  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.
