I2A: AN INTERACTIVE IMAGE ANNOTATION SYSTEM (ThuPmOR2)

Author(s) : Changbo Yang (Wayne State University, United States of America) Ming Dong (Wayne State University, United States of America) Farshad Fotouhi (Wayne State University, United States of America)

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.

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