图像标注中的词重要性分析
Analysing Word Importance for Image Annotation
摘要：
图像标注根据不同的标签自动为图像提供多个关键词来描述图像的内容，这在图像检索中非常有用。各种研究人员正在研究基于文本和基于内容的图像注释[7，9]。在传统的图像标注方法中，标注词被同等对待，没有考虑每个词在现实世界中的重要性。在这种情况下，在这项工作中，图像注释关键字的基础上，他们的频率计数和词的相关性。此外，这项工作提出了一种方法来计算候选关键字的重要性得分，具有相同的频率计数。
英文摘要：
Image annotation provides several keywords automatically for a given image based on various tags to describe its contents which is useful in Image retrieval. Various researchers are working on text based and content based image annotations [7,9]. It is seen, in traditional Image annotation approaches, annotation words are treated equally without considering the importance of each word in real world. In context of this, in this work, images are annotated with keywords based on their frequency count and word correlation. Moreover this work proposes an approach to compute importance score of candidate keywords, having same frequency count.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
