Qualitative similarity measures-The case of two-dimensional outlines
Computer Vision and Image Understanding
Extent, Extremum, and Curvature: Qualitative Numeric Features for Efficient Shape Retrieval
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Towards the visualisation of shape features: the scope histogram
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Towards the processing of historic documents
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
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Graphical queries for the purpose of searching for pictorial information are of growing interest in areas where pictures provide valuable information, including, for instance, design, architecture, and engineering. Sketching graphical queries is a natural way of revealing the visual appearence of objects one has in mind. Bjrn Goffried develops computationally effective concepts for dealing with shape, in particular imprecise and incomplete sketched shapes. He exemplarily applies his method using graphical queries to search for historical objects. Specifying objects graphically, he shows that the new method is in fact capable of dealing with imprecise sketches.