论文标题
清除：完全用户端的图像搜索系统
CLEAR: A Fully User-side Image Search System
论文作者
论文摘要
我们在日常生活中使用了许多互联网上的搜索引擎。但是，它们并不完美。 Their scoring function may not model our intent or they may accept only text queries even though we want to carry out a similar image search.在这种情况下，我们需要做出妥协：我们继续使用不满意的服务或离开服务。最近，提出了一种新的解决方案，即用户端搜索系统。在此框架中，每个用户构建了自己的搜索系统，该系统通过用户定义的评分功能和用户定义的界面符合他们的偏好。尽管这个概念很有吸引力，但仍不清楚这种方法在实践中是否可行。在此演示中，我们展示了第一个完全用户端的图像搜索系统Clear，该系统实现了Flickr的类似图像搜索引擎。挑战是Flickr不提供官方的类似图像搜索引擎或相应的API。但是，Clear在用户端完全意识到了这一点。 Clear根本不使用后端服务器，也不会存储任何图像或构建搜索指数。这与需要准备后端服务器并构建搜索索引的传统搜索算法相反。因此，每个用户都可以轻松地部署自己的清晰引擎，而所得的服务是定制和隐私的。在线演示可在https://clear.joisino.net上找到。源代码可在https://github.com/joisino/clear上获得。
We use many search engines on the Internet in our daily lives. However, they are not perfect. Their scoring function may not model our intent or they may accept only text queries even though we want to carry out a similar image search. In such cases, we need to make a compromise: We continue to use the unsatisfactory service or leave the service. Recently, a new solution, user-side search systems, has been proposed. In this framework, each user builds their own search system that meets their preference with a user-defined scoring function and user-defined interface. Although the concept is appealing, it is still not clear if this approach is feasible in practice. In this demonstration, we show the first fully user-side image search system, CLEAR, which realizes a similar-image search engine for Flickr. The challenge is that Flickr does not provide an official similar image search engine or corresponding API. Nevertheless, CLEAR realizes it fully on a user-side. CLEAR does not use a backend server at all nor store any images or build search indices. It is in contrast to traditional search algorithms that require preparing a backend server and building a search index. Therefore, each user can easily deploy their own CLEAR engine, and the resulting service is custom-made and privacy-preserving. The online demo is available at https://clear.joisino.net. The source code is available at https://github.com/joisino/clear.
