Arc and path consistence revisited
Artificial Intelligence
A generic arc-consistency algorithm and its specializations
Artificial Intelligence
Arc-consistency and arc-consistency again
Artificial Intelligence
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Composing cardinal direction relations
Artificial Intelligence
Generic Model Abstraction from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing the semantic interoperability of multimedia through a core ontology
IEEE Transactions on Circuits and Systems for Video Technology
A Hybrid System for the Semantic Annotation of Sulco-Gyral Anatomy in MRI Images
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Assessing the role of spatial relations for the object recognition task
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Multimedia Tools and Applications
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In this paper, a new way to express complex spatial relations is proposed in order to integrate them in a Constraint Satisfaction Problem with bilevel constraints. These constraints allow to build semantic graphs, which can describe more precisely the spatial relations between subparts of a composite object that we look for in an image. For example, it allows to express complex spatial relations such as "is surrounded by". This approach can be applied to image interpretation and some examples on real images are presented.