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IBPRIA
2005
Springer
15 years 6 months ago
Probabilistic Image-Based Tracking: Improving Particle Filtering
Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highl...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, F...
95
Voted
CLEF
2010
Springer
15 years 1 months ago
Improving Retrieval Using External Annotations: OHSU at ImageCLEF 2010
Over the past several years, our team has focused its efforts on improving retrieval precision performance by mixing visual and textual information. This year, we chose to explore ...
Steven Bedrick, Jayashree Kalpathy-Cramer
90
Voted
TIP
2008
155views more  TIP 2008»
15 years 13 days ago
Improving Color Constancy Using Indoor-Outdoor Image Classification
In this work, we investigate how illuminant estimation techniques can be improved, taking into account automatically extracted information about the content of the images. We consi...
Simone Bianco, Gianluigi Ciocca, Claudio Cusano, R...
91
Voted
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
15 years 5 months ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French
ECCV
2010
Springer
15 years 2 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...