One of the most important bits of every search engine is the query interface. Complex interfaces may cause users
to struggle in learning the handling. An example is the query language SQL. It is really powerful, but usually remains
hidden to the common user. On the other hand the usage of current languages for Internet search engines is very simple
and straightforward. Even beginners are able to find relevant documents.
This paper presents a hybrid query language suitable for both image and text retrieval. It is very similar to those of a full
text search engine but also includes some extensions required for content based image retrieval. The language is extensible
to cover arbitrary feature vectors and handle fuzzy queries.