An Algorithm for the Automatic Annotation Refinement on Large-Scale Web Images

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.