and Spatial Information", Doctoral Dissertation, Department of Electronic Engineering, Faculty of Engineering, University of Tokyo, 1997-03 (in Japanese) [ Abstract ]
  2. Asanobu KITAMOTO, "Similarity Retrieval of Natural Images by Integrating Spatial and Shape Information", Master's Thesis, Department of Electronic Engineering, Faculty of Engineering, University of Tokyo, 1994-03 [ Abstract ]
  3. Asanobu KITAMOTO, Mikio TAKAGI, "Fast Matching of Hierarchical Attributed Relational Graphs for an Application to Similarity-Based Image Retrieval", Meeting on Image Recognition and Understanding (MIRU'96), Vol. II, pp. 331-336, 1996-07 (in Japanese) [ Abstract ] [ PDF ]
  4. Asanobu KITAMOTO, Mikio TAKAGI, "Retrieval of Satellite Cloud Imagery Based on Subjective Similarity", Proceedings of the 9th Scandinavian Conference on Image Analysis (SCIA'95), pp. 449-456, 1995-06 [ Abstract ] [ PDF ]