A review on automatic image annotation techniques
Pattern Recognition
Rotation Invariant Curvelet Features for Region Based Image Retrieval
International Journal of Computer Vision
Structural image retrieval using automatic image annotation and region based inverted file
Journal of Visual Communication and Image Representation
A mobile picture tagging system using tree-structured layered Bayesian networks
Mobile Information Systems
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This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algorithm, the new algorithm effectively handles variable feature vectors like dominant color descriptors. Furthermore, the algorithm is guided by a novel splitting and stopping criterion which is specially designed for dominant color descriptors. This criterion helps the algorithm not only to learn the number of clusters, but also to avoid unnecessary over-fragmentations of region-clusters. Experimental result shows that the proposed approach categorizes image-regions with very high accuracy.