基于网页的图像自动标注存在图像与文本的关联假设问题,而基于内容的方法则存在数据规模小的问题.为此,将基于内容和基于网页的自动标注方法相结合,提出基于互联网搜索和反馈验证的图像自动标注方法.利用网页关联文本从互联网搜索结果中提取候选标注词,根据候选标注词在搜索得到图片的内容特征进行反馈验证.实验结果表明,该方法具有大规模标注能力,准确率比基于网页的图像自动标注方法提高了7.92％.%Up to nowadays, the research of Web-based automatic image annotation is mainly about the problem of the relevance assumption of the image and text, and the main problem of the content-based automatic image annotation is the limit of the database. Aiming at this problem, this paper proposes the Internet-search-based automatic image annotation with the verification of feedback, combining the content-based and the Web-based automatic image annotation. It extracts candidate labels from the search results using Web-based texts associated with the image, and then verifies the final results by using the Internet search results of the candidate labels with the content-based image features. Experimental results show that this method can annotate the large-scale database, with high accuracy, and achieves 7.92% improvement on the basis of web-based automatic image annotation.
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