@conference {cGiro-i-Nieto05,
	title = {Detection of Semantic Objects using Description Graphs},
	booktitle = {IEEE International Conference on Image Processing},
	year = {2005},
	address = {Genova, Italy},
	abstract = {<p><span style="color: $\#$333333; font-family: Verdana, Geneva, sans-serif; font-size: 13px; line-height: 19px;">This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a description graph. Classes are defined as combinations of instances of lower level semantic classes and allow the definition of a semantic tree that organizes classes in semantic levels. At the bottom level of the semantic tree, classes are defined by a perceptual model containing a list of low-level descriptors. The proposed detection algorithm follows a bottom-up/top-down approach, building semantic trees on a region-based representation of the media. The flexibility of the approach is assessed on different examples of planar objects, such as frontal faces, groups of islands, flags and traffic signs.</span></p>},
	keywords = {Detection algorithms, Explosions, Face detection, Image databases, Indexing, MPEG 7 Standard, Object detection, Testing, Traffic control, Tree graphs},
	isbn = {0-7803-9135-7},
	doi = {10.1109/ICIP.2005.1529972},
	url = {http://dx.doi.org/10.1109/ICIP.2005.1529972},
	author = {Xavier Gir{\'o}-i-Nieto and Marqu{\'e}s, F.}
}
