2014 | OriginalPaper | Buchkapitel
Semi-supervised Image Meta-filtering in Cultural Heritage Applications
verfasst von : Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Matsatsinis
Erschienen in: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection
Verlag: Springer International Publishing
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An image filtering scheme for images of cultural interest is presented. The model utilize a semi supervised approach for the creation of an appropriate distance learning metric, which is used for the filtering. User’s feedback is involved only for a minor set of data, defined using optics algorithm and sparse modeling representative selection. Such approach facilitates the refinement of retrieval results always under the scope of the end user needs.