基于文本和基于内容的Flickr图像检索:DEMO

J. M. Barrios, Diego Diaz-Espinoza, B. Bustos
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引用次数: 26

摘要

提出了一种基于文本和内容相结合的图像检索系统。其思想是使用图像的标题、描述和标签中的文本来改进通过标准的基于内容的搜索获得的结果。该系统包含两个不同的用户界面:一个是为终端用户设计的浏览器侧栏,用户必须在其中输入正在访问的Flickr URL,系统从集合中检索类似的图像;另一个是为经验丰富的用户设计的高级搜索,其中距离函数和权重可以自定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Text-Based and Content-Based Image Retrieval on Flickr: DEMO
We present an image retrieval system based on a combined search of text and content. The idea is to use the text present in title, description, and tags of the images for improving the results obtained with a standard content-based search. The system contains two different user interfaces: a sidebar for the browser designed for end users, where the user must enter the Flickr URL that is visiting and the system retrieves similar images from the collection, and an advanced search designed for experienced users, where the distance functions and weights can be customized.
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