Abstract
In this paper, we propose an interactive image annotation system. The proposed system has two connected components, the low-level feature space and the semantic space. Experiments show that our system is able to provide accurate annotation for images by learning the connections between the two spaces through statistical modelling, natural language processing, and users' interaction.