%0 Book Section
%T Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination
%A Agnes Borras
%A Josep Llados
%B 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120
%D 2007
%V 4478
%@ 978-3-540-72848-1
%F Agnes Borras2007
%O DAG;
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=776), last updated on Wed, 14 Dec 2011 09:37:06 +0100
%X This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications.
%U http://refbase.cvc.uab.es/files/BoL2007a.pdf
%U http://dx.doi.org/10.1007/978-3-540-72849-8_5
%P 33–39