Which Entry is More Similar? A Non-linear Visualisation of Query Results in Image Retrieval and Image Recognition Problem

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Which Entry is More Similar? A Non-linear Visualisation of Query Results in Image Retrieval and Image Recognition Problem

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Author(s): Joanna Gancarczyk , Anna Olszewska

Publication date (Print): July 2017

Conference name: Electronic Visualisation and the Arts (EVA 2017) (EVA)

Conference theme: Electronic Visualisation and the Arts

Conference date: 11 – 13 July 2017

Keywords: CBIR, Data visualisation, Digital print room exploration, Shape descriptors, Pattern similarity measure

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Author and article information

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Joanna Gancarczyk

Anna Olszewska

Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 74-80

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[0001]University of Bielsko-Biała

Blelsko-Biała, Poland

[0002]AGH University of Science and Technology

Kraków, Poland

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DOI: 10.14236/ewic/EVA2017.14

SO-VID: 80e2e6cc-51ac-4be9-abda-0318487f5c14

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2017)

Conference acronym: EVA

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Conference location: London, UK

Conference date: 11 – 13 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2017.14

Self URI (journal page): https://ewic.bcs.org/

5. REFERENCES

C. M. Briquet 1923 Les filigranes dictionnaire historique des marques du papier des leurs apparition vers 1282 jusqu’en 1600
P. BürgisserF. Cucker 2013 Condition: The geometry of numerical algorithms 349 Springer Science & Business Media
J. P. EakinsJ. E. BrownJ. RileyR. Mulholland 2001 Evaluating a shape retrieval system for watermark images A. Bendkowska Digital Art History - A Subject in Transition: Opportunities and Problems CHArt Conference Proceedings
M. C. Ferreira de OliveiraH. Levkowitz 2003 From visual data exploration to visual data mining: a survey IEEE Transactions on Visualization and Computer Graphics 9 3 378 394 July
E. H. Gombrich 1979 The Sense of Order: A study in the psychology of decorative art Cornell University Press
V. N. GudivadaV. V. Raghavan 1995 Content based image retrieval systems Computer 28 9 18 22
Y. LeCunL. BottouY. BengioP. Haffner 1998 Gradient-based learning applied to document recognition Proceedings of the IEEE.
F. Lugt Les marques de collections de dessins & d’estampes. The new edition on-line http://www.fondationcustodia.fr/english/merkenboek/default.cfm?gr=menu2 24 February 2017
G. K. Nagler 1860 Die Monogrammisten und diejenigen bekannten und und unberkannten Künstler aller Schulen. G. Hirth’s Verlag
C. RauberT. PunP. F. Tschudin 1997 Retrieval of images from a library of water-marks for ancient paper identification Proc. Second ACM International Conference on Digital Libraries ACM New York, USA 123 130
L. J. P. Van der MaatenG. E. Hinton 2008 Visualizing High-Dimensional Data Using t-SNE Journal of Machine Learning Research 9 2579 2260 November
R. C. VeltkampL. J. Latecki 2006 Properties and performance of shape similarity measures Data Science and Classification 47 56 Springer Berlin Heidelberg
Z. J. ZhaL. YangT. MeiM. WangZ. WangT. S. ChuaX. S. Hua 2010 Visual query suggestion: Towards capturing user intent in internet image search ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 6 3 13
D. ZhangG. Lu 2004 Review of shape representation and description techniques Pattern Recognition 37 1 1 19

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[1] C. M. Briquet 1923 Les filigranes dictionnaire historique des marques du papier des leurs apparition vers 1282 jusqu’en 1600

[2] P. BürgisserF. Cucker 2013 Condition: The geometry of numerical algorithms 349 Springer Science & Business Media

[3] J. P. EakinsJ. E. BrownJ. RileyR. Mulholland 2001 Evaluating a shape retrieval system for watermark images A. Bendkowska Digital Art History - A Subject in Transition: Opportunities and Problems CHArt Conference Proceedings

[4] M. C. Ferreira de OliveiraH. Levkowitz 2003 From visual data exploration to visual data mining: a survey IEEE Transactions on Visualization and Computer Graphics 9 3 378 394 July

[5] E. H. Gombrich 1979 The Sense of Order: A study in the psychology of decorative art Cornell University Press

[6] V. N. GudivadaV. V. Raghavan 1995 Content based image retrieval systems Computer 28 9 18 22

[7] Y. LeCunL. BottouY. BengioP. Haffner 1998 Gradient-based learning applied to document recognition Proceedings of the IEEE.

[8] F. Lugt Les marques de collections de dessins & d’estampes. The new edition on-line http://www.fondationcustodia.fr/english/merkenboek/default.cfm?gr=menu2 24 February 2017

[9] G. K. Nagler 1860 Die Monogrammisten und diejenigen bekannten und und unberkannten Künstler aller Schulen. G. Hirth’s Verlag

[10] C. RauberT. PunP. F. Tschudin 1997 Retrieval of images from a library of water-marks for ancient paper identification Proc. Second ACM International Conference on Digital Libraries ACM New York, USA 123 130

[11] L. J. P. Van der MaatenG. E. Hinton 2008 Visualizing High-Dimensional Data Using t-SNE Journal of Machine Learning Research 9 2579 2260 November

[12] R. C. VeltkampL. J. Latecki 2006 Properties and performance of shape similarity measures Data Science and Classification 47 56 Springer Berlin Heidelberg

[13] Z. J. ZhaL. YangT. MeiM. WangZ. WangT. S. ChuaX. S. Hua 2010 Visual query suggestion: Towards capturing user intent in internet image search ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 6 3 13

[14] D. ZhangG. Lu 2004 Review of shape representation and description techniques Pattern Recognition 37 1 1 19

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Which Entry is More Similar? A Non-linear Visualisation of Query Results in Image Retrieval and Image Recognition Problem

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