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» Learning Contextual Metrics for Automatic Image Annotation
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PAMI
2010
181views more  PAMI 2010»
13 years 5 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
ICIP
2002
IEEE
14 years 9 months ago
Objective evaluation of segmentation quality using spatio-temporal context
In this paper, we propose an automatic method for the objective evaluation of segmentation results. The method is based on computing the deviation of the segmentation results from...
Andrea Cavallaro, Elisa Drelie Gelasca, Touradj Eb...
CVPR
2012
IEEE
11 years 10 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
ICIP
2010
IEEE
13 years 5 months ago
Ball event recognition using hmm for automatic tennis annotation
A key element for video indexing and summarisation is the description of isolated events and actions. In the context of many sports the motion of the ball plays an essential role ...
Ibrahim Almajai, Josef Kittler, Teofilo de Campos,...
TIP
2011
217views more  TIP 2011»
13 years 2 months ago
Contextual Object Localization With Multiple Kernel Nearest Neighbor
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
Brian McFee, Carolina Galleguillos, Gert R. G. Lan...