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» Feature Selection for Automatic Image Annotation
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DAS
2010
Springer
14 years 10 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
ICTAI
2008
IEEE
15 years 6 months ago
Feature Exploration for Mining Coronal Loops from Solar Images
1 Coronal loops are especially important in analyzing some important phenomena related to the Sun such as the controversial coronal heating problem. The analysis requires astrophys...
Nurcan Durak, Olfa Nasraoui
ICIP
2007
IEEE
16 years 1 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
15 years 5 months ago
Automatic Peak Number Detection in Image Symmetry Analysis
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Pre...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
MIR
2003
ACM
147views Multimedia» more  MIR 2003»
15 years 5 months ago
Model checking for detection of sport highlights
Automatic semantic annotation of sports video requires that the domain knowledge is properly included and exploited in the annotation process and that low and intermediate-level f...
Marco Bertini, Alberto Del Bimbo, Walter Nunziati