  Investigations of sex trafficking sometimes have access to photographs of
victims in hotel rooms. These images directly link victims to places, which can
help verify where victims have been trafficked or where traffickers might
operate in the future. Current machine learning approaches give promising
results in image search to find the matching hotel. This paper explores
approaches to make this end-to-end system better support government and law
enforcement requirements, including improved performance, visualization
approaches that explain what parts of the image led to a match, and
infrastructure to support exporting the results of a query.
