Graphical tools and techniques for querying document image databases

J. Sauvola; D. Doermann; H. Kauniskangas; C. Shin; M. Koivusaari; M. Pietikänen

doi:10.1007/3-540-63791-5_16

Graphical tools and techniques for querying document image databases

J. Sauvola
, D. Doermann
, H. Kauniskangas
, C. Shin
, M. Koivusaari
, M. Pietikänen

Department of Computer Science and Engineering

University of Oulu
University of Maryland, College Park

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

3 Scopus citations

Abstract

This paper describes document models and relations for the retrieval of document images. The underlying methodology was developed for the Intelligent Document Image Retrieval System (IDIR), which aims to extend document image database query capabilities. Traditional component type and keyword features are insufficient in describing logical and structural aspects of documents nature. We have developed the necessary object-oriented document models to carry out complex multidomain retrieval scenarios. In this paper we focus on retrieval capabilities and underlying methodology that supports different schemes. For these models and query schemes (QS), new graphical techniques are introduced. The IDIR allows complex combinations of different QS’s, using the extended concept of ‘frame logic’, developed in our earlier work for the attribute management. Furthermore, a concept of document similarity is introduced with relations to QS’s, document models, structure and role of use. Examples are shown for the retrieval of document images from University of Washington Database.

Original language	English
Title of host publication	Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings
Editors	Nabeel A. Murshed, Flávio Bortolozzi
Publisher	Springer Verlag
Pages	213-224
Number of pages	12
ISBN (Print)	3540637915, 9783540637912
DOIs	https://doi.org/10.1007/3-540-63791-5_16
State	Published - 1997
Event	1st Brazilian Symposium on Document Image Analysis, BSDIA 1997 - Curitiba, Brazil Duration: Nov 2 1997 → Nov 5 1997

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1339
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st Brazilian Symposium on Document Image Analysis, BSDIA 1997
Country/Territory	Brazil
City	Curitiba
Period	11/2/97 → 11/5/97

Keywords

Document image query
Document image retrieval
Document similarity
Query scheme

Access to Document

10.1007/3-540-63791-5_16

Cite this

Sauvola, J., Doermann, D., Kauniskangas, H., Shin, C., Koivusaari, M., & Pietikänen, M. (1997). Graphical tools and techniques for querying document image databases. In N. A. Murshed, & F. Bortolozzi (Eds.), Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings (pp. 213-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1339). Springer Verlag. https://doi.org/10.1007/3-540-63791-5_16

Sauvola, J. ; Doermann, D. ; Kauniskangas, H. et al. / Graphical tools and techniques for querying document image databases. Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings. editor / Nabeel A. Murshed ; Flávio Bortolozzi. Springer Verlag, 1997. pp. 213-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5db987bb666d467e972a7116a7472d17,

title = "Graphical tools and techniques for querying document image databases",

abstract = "This paper describes document models and relations for the retrieval of document images. The underlying methodology was developed for the Intelligent Document Image Retrieval System (IDIR), which aims to extend document image database query capabilities. Traditional component type and keyword features are insufficient in describing logical and structural aspects of documents nature. We have developed the necessary object-oriented document models to carry out complex multidomain retrieval scenarios. In this paper we focus on retrieval capabilities and underlying methodology that supports different schemes. For these models and query schemes (QS), new graphical techniques are introduced. The IDIR allows complex combinations of different QS{\textquoteright}s, using the extended concept of {\textquoteleft}frame logic{\textquoteright}, developed in our earlier work for the attribute management. Furthermore, a concept of document similarity is introduced with relations to QS{\textquoteright}s, document models, structure and role of use. Examples are shown for the retrieval of document images from University of Washington Database.",

keywords = "Document image query, Document image retrieval, Document similarity, Query scheme",

author = "J. Sauvola and D. Doermann and H. Kauniskangas and C. Shin and M. Koivusaari and M. Pietik{\"a}nen",

note = "Publisher Copyright: {\textcopyright} Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1997. All Rights Reserved.; 1st Brazilian Symposium on Document Image Analysis, BSDIA 1997 ; Conference date: 02-11-1997 Through 05-11-1997",

year = "1997",

doi = "10.1007/3-540-63791-5\_16",

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Sauvola, J, Doermann, D, Kauniskangas, H, Shin, C, Koivusaari, M & Pietikänen, M 1997, Graphical tools and techniques for querying document image databases. in NA Murshed & F Bortolozzi (eds), Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1339, Springer Verlag, pp. 213-224, 1st Brazilian Symposium on Document Image Analysis, BSDIA 1997, Curitiba, Brazil, 11/2/97. https://doi.org/10.1007/3-540-63791-5_16

Graphical tools and techniques for querying document image databases. / Sauvola, J.; Doermann, D.; Kauniskangas, H. et al.
Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings. ed. / Nabeel A. Murshed; Flávio Bortolozzi. Springer Verlag, 1997. p. 213-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1339).

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

TY - GEN

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AU - Sauvola, J.

AU - Doermann, D.

AU - Kauniskangas, H.

AU - Shin, C.

AU - Koivusaari, M.

AU - Pietikänen, M.

PY - 1997

Y1 - 1997

N2 - This paper describes document models and relations for the retrieval of document images. The underlying methodology was developed for the Intelligent Document Image Retrieval System (IDIR), which aims to extend document image database query capabilities. Traditional component type and keyword features are insufficient in describing logical and structural aspects of documents nature. We have developed the necessary object-oriented document models to carry out complex multidomain retrieval scenarios. In this paper we focus on retrieval capabilities and underlying methodology that supports different schemes. For these models and query schemes (QS), new graphical techniques are introduced. The IDIR allows complex combinations of different QS’s, using the extended concept of ‘frame logic’, developed in our earlier work for the attribute management. Furthermore, a concept of document similarity is introduced with relations to QS’s, document models, structure and role of use. Examples are shown for the retrieval of document images from University of Washington Database.

AB - This paper describes document models and relations for the retrieval of document images. The underlying methodology was developed for the Intelligent Document Image Retrieval System (IDIR), which aims to extend document image database query capabilities. Traditional component type and keyword features are insufficient in describing logical and structural aspects of documents nature. We have developed the necessary object-oriented document models to carry out complex multidomain retrieval scenarios. In this paper we focus on retrieval capabilities and underlying methodology that supports different schemes. For these models and query schemes (QS), new graphical techniques are introduced. The IDIR allows complex combinations of different QS’s, using the extended concept of ‘frame logic’, developed in our earlier work for the attribute management. Furthermore, a concept of document similarity is introduced with relations to QS’s, document models, structure and role of use. Examples are shown for the retrieval of document images from University of Washington Database.

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KW - Document similarity

KW - Query scheme

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AN - SCOPUS:84955561489

SN - 3540637915

SN - 9783540637912

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings

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PB - Springer Verlag

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ER -

Sauvola J, Doermann D, Kauniskangas H, Shin C, Koivusaari M, Pietikänen M. Graphical tools and techniques for querying document image databases. In Murshed NA, Bortolozzi F, editors, Advances in Document Image Analysis - 1st Brazilian Symposium, BSDIA 1997, Proceedings. Springer Verlag. 1997. p. 213-224. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-63791-5_16

Graphical tools and techniques for querying document image databases

Abstract

Publication series

Conference

Keywords

Access to Document

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