Semantic Approach to Image Database Classification and Retrieval

@inproceedings{Aghbari2003SemanticAT,
  title={Semantic Approach to Image Database Classification and Retrieval},
  author={Zaher Al Aghbari},
  year={2003}
}
This paper demonstrates an approach to image retrieval founded on classifying image regions hierarchically based on their semantics (e.g., sky, snow, rocks, etc.) that resemble peoples’ perception rather than on low-level features (e.g., color, texture, shape, etc.). Particularly, we consider to automatically classify regions of outdoor images based on their semantics using the support vector machines (SVMs) tool. First, image regions are segmented using the hill-climbing method. Then, those… CONTINUE READING
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