Semi-supervised Image Meta-filtering in Cultural Heritage Applications

摘要

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.