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» Using Maximum Entropy for Automatic Image Annotation
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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
IJCNLP
2005
Springer
13 years 10 months ago
Automatic Image Annotation Using Maximum Entropy Model
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling t...
Wei Li, Maosong Sun
CLEF
2006
Springer
13 years 8 months ago
Image Retrieval and Annotation Using Maximum Entropy
I feel smaller than 10 words but should be 250 words. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.3 Information Search and Retrieval ; I.5 [Pat...
Thomas Deselaers, Tobias Weyand, Hermann Ney
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
EMNLP
2006
13 years 6 months ago
Semantic Role Labeling of NomBank: A Maximum Entropy Approach
This paper describes our attempt at NomBank-based automatic Semantic Role Labeling (SRL). NomBank is a project at New York University to annotate the argument structures for commo...
Zheng Ping Jiang, Hwee Tou Ng