Ancient Roman coin retrieval: a systematic examination of the effects of coin grade

Callum Fare; Ognjen Arandelovic

doi:10.1007/978-3-319-56608-5_32

Ancient Roman coin retrieval: a systematic examination of the effects of coin grade

Callum Fare, Ognjen Arandelovic

School of Computer Science

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

Abstract

Ancient coins are historical artefacts of great significance which attract the interest of scholars, and a large and growing number of amateur collectors. Computer vision based analysis and retrieval of ancient coins holds much promise in this realm, and has been the subject of an increasing amount of research. The present work is in great part motivated by the lack of systematic evaluation of the existing methods in the context of coin grade which is one of the key challenges both to humans and automatic methods. We describe a series of methods – some being adopted from previous work and others as extensions thereof – and perform the first thorough analysis to date.

Original language	English
Title of host publication	Advances in Information Retrieval
Subtitle of host publication	39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings
Editors	Joemon M Jose, Claudia Hauff, Ismail Sengor Altıngovde , Dawei Song, Dyaa Albakour, Stuart Watt, John Tait
Place of Publication	Cham
Publisher	Springer
Pages	410-423
ISBN (Electronic)	9783319566085
ISBN (Print)	9783319566078
DOIs	https://doi.org/10.1007/978-3-319-56608-5_32
Publication status	Published - 13 Apr 2017
Event	39th European Conference on IR Research - Aberdeen Exhibition and Conference Centre, Aberdeen, United Kingdom Duration: 9 Apr 2017 → 13 Apr 2017 Conference number: 39 http://ecir2017.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer. Cham
Volume	10193
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	39th European Conference on IR Research
Abbreviated title	ECIR
Country/Territory	United Kingdom
City	Aberdeen
Period	9/04/17 → 13/04/17
Internet address	http://ecir2017.org/

Access to Document

10.1007/978-3-319-56608-5_32

Fare_2017_Ancient_ECIR_AAM
© 2017, Springer International Publishing AG . This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at link.springer.com / https://doi.org/10.1007/978-3-319-56608-5_32
Accepted author manuscript, 449 KB

Cite this

Fare, C., & Arandelovic, O. (2017). Ancient Roman coin retrieval: a systematic examination of the effects of coin grade. In J. M. Jose, C. Hauff, I. S. Altıngovde , D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings (pp. 410-423). (Lecture Notes in Computer Science; Vol. 10193). Springer. https://doi.org/10.1007/978-3-319-56608-5_32

Fare, Callum ; Arandelovic, Ognjen. / Ancient Roman coin retrieval : a systematic examination of the effects of coin grade. Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. editor / Joemon M Jose ; Claudia Hauff ; Ismail Sengor Altıngovde ; Dawei Song ; Dyaa Albakour ; Stuart Watt ; John Tait. Cham : Springer, 2017. pp. 410-423 (Lecture Notes in Computer Science).

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abstract = "Ancient coins are historical artefacts of great significance which attract the interest of scholars, and a large and growing number of amateur collectors. Computer vision based analysis and retrieval of ancient coins holds much promise in this realm, and has been the subject of an increasing amount of research. The present work is in great part motivated by the lack of systematic evaluation of the existing methods in the context of coin grade which is one of the key challenges both to humans and automatic methods. We describe a series of methods – some being adopted from previous work and others as extensions thereof – and perform the first thorough analysis to date.",

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Fare, C & Arandelovic, O 2017, Ancient Roman coin retrieval: a systematic examination of the effects of coin grade. in JM Jose, C Hauff, IS Altıngovde , D Song, D Albakour, S Watt & J Tait (eds), Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. Lecture Notes in Computer Science, vol. 10193, Springer, Cham, pp. 410-423, 39th European Conference on IR Research, Aberdeen, United Kingdom, 9/04/17. https://doi.org/10.1007/978-3-319-56608-5_32

Ancient Roman coin retrieval: a systematic examination of the effects of coin grade. / Fare, Callum; Arandelovic, Ognjen.
Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. ed. / Joemon M Jose; Claudia Hauff; Ismail Sengor Altıngovde ; Dawei Song; Dyaa Albakour; Stuart Watt; John Tait. Cham: Springer, 2017. p. 410-423 (Lecture Notes in Computer Science; Vol. 10193).

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

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N2 - Ancient coins are historical artefacts of great significance which attract the interest of scholars, and a large and growing number of amateur collectors. Computer vision based analysis and retrieval of ancient coins holds much promise in this realm, and has been the subject of an increasing amount of research. The present work is in great part motivated by the lack of systematic evaluation of the existing methods in the context of coin grade which is one of the key challenges both to humans and automatic methods. We describe a series of methods – some being adopted from previous work and others as extensions thereof – and perform the first thorough analysis to date.

AB - Ancient coins are historical artefacts of great significance which attract the interest of scholars, and a large and growing number of amateur collectors. Computer vision based analysis and retrieval of ancient coins holds much promise in this realm, and has been the subject of an increasing amount of research. The present work is in great part motivated by the lack of systematic evaluation of the existing methods in the context of coin grade which is one of the key challenges both to humans and automatic methods. We describe a series of methods – some being adopted from previous work and others as extensions thereof – and perform the first thorough analysis to date.

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Fare C, Arandelovic O. Ancient Roman coin retrieval: a systematic examination of the effects of coin grade. In Jose JM, Hauff C, Altıngovde IS, Song D, Albakour D, Watt S, Tait J, editors, Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. Cham: Springer. 2017. p. 410-423. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-56608-5_32

Ancient Roman coin retrieval: a systematic examination of the effects of coin grade

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