Image content annotation using Bayesian framework and complement components analysis

In this paper, we consider image annotation as a problem of image classification, in which each keyword is treated as a distinct class label. We then build a Bayesian model to solve the classification problem. To preserve the in-variation in the training data and reduce the noises, we also propose t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Changbo Yang, Ming Dong, Fotouhi, F.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Digital images Feature extraction Image analysis Image classification Image databases Image retrieval Indexing Noise reduction Training data
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