From Features to Semantics: Some Preliminary Results

@inproceedings{Zhao2000FromFT,
  title={From Features to Semantics: Some Preliminary Results},
  author={Rong Zhao and William I. Grosky},
  booktitle={IEEE International Conference on Multimedia and Expo},
  year={2000}
}
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic analysis (LSA), which has been used for full-text retrieval for many years. In this environment, LSA determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhaps not containing this keyword, but containing other keywords from… CONTINUE READING
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Dimai , ' Color Indexing with Weak Spatial Constraints , ' Proceedings of SPIE Storage and Retrieval for Image and Video Databases

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