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

Raoul Pascal Pein; Joan Lu; Wolfgang Renz

doi:10.1109/CIT.2008.4594670

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008
Editors	Qiang Wu, Xiangjian He, Quang Vinh Nguyen, Wenjing Jia, Maolin Huang
Publisher	IEEE
Pages	179-184
Number of pages	6
ISBN (Print)	9781424423576
DOIs	https://doi.org/10.1109/CIT.2008.4594670
Publication status	Published - 8 Aug 2008
Event	IEEE 8th International Conference on Computer and Information Technology - Sydney, Australia Duration: 8 Jul 2008 → 11 Jul 2008 Conference number: 8 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=1918&copyownerid=2

Conference

Conference	IEEE 8th International Conference on Computer and Information Technology
Abbreviated title	CIT2008
Country/Territory	Australia
City	Sydney
Period	8/07/08 → 11/07/08
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=1918&copyownerid=2

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10.1109/CIT.2008.4594670Licence: Unspecified

Cite this

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title = "An Extensible Query Language for Content Based Image Retrieval Based on Lucene",

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.",

keywords = "plugs, database languages, image retrieval, engines, feature extraction, search engines, histograms",

author = "Pein, {Raoul Pascal} and Joan Lu and Wolfgang Renz",

year = "2008",

month = aug,

day = "8",

doi = "10.1109/CIT.2008.4594670",

language = "English",

isbn = "9781424423576",

pages = "179--184",

editor = "Qiang Wu and Xiangjian He and Nguyen, {Quang Vinh} and Wenjing Jia and Maolin Huang",

booktitle = "Proceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008",

publisher = "IEEE",

address = "United States",

note = "IEEE 8th International Conference on Computer and Information Technology, CIT2008 ; Conference date: 08-07-2008 Through 11-07-2008",

url = "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=1918&copyownerid=2",

}

Pein, RP, Lu, J & Renz, W 2008, An Extensible Query Language for Content Based Image Retrieval Based on Lucene. in Q Wu, X He, QV Nguyen, W Jia & M Huang (eds), Proceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008., 4594670, IEEE, pp. 179-184, IEEE 8th International Conference on Computer and Information Technology, Sydney, New South Wales, Australia, 8/07/08. https://doi.org/10.1109/CIT.2008.4594670

An Extensible Query Language for Content Based Image Retrieval Based on Lucene. / Pein, Raoul Pascal; Lu, Joan; Renz, Wolfgang.

Proceedings - 2008 8th IEEE International Conference on Computer and Information Technology, CIT 2008. ed. / Qiang Wu; Xiangjian He; Quang Vinh Nguyen; Wenjing Jia; Maolin Huang. IEEE, 2008. p. 179-184 4594670.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Lu, Joan

AU - Renz, Wolfgang

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N2 - 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.

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KW - plugs

KW - database languages

KW - image retrieval

KW - engines

KW - feature extraction

KW - search engines

KW - histograms

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A2 - Wu, Qiang

A2 - He, Xiangjian

A2 - Nguyen, Quang Vinh

A2 - Jia, Wenjing

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PB - IEEE

T2 - IEEE 8th International Conference on Computer and Information Technology

Y2 - 8 July 2008 through 11 July 2008

ER -

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

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