A Retrieval System for Coats of Arms

نویسندگان

  • Horst Eidenberger
  • Christian Breiteneder
چکیده

The paper describes a project aiming at content-based retrieval of coats of arms to facilitate information finding. The retrieval system should be usable by experts and by casual users. In order to make use of the specific nature of arms about 20 different features have been developed to allow an expert to fine-tune an image search. For the casual user different features are grouped into feature lists that are called query models. These models correspond to image clusters in the database. The paper discusses the customization of features for the retrieval of coats of arms and their grouping into query models. Experiments and test results show a good performance of query models. keywords: content-based image retrieval, image databases, coats of arms.

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تاریخ انتشار 1999