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An Algorithm for the Automatic Annotation Refinement on Large-Scale Web Images |
Wang Bin①; Yu Neng-hai①② |
①Department of Electrical Engineering and Information Science University of
Science and Technology of China, Hefei 230026, China;②MOE-MS Key Laboratory of Multimedia Computing and Communication,
University of Science and Technology of China, Hefei 230026, China |
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Abstract When Web images are indexed, the textual information in the hosting web pages are usually used as approximate image description. However, such information is not accurate enough. In this paper, a framework is proposed to utilize the visual content, the textual context, and the semantic relations between keywords to refine the image annotation. Experiments on large-scale dataset demonstrate the effectiveness of the proposed method.
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Received: 19 May 2007
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