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Travel Blog Assistant System (TBAS) - An Example Scenario of How to Enrich Text with Images and Images with Text using Online Multimedia Repositories

机译:旅行博客助理系统(TBA) - 如何使用在线多媒体存储库的文本丰富文本的示例场景

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In this paper we present a Travel Blog Assistant System that facilitates the travel blog writing by automatically selecting for each blog paragraph written by the user the most relevant images from an uploaded image set. In order to do this, the system first automatically adds metadata to the traveler's photos based both on a Generic Visual Categorizer (visual keywords) and by exploiting cross-content web repositories (textual keywords). For a given paragraph, the system ranks the uploaded images according to the similarity between the extracted metadata and the paragraph. The technology developed and presented here has potential beyond travel blogs, which served just as an illustrative example. Clearly, the same methodology can be used by professional users in the fields of multimedia document generation and automatic illustration and captioning.
机译:在本文中,我们展示了一个旅行博客助理系统,它通过自动选择用户来自上载的图像集的最相关图像的每个博客段落来促进旅行博客写作。为此,系统首先基于通用视觉分类程序(可视化关键字)以及利用跨内容Web存储库(文本关键字),自动将元数据添加到旅行者的照片。对于给定段落,系统根据提取的元数据和段落之间的相似性排列上载的图像。此处开发和呈现的技术具有超越旅行博客,其作为说明性示例。显然,可以由多媒体文档生成和自动插图和标题领域的专业用户使用相同的方法。

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