Image Annotation Using a Semantic Hierarchy

With the fast development of smartphones and social media image sharing, automatic image annotation has become a research area of great interest. It enables indexing, extracting and searching in large collections of images in an easier and faster way. In this paper, we propose a model for the annotation extension of images using a semantic hierarchy. This latter is built from vocabulary keyword annotations combining a mixture of Bernoulli distributions with mixtures of Gaussians.