Face Image Retrieval and Annotation Based on Two Latent Semantic Spaces in FIARS

Abstract

This paper describes face image retrieval and annotation based on latent semantic indexing in FIARS. Two latent semantic spaces are constructed from visual and symbolic features to develop these mechanisms. These features are corresponding to lengths of some places of a face and its parts, and keywords, respectively. One latent semantic space is constructed… (More)
DOI: 10.1109/ISM.2006.77

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Cite this paper

@article{Ito2006FaceIR, title={Face Image Retrieval and Annotation Based on Two Latent Semantic Spaces in FIARS}, author={Hideaki Ito and Hiroyasu Koshimizu}, journal={Eighth IEEE International Symposium on Multimedia (ISM'06)}, year={2006}, pages={831-836} }