An interactive framework for online image annotation

Image annotation plays a very important role in managing and retrieving abundant images over the Internet nowadays. In this paper, we try to propose a human-computer interactive framework for online image annotation which fully considers the human judgments and all online-users´ feedback. First, an interactive image annotation interface is demonstrated. It is utilized to interact with online-users and collect the original manual annotations. Second, an object-based image annotation framework is proposed to provide the automatic results for users. Then, the users´ feedback can be recorded and integrated to help our system to achieve performance improvement. Third, a comprehensive method of annotation refinement is developed to remove the noisy keywords. Finally, experimental results demonstrate the effectiveness of our proposed system.