Content-Based Retrieval for A Database of Function Approximated Kamon Images

Paul Hing Kwan; Koichi Wada; Nobuyuki Otsu; Kazuo Toraichi

Content-Based Retrieval for A Database of Function Approximated Kamon Images

Paul Hing Kwan
, Koichi Wada
, Nobuyuki Otsu
, Kazuo Toraichi

Computer Science

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

Abstract

In this paper, a content-based retrieval method for a database of Japanese kamon images is introduced. Kamons are traditional family emblems that have both commercial and historical research values. Our method is based on comparing the shape of geometric patterns in a pair of images by relaxation matching in which the objects and the labels are represented as function approximated contour segments. Images of closest similarity according to a scalar distance function are returned as output. Our goal is to include this method as an added value function in an existing software package based on kamons where the only available retrieval method is by keywords or pre-defined categories. This work is part of a government-funded research project to transfer technology from university to industry in order to increase its competitiveness. Experimental results on a database of 2,000 kamon images are included for evaluation.

Original language	English
Title of host publication	Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004
Editors	Hsing-Wei Chu, Michael Savoie, Kazuo Toraichi, Paul Kwan
Place of Publication	United States of America
Publisher	International Institute of Informatics and Systemics (IIIS)
Pages	13-18
ISBN (Print)	9806560175
Publication status	Published - 2004
Event	CCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies - Austin, United States of America Duration: 14 Aug 2004 → 17 Aug 2004

Conference

Conference	CCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies
City	Austin, United States of America
Period	14/08/04 → 17/08/04

Keywords

Image Processing

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https://hdl.handle.net/1959.11/4534

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Kwan, P. H., Wada, K., Otsu, N., & Toraichi, K. (2004). Content-Based Retrieval for A Database of Function Approximated Kamon Images. In H.-W. Chu, M. Savoie, K. Toraichi, & P. Kwan (Eds.), Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004 (pp. 13-18). International Institute of Informatics and Systemics (IIIS). https://hdl.handle.net/1959.11/4534

Kwan, Paul Hing ; Wada, Koichi ; Otsu, Nobuyuki et al. / Content-Based Retrieval for A Database of Function Approximated Kamon Images. Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004. editor / Hsing-Wei Chu ; Michael Savoie ; Kazuo Toraichi ; Paul Kwan. United States of America : International Institute of Informatics and Systemics (IIIS), 2004. pp. 13-18

@inproceedings{069149413e53434eb6199ead9b2cf4de,

title = "Content-Based Retrieval for A Database of Function Approximated Kamon Images",

abstract = "In this paper, a content-based retrieval method for a database of Japanese kamon images is introduced. Kamons are traditional family emblems that have both commercial and historical research values. Our method is based on comparing the shape of geometric patterns in a pair of images by relaxation matching in which the objects and the labels are represented as function approximated contour segments. Images of closest similarity according to a scalar distance function are returned as output. Our goal is to include this method as an added value function in an existing software package based on kamons where the only available retrieval method is by keywords or pre-defined categories. This work is part of a government-funded research project to transfer technology from university to industry in order to increase its competitiveness. Experimental results on a database of 2,000 kamon images are included for evaluation.",

keywords = "Image Processing",

author = "Kwan, \{Paul Hing\} and Koichi Wada and Nobuyuki Otsu and Kazuo Toraichi",

year = "2004",

language = "English",

isbn = "9806560175",

pages = "13--18",

editor = "Hsing-Wei Chu and Michael Savoie and Kazuo Toraichi and Paul Kwan",

booktitle = "Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004",

publisher = "International Institute of Informatics and Systemics (IIIS)",

note = "CCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies ; Conference date: 14-08-2004 Through 17-08-2004",

}

Kwan, PH, Wada, K, Otsu, N & Toraichi, K 2004, Content-Based Retrieval for A Database of Function Approximated Kamon Images. in H-W Chu, M Savoie, K Toraichi & P Kwan (eds), Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004. International Institute of Informatics and Systemics (IIIS), United States of America, pp. 13-18, CCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies, Austin, United States of America, 14/08/04. <https://hdl.handle.net/1959.11/4534>

Content-Based Retrieval for A Database of Function Approximated Kamon Images. / Kwan, Paul Hing; Wada, Koichi; Otsu, Nobuyuki et al.
Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004. ed. / Hsing-Wei Chu; Michael Savoie; Kazuo Toraichi; Paul Kwan. United States of America: International Institute of Informatics and Systemics (IIIS), 2004. p. 13-18.

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

TY - GEN

T1 - Content-Based Retrieval for A Database of Function Approximated Kamon Images

AU - Kwan, Paul Hing

AU - Wada, Koichi

AU - Otsu, Nobuyuki

AU - Toraichi, Kazuo

PY - 2004

Y1 - 2004

N2 - In this paper, a content-based retrieval method for a database of Japanese kamon images is introduced. Kamons are traditional family emblems that have both commercial and historical research values. Our method is based on comparing the shape of geometric patterns in a pair of images by relaxation matching in which the objects and the labels are represented as function approximated contour segments. Images of closest similarity according to a scalar distance function are returned as output. Our goal is to include this method as an added value function in an existing software package based on kamons where the only available retrieval method is by keywords or pre-defined categories. This work is part of a government-funded research project to transfer technology from university to industry in order to increase its competitiveness. Experimental results on a database of 2,000 kamon images are included for evaluation.

AB - In this paper, a content-based retrieval method for a database of Japanese kamon images is introduced. Kamons are traditional family emblems that have both commercial and historical research values. Our method is based on comparing the shape of geometric patterns in a pair of images by relaxation matching in which the objects and the labels are represented as function approximated contour segments. Images of closest similarity according to a scalar distance function are returned as output. Our goal is to include this method as an added value function in an existing software package based on kamons where the only available retrieval method is by keywords or pre-defined categories. This work is part of a government-funded research project to transfer technology from university to industry in order to increase its competitiveness. Experimental results on a database of 2,000 kamon images are included for evaluation.

KW - Image Processing

UR - http://www.iiis.org/iiis/co_edit.asp?year=2004

UR - http://math.une.edu.au/~kwan/publications/pdf/cbir-kamon-CCCT04.pdf

M3 - Conference contribution

SN - 9806560175

SP - 13

EP - 18

BT - Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004

A2 - Chu, Hsing-Wei

A2 - Savoie, Michael

A2 - Toraichi, Kazuo

A2 - Kwan, Paul

PB - International Institute of Informatics and Systemics (IIIS)

CY - United States of America

T2 - CCCT 2004: 2nd International Conference on Computing, Communications and Control Technologies

Y2 - 14 August 2004 through 17 August 2004

ER -

Kwan PH, Wada K, Otsu N, Toraichi K. Content-Based Retrieval for A Database of Function Approximated Kamon Images. In Chu HW, Savoie M, Toraichi K, Kwan P, editors, Proceedings of the International Conference on Computing, Communications and Control Technologies: CCCT 2004. United States of America: International Institute of Informatics and Systemics (IIIS). 2004. p. 13-18

Content-Based Retrieval for A Database of Function Approximated Kamon Images

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