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GBRPR
2007
Springer
14 years 1 days ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
ACIVS
2006
Springer
13 years 12 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
MIR
2005
ACM
197views Multimedia» more  MIR 2005»
14 years 1 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai

Source Code
579views
14 years 4 months ago
The CImg Library
The CImg Library is an open source, C++ toolkit for image processing, designed with these properties in mind : Usefulness CImg defines classes and methods to manage images in y...
David Tschumperlé
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
15 years 1 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...