Region-Based Image Retrieval Using Multiple-Features

  • Veena Sridhar
  • Mario A. Nascimento
  • Xiaobo Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2314)


Content-based image retrieval from large multimedia databases effectively and efficiently is a challenging task. In this paper, we propose a retrieval technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole images is calculated. The relative importance of the above features is investigated, and colour plays a major role in the process of distance computation. Our representation is robust to minor inaccuracy in image segmentation, is invariant to scaling and can perceive geometric changes like translation and rotation. The experimental results indicate that our technique outperforms recently proposed techniques.


Colour Space Image Retrieval Segmentation Algorithm Retrieval Performance Content Base Image Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Veena Sridhar
    • 1
  • Mario A. Nascimento
    • 1
  • Xiaobo Li
    • 1
  1. 1.Dept. of Computing ScienceUniversity of AlbertaCanada

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