@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 = {

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.

}, 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.} }