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ICPR
2008
IEEE
10 years 1 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
9 years 6 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
JVCIR
2010
147views more  JVCIR 2010»
8 years 10 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
CLEF
2004
Springer
9 years 5 months ago
How to Visually Retrieve Images from the St. Andrews Collection Using GIFT
Abstract. The ImageCLEF task of CLEF has a main goal in the retrieval of images from multiā€“lingual collections. The 2003 imageCLEF saw no group using the visual information of im...
Henning Müller, Antoine Geissbühler
DICTA
2003
9 years 1 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
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