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MMM
2012
Springer
313views Multimedia» more  MMM 2012»
7 years 6 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
JVCIR
2010
147views more  JVCIR 2010»
8 years 9 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
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
9 years 3 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
ICADL
2003
Springer
147views Education» more  ICADL 2003»
9 years 4 months ago
Effective Image Annotation for Search Using Multi-level Semantics
There is an increasing need of development of automatic tools to annotate images for effective image searching in digital libraries. In this paper, we present a novel probabilistic...
Pu-Jen Cheng, Lee-Feng Chien
CLEF
2007
Springer
9 years 5 months ago
Baseline Results for the ImageCLEF 2007 Medical Automatic Annotation Task Using Global Image Features
Abstract. This paper provides baseline results for the medical automatic annotation task of CLEF 2007 by applying the image retrieval in medical applications (IRMA)-based algorithm...
Mark Oliver Güld, Thomas Martin Deserno
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