Presenting and visualizing results on an image retrieval user interface

The volume of images available online has increased significantly but the choices offered by image retrieval systems have not kept pace. We describe the design and evaluation of a ’high density’ im-age search interface focusing on the results pages. We quantitatively and qualitatively compared image presentation on a high density interface with a traditional image search interface. Our re-sults show that users had major problems with high-density interfaces for images due to infor-mation overload. We point to further work which could improve the user experience.

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Conference

Publication date: July 2017

Publication date (Print): July 2017

Pages: 1-6

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[ ¹ ]Ambisense Ltd

[ ² ]Centre for HCI Design, School of Mathematics, Computer Science and Engineering, University of London

Article

DOI: 10.14236/ewic/HCI2017.5

SO-VID: 20bc0a44-6c00-4986-b03d-d515510ae524

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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: Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

Conference acronym: HCI

Conference number: 31

Conference location: Sunderland, UK

Conference date: 3 - 6 July 2017

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: digital make-believe, with delegates considering our expansive

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.5

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

References

P. BolettieriA. EsuliF. FalchiC. LuccheseR. PeregoT. PiccioliF. Rabitti 2009 CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627
P. BrivioM. TariniF. PonchioP. CignoniR. Scopigno 2012 PileBars: Scalable Dynamic Thumbnail Bars VAST 49 56
R. ButterworthGöker 2011 The potential of a 'high density' image retrieval interface. Proceedings of HCIR 2011 Available on [https://sites.google.com/site/hcirworkshop/hcir-2011/posters-visited:8<sup>th</sup>May 2017]
I. J. CoxM. L. MillerT. P. MinkaT. V. PapathomasP. N. Yianilos 2000 The Bayesian Image Retrieval System, PicHunter: Theory, Implementation, and Psychophysical Experiments IEEE Transactions on Image Processing 9 20 37
R. DattaD. JoshiJ. LiJ.Z. Wang 2008 Image Retrieval: Ideas, Influences, and Trends of the New Age ACM Comp. Sur 40 5 1 60
A. GökerR. ButterworthA. MacFarlaneT AhmedS. Stumpf 2017 Presenting and visualizing image results for professional image searchers: A field evaluation Proceedings of British HCI (in this volume)
D. F. HuynhS. M. DruckerP. BaudischC. Wong 2005 Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections Proc CHI'05 extended abstracts on Human factors in computing systems 1937 1940 ACM Press New York
G. P. NguyenM. Worring 2006 Interactive access to large image collections using similarity-based visualization J. Visual Lang.Comp 19 203 224
W. PlantG. Schaefer 2011 Visualisation and browsing of Image Databases Multimedia Analysis, Processing and Communications, Studies in Computational Intelligence 346 W. LinD. TaoJ. KacprzykE. IzquierdoH. Wang Springer-Verlag 3 57
S. RobertsonS. WalkerS. JonesM. Hancock-BeaulieuM. Gatford 1994 Okapi at TREC-3 Proc. TREC-3 109 126 NIST Gaithersburg
K. Rodden 2002 Evaluating similarity-based visualisations as interfaces for image browsing University of Cambridge Computer Laboratory Technical Report 543 UCAM-CL-TR-543
K. RoddenW. BasalajD. SinclairK. Wood 1999 Evaluating a Visualisation of Image Similarity as Tool for Image Browsing IEEE Symposium on Information Visualisation 36 43 IEEE Press Hoboken, N
K. RoddenK.R. Wood 2003 How do people manage their digital photographs Proc. CHI 2003 409 416 ACM Press New York
S.J. Rose 1999 The Sunflower visual metaphor, A new paradigm for dimensional compression IEEE Symposium on Information Visualisation 128 131 IEEE Press Hoboken, N.J
M. Santos 2016 The Unberable Homogeneity of Design Available on http://tinyurl.com/kpkqy6d 29th March 2017
G. SmithM. CzerwinskiB. MeyersD. RobbinsG. RobertsonD. S. Tan 2006 Facetmap: A scalable search and browse visualization IEEE Trans. Vis.Comp. Graphics 12 797 803
B. SuhH. LingB.B. BedersonD.W. Jacobs 2003 Automatic thumbnail cropping and its effectiveness Proc.16th annual ACm symposium on User interface software and technology 95 104 ACM Press New York
R.S. TorresC.G. SilvaC.B. MedeirosH.V. Rocha 2003 Visual Structures for Image Browsing Proc. CIKM 2004 49 55 ACM Press New York
H Vogel 1979 A better way to construct the sunflower head Math. Biosci 44 179 189
R. WangS. J. McKennaJ. HanA. A. Ward 2010 Visualizing Image Collections using High-Entropy Layout Distributions IEEE Trans. Multimedia 12 803 813
C. WangJ. P. ReeseH. ZhangJ. TaoR. J. Nemiroff 2013 iMap: a stable layout for navigating large image collections with embedded search IS&T/SPIE Electronic Imaging (pp.86540K-86540K). International Society for Optics and Photonics
Xapian Project https://xapian.org/ 9th May 2017

