Content-based Image Retrieval of Coats of Arms
Abstract
The paper describes a content-based image retrieval system for coats of arms. The characteristics of arms are analyzed and specific features for segmentation, object layout, symmetry, etc. developed and implemented. Search queries are formulated and classified into query models which represent similarity of images by the features they use. These models are rated by recall and precision.
Reference
Proceedings of IEEE International Workshop on Multimedia Signal Processing, Helsingör, Denmark, 1999