CLEAR: A Fully User-side Image Search System
CLEAR: A Fully User-side Image Search System
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DOI：
10.1145/3511808.3557172
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发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
R. Sato
中科院分区：
文献类型：
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作者：
R. Sato
我们在日常生活中使用互联网上的许多搜索引擎。然而，它们并不完美。他们的评分功能可能不会模拟我们的意图，或者他们可能只接受文本查询，即使我们想执行类似的图像搜索。在这种情况下，我们需要做出妥协：要么继续使用不满意的服务，要么离开服务。最近，一种新的解决方案--用户端搜索系统被提出。在这个框架中，每个用户都建立了自己的搜索系统，通过用户定义的评分功能和用户定义的界面来满足他们的偏好。尽管这一概念很有吸引力，但这种方法在实践中是否可行仍不清楚。在这个演示中，我们展示了第一个完全用户端的图片搜索系统Clear，它为Flickr实现了一个类似图片的搜索引擎。挑战在于，Flickr没有提供官方的类似图片搜索引擎或相应的API。尽管如此，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，也不存储任何图像或建立搜索索引。它与传统的搜索算法不同，传统的搜索算法需要准备后端服务器并建立搜索索引。因此，每个用户都可以轻松部署自己的Clear引擎，由此产生的服务是定制的、隐私保护的。在线演示可在https://clear.joisino.net.上获得源代码可在https://github.com/joisino/clear.上找到
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.