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MVA
1990
13 years 9 months ago
Descriptive Ability of Drawing Image Understanding Framework Using State Transition Models
It is strongly desired to construct multimedia databases especially of maps or engineering drawings. If these databases are intended to be used really effectively, original drawin...
Shin'ichi Satoh, Masao Sakauchi
TCSV
2010
13 years 3 months ago
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
Mohand Saïd Allili, Djemel Ziou, Nizar Bougui...
JVCIR
2010
147views more  JVCIR 2010»
13 years 7 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
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 9 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
CIKM
2009
Springer
14 years 1 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...