@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 = {

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.

}, 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.} }