Title: A relational distance-based framework for hierarchical image understanding
Authors: Antanas, Laura
van Otterlo, Martijn
Oramas Mogrovejo, José Antonio
Tuytelaars, Tinne
De Raedt, Luc
Issue Date: 6-Feb-2012
Host Document: Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods vol:2 pages:206 -218
Conference: International Conference on Pattern Recognition Applications and Methods edition:1 location:Algarve, Portugal date:6-8 Feb 2012
Article number: 150
Abstract: Understanding images in terms of hierarchical and logical structures is crucial for many semantic tasks, including image retrieval, scene understanding and robot vision. This paper combines compositional hierarchies, qualitative spatial relations, relational instance-based learning and robust feature extraction in one framework. For each layer in the hierarchy, substructures in the images are detected, classified and then employed one layer up the hierarchy to obtain higher-level semantic structures, by making use of qualitative spatial relations. The approach is applied to street view images. We employ a four-layer hierarchy in which subsequently corners, windows and doors, and individual houses are detected.
Description: Best paper award
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
ESAT - PSI, Processing Speech and Images

Files in This Item:
File Description Status SizeFormat
hierarchical_icpram3.pdf Published 16162KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.