Extraction and Visualization of Image Contexts from Web
Extraction and Visualization of Image Contexts from Web
复制标题
从网络中提取和可视化图像上下文
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Katsumi Tanaka
中科院分区：
文献类型：
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作者：
K. Zettsu;Katsumi Tanaka
Web包含由公众发布的各种各样的图像。因此，传统的图像检索方法难以通过精确地指定图像内容来从Web检索图像。当前的搜索用户大多首先检索包含与目标图像相关的主题的Web页面（或部分Web页面），然后浏览Web页面以发现具有适当内容的图像。这种差距导致了图像检索的可搜索性和可靠性问题。为了填补差距，我们提出了一种方法，用于检索“Web上下文“的图像，其中每一个代表什么样的Web内容（例如文本和其他图像）的图像相关联。Web上下文由图像周围的一组Web内容表示。我们定义了三种类型的Web上下文的图像根据不同的关联图像和Web内容的基础上Web组件（即结构化文档和超链接）。我们的方法使搜索用户检索图像的使用直接从Web上。此外，通过将每个结果图像显示为相应的Web上下文的一部分，搜索用户可以视觉地理解查询请求和结果图像之间的相关性。在本文中，我们提出了提取和可视化的Web上下文的图像的方法。
The Web contains wide variety of images published by the general public. Thus, it is difficult for conventional image retrieval methods to retrieve images from the Web by specifying image contents precisely. Most of current search users first retrieve Web pages (or parts of Web pages) that contain related topics to the target image, then browse the Web pages for discovering the images with appropriate contents. This gap causes problems on search-ability and reliability of image retrieval. In order to fill the gap, we propose an approach for retrieving “Web contexts”of images, each of which represents with what kind of Web contents (e.g. texts and other images) an image is associated. A Web context is represented by a set of Web contents surrounding the image. We define three types of Web contexts for an image in accordance with different associations between an image and Web contents based on Web components (i.e. structured documents and hyperlinks). Our approach enables a search user to retrieve images by their usages directly from the Web. Besides, by showing each of result images as a part of the corresponding Web context, a search user can visually understand relevancy between query request and the result image. In this paper, we propose methods for extracting and visualizing Web contexts of images.