Abstract: This article propose a way to automatically retrieve images from the world-wide-web using a semantic description for images and an agent concept for the retrieval of images. The system represents image in a textual way, e.g. look for a portrait of the a specific person, or fetch an image showing a countryside in Southern California. This textual descriptions are fed in search machines, e.g. yahoo, alta- vista. The resulting html documents are seeked for links. The next step subsequently processes each link by fetching the document other the net, converting it to an ascii representation, and performing a full text search by using the image description. This leads to starting points of images which are retrieved via a web-agent. The image descriptions are decomposed in a set of parts containing image operations which are further processed, e.g. a set for representing the background of a portrait tries to find a homogeneous region in the image because this is likely to find in a portrait. Additional operations are performed on the foreground, i.e. the image region which contains e.g. the face of a person. The system is realized using two C$PLU$PLU libraries: one for building up web-agents, LIWA$PLU$PLU@, and one for processing images, HORUS.!26
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机译:摘要:本文建议使用用于检索图像的图像和代理概念的语义描述自动检索来自全球网络的图像。该系统以文本方式表示图像,例如,寻找一个特定的人的肖像,或者从南加利福尼亚州显示一个乡下的图象。这款文本描述是在搜索机器中馈送,例如:雅虎,alta- vista。生成的HTML文档被寻求链接。下一步骤随后通过获取文档的其他网络来处理每个链路,将其转换为ASCII表示,并通过使用图像描述执行完整的文本搜索。这导致通过Web-Agent检索的图像的起点。图像描述在包含进一步处理的图像操作的一组部分中分解,例如,表示肖像背景的集合试图在图像中找到一个均匀区域,因为这可能会在肖像中找到。在前景中执行附加操作,即包含例如e.g的图像区域。一个人的脸。系统使用两个C $ PLU $ PLU库实现:一个用于构建Web-Agents,Liwa $ PLU $ PLU @,以及用于处理图像,Horus。!26
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