Faceted exploration of image search results
Faceted exploration of image search results
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DOI：
10.1145/1772690.1772788
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发表时间：
2010-04
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通讯作者：
R. V. Zwol;Börkur Sigurbjörnsson;Ramu Adapala;Lluís Garcia Pueyo;Abhinav Katiyar;Kaushal Kurapati;M. Muralidharan;S. Muthu;Vanessa Murdock;Polly Ng;Anand Ramani;Anuj Sahai;Sriram Thiru Sathish;Hari Vasudev;Upendra Vuyyuru
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作者：
R. V. Zwol;Börkur Sigurbjörnsson;Ramu Adapala;Lluís Garcia Pueyo;Abhinav Katiyar;Kaushal Kurapati;M. Muralidharan;S. Muthu;Vanessa Murdock;Polly Ng;Anand Ramani;Anuj Sahai;Sriram Thiru Sathish;Hari Vasudev;Upendra Vuyyuru
本文介绍了MediaFaces，一个系统，使多方面的探索媒体收藏。该系统处理半结构化信息源以提取对象和方面，例如两个对象之间的关系。接下来，我们根据图像搜索查询日志的统计分析以及Flickr中注释照片的用户的标记行为对这些方面进行排名。对于一个给定的感兴趣的对象，我们可以检索前k个最相关的方面，并将它们呈现给用户。该系统目前由Yahoo！的图片搜索引擎1.我们提出的系统架构，它的主要组成部分，和系统的应用程序的一部分，图像搜索的经验。
This paper describes MediaFaces, a system that enables faceted exploration of media collections. The system processes semi-structured information sources to extract objects and facets, e.g. the relationships between two objects. Next, we rank the facets based on a statistical analysis of image search query logs, and the tagging behaviour of users annotating photos in Flickr. For a given object of interest, we can then retrieve the top-k most relevant facets and present them to the user. The system is currently deployed in production by Yahoo!'s image search engine1. We present the system architecture, its main components, and the application of the system as part of the image search experience.