An Extensible Query Language for Content Based Image Retrieval Based on Lucene

Raoul Pascal Pein, Joan Lu, Wolfgang Renz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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 und 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.

Original languageEnglish
Title of host publicationProceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008
EditorsQiang Wu, Xiangjian He, Quang Vinh Nguyen, Wenjing Jia, Maolin Huang
PublisherIEEE
Pages179-184
Number of pages6
ISBN (Print)9781424423576
DOIs
Publication statusPublished - 8 Aug 2008
EventIEEE 8th International Conference on Computer and Information Technology - Sydney, Australia
Duration: 8 Jul 200811 Jul 2008
Conference number: 8
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=1918&copyownerid=2

Conference

ConferenceIEEE 8th International Conference on Computer and Information Technology
Abbreviated titleCIT2008
CountryAustralia
CitySydney
Period8/07/0811/07/08
Internet address

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  • Cite this

    Pein, R. P., Lu, J., & Renz, W. (2008). An Extensible Query Language for Content Based Image Retrieval Based on Lucene. In Q. Wu, X. He, Q. V. Nguyen, W. Jia, & M. Huang (Eds.), Proceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008 (pp. 179-184). [4594670] IEEE. https://doi.org/10.1109/CIT.2008.4594670