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» Automatic Image Annotation Using Group Sparsity
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ECIR
2008
Springer
13 years 10 months ago
Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations all...
Vassilios Stathopoulos, Jana Urban, Joemon M. Jose
AMR
2007
Springer
160views Multimedia» more  AMR 2007»
14 years 2 months ago
Improving Automatic Image Annotation Based on Word Co-occurrence
Abstract. Accuracy of current automatic image labeling methods is under the requirements of annotation-based image retrieval systems. The performance of most of these labeling meth...
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
CIKM
2010
Springer
13 years 6 months ago
A probabilistic topic-connection model for automatic image annotation
The explosive increase of image data on Internet has made it an important, yet very challenging task to index and automatically annotate image data. To achieve that end, sophistic...
Xin Chen, Xiaohua Hu, Zhongna Zhou, Caimei Lu, Gai...
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...
BMCBI
2005
136views more  BMCBI 2005»
13 years 8 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial