Pein, Raoul Pascal, Lu, Joan and Renz, Wolfgang (2008) An extensible query language for content based image retrieval based on Lucene. In: 2008 8th IEEE International Conference on Computer and Information Technology. IEEE, pp. 179-184. ISBN 9781424423576
|PDF - Published Version |
Download (132kB) | Preview
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
Downloader CountriesMore statistics for this item...
Repository Staff Only: item control page