@inbook {bGiro-i-Nieto06,
	title = {From partition trees to semantic trees},
	booktitle = {Multimedia Content Representation, Classification and Security},
	volume = {4105/2006},
	number = {4105},
	year = {2006},
	pages = {306{\textendash}313},
	abstract = {<p>This paper proposes a solution to bridge the gap between semantic and visual information formulated as a structural pattern recognition problem. Instances of semantic classes expressed by Description Graphs are detected on a region-based representation of visual data expressed with a Binary Partition Tree. The detection process builds instances of Semantic Trees on the top of the Binary Partition Tree using an encyclopedia of models organised as a hierarchy. At the leaves of the Semantic Tree, classes are defined by perceptual models containing a list of low-level descriptors. The proposed solution is assessed in different environments to show its flexibility.</p>},
	issn = {0302-9743},
	doi = {10.1007/11848035_41},
	url = {http://www.springerlink.com/content/j148713624k48u3r/},
	author = {Xavier Gir{\'o}-i-Nieto and Marqu{\'e}s, F.}
}
