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 onlineusers 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.
Human-Computer interactive image annotation users’ feedback annotation refinement object-based
Xinxin Gao Chuang Zhang Ming Wu Zhiqing Lin
Pattern Recogniation & Intelligent System Lab, Beijing University of Posts and Telecommunications, Box186#, Beijing 100876, China
国际会议
北京
英文
400-404
2009-11-06（万方平台首次上网日期，不代表论文的发表时间）