Comments

Comment on this article

[1] P. BolettieriA. EsuliF. FalchiC. LuccheseR. PeregoT. PiccioliF. Rabitti 2009 CoPhIR: a Test Collection for Content-Based Image Retrieval. CoRR abs/0905.4627

[2] P. BrivioM. TariniF. PonchioP. CignoniR. Scopigno 2012 PileBars: Scalable Dynamic Thumbnail Bars VAST 49 56

[3] R. ButterworthGöker 2011 The potential of a 'high density' image retrieval interface. Proceedings of HCIR 2011 Available on [https://sites.google.com/site/hcirworkshop/hcir-2011/posters-visited:8<sup>th</sup>May 2017]

[4] I. J. CoxM. L. MillerT. P. MinkaT. V. PapathomasP. N. Yianilos 2000 The Bayesian Image Retrieval System, PicHunter: Theory, Implementation, and Psychophysical Experiments IEEE Transactions on Image Processing 9 20 37

[5] R. DattaD. JoshiJ. LiJ.Z. Wang 2008 Image Retrieval: Ideas, Influences, and Trends of the New Age ACM Comp. Sur 40 5 1 60

[6] A. GökerR. ButterworthA. MacFarlaneT AhmedS. Stumpf 2017 Presenting and visualizing image results for professional image searchers: A field evaluation Proceedings of British HCI (in this volume)

[7] D. F. HuynhS. M. DruckerP. BaudischC. Wong 2005 Time quilt: scaling up zoomable photo browsers for large, unstructured photo collections Proc CHI'05 extended abstracts on Human factors in computing systems 1937 1940 ACM Press New York

[8] G. P. NguyenM. Worring 2006 Interactive access to large image collections using similarity-based visualization J. Visual Lang.Comp 19 203 224

[9] W. PlantG. Schaefer 2011 Visualisation and browsing of Image Databases Multimedia Analysis, Processing and Communications, Studies in Computational Intelligence 346 W. LinD. TaoJ. KacprzykE. IzquierdoH. Wang Springer-Verlag 3 57

[10] S. RobertsonS. WalkerS. JonesM. Hancock-BeaulieuM. Gatford 1994 Okapi at TREC-3 Proc. TREC-3 109 126 NIST Gaithersburg

[11] K. Rodden 2002 Evaluating similarity-based visualisations as interfaces for image browsing University of Cambridge Computer Laboratory Technical Report 543 UCAM-CL-TR-543

[12] K. RoddenW. BasalajD. SinclairK. Wood 1999 Evaluating a Visualisation of Image Similarity as Tool for Image Browsing IEEE Symposium on Information Visualisation 36 43 IEEE Press Hoboken, N

[13] K. RoddenK.R. Wood 2003 How do people manage their digital photographs Proc. CHI 2003 409 416 ACM Press New York

[14] S.J. Rose 1999 The Sunflower visual metaphor, A new paradigm for dimensional compression IEEE Symposium on Information Visualisation 128 131 IEEE Press Hoboken, N.J

[15] M. Santos 2016 The Unberable Homogeneity of Design Available on http://tinyurl.com/kpkqy6d 29th March 2017

[16] G. SmithM. CzerwinskiB. MeyersD. RobbinsG. RobertsonD. S. Tan 2006 Facetmap: A scalable search and browse visualization IEEE Trans. Vis.Comp. Graphics 12 797 803

[17] B. SuhH. LingB.B. BedersonD.W. Jacobs 2003 Automatic thumbnail cropping and its effectiveness Proc.16th annual ACm symposium on User interface software and technology 95 104 ACM Press New York

[18] R.S. TorresC.G. SilvaC.B. MedeirosH.V. Rocha 2003 Visual Structures for Image Browsing Proc. CIKM 2004 49 55 ACM Press New York

[19] H Vogel 1979 A better way to construct the sunflower head Math. Biosci 44 179 189

[20] R. WangS. J. McKennaJ. HanA. A. Ward 2010 Visualizing Image Collections using High-Entropy Layout Distributions IEEE Trans. Multimedia 12 803 813

[21] C. WangJ. P. ReeseH. ZhangJ. TaoR. J. Nemiroff 2013 iMap: a stable layout for navigating large image collections with embedded search IS&T/SPIE Electronic Imaging (pp.86540K-86540K). International Society for Optics and Photonics

[22] Xapian Project https://xapian.org/ 9th May 2017

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