A new framework to combine descriptors for content-based image retrieval

ABSTRACT

In this paper, we propose a novel framework using Genetic Programming to combine image database descriptors for content-based image retrieval (CBIR). Our framework is validated through several experiments involving two image databases and specific domains, where the images are retrieved based on the shape of their objects.

REFERENCES

• 1: Nafiz Arica , Fatos T. Yarman Vural, BAS: a perceptual shape descriptor based on the beam angle statistics, Pattern Recognition Letters, v.24 n.9-10, p.1627-1639, 01 June 2003 [doi>10.1016/S0167-8655(03)00002-3]
• 2: R. da S. Torres, A. X. Falcão, and L. da F. Costa. A Graph-based Approach for Multiscale Shape Analysis. Pattern Recognition, 37(6):1163--1174, June 2004.
• 3: R. da S. Torres, A. X. Falcão, M. A. Gonçalves, B. Zhang, W. Fan, and E. A. Fox. A New Framework to Combine Descriptors for Content-based Image Retrieval. Technical Report IC-021, Institute of Computing, University of Campinas, Campinas, SP, Brazil, September 2005.
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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Query formulation

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Experimentation, Measurement

Keywords:
content-based image retrieval, genetic programming