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ICPR
2008
IEEE
13 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»
12 years 5 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»
11 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
12 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
12 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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