An ontology approach to object-based image retrieval

  title={An ontology approach to object-based image retrieval},
  author={Vasileios Mezaris and Yiannis Kompatsiaris and Michael G. Strintzis},
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions. Low-level features describing the color, position, size and shape of the resulting regions are extracted and are automatically mapped to appropriate intermediatelevel descriptors forming a simple vocabulary termed object ontology. The object ontology is used to allow the… CONTINUE READING
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