ICLIC: interactive categorization of large image collections

Paul Van Der Corput; Jarke J. van Wijk

doi:10.1109/PACIFICVIS.2016.7465263

ICLIC: interactive categorization of large image collections

Paul Van Der Corput, Jarke J. van Wijk

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

10 Citations (Scopus)

1 Downloads (Pure)

Abstract

We present a new approach for the analysis of large image collections. We argue that categorization plays an important role in this process, not only to label images as end result, but also during exploration. Furthermore, to increase the effectiveness and efficiency of the categorization process we enable the use of all available metadata, treated as multivariate data. We identified images, attributes, and categories as important aspects and integrated these in a system called ICLIC. The system consists of four views that are connected by the selection of images, which is a central action in the approach. By using a minimalist interface with only standard metaphors, users are enabled to use the system in short time. The system enables complex queries in a natural way, and it can deal with collections containing more than 100,000 images and more than 1,000 metadata attributes. This was confirmed by two evaluation cycles with domain experts.

Original language	English
Title of host publication	2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	152-159
Number of pages	8
Volume	2016
ISBN (Electronic)	9781509014514
DOIs	https://doi.org/10.1109/PACIFICVIS.2016.7465263
Publication status	Published - 4 May 2016
Event	9th IEEE Pacific Visualization Symposium, PacificVis 2016 - Taipei, Taiwan Duration: 19 Apr 2016 → 22 Apr 2016

Conference

Conference	9th IEEE Pacific Visualization Symposium, PacificVis 2016
Country/Territory	Taiwan
City	Taipei
Period	19/04/16 → 22/04/16

Keywords

H.5.2 [Information Systems]: User Interfaces - Graphical user interfaces
H.5.2 [Information Systems]: User interfaces - Interaction styles

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10.1109/PACIFICVIS.2016.7465263

Cite this

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title = "ICLIC: interactive categorization of large image collections",

abstract = "We present a new approach for the analysis of large image collections. We argue that categorization plays an important role in this process, not only to label images as end result, but also during exploration. Furthermore, to increase the effectiveness and efficiency of the categorization process we enable the use of all available metadata, treated as multivariate data. We identified images, attributes, and categories as important aspects and integrated these in a system called ICLIC. The system consists of four views that are connected by the selection of images, which is a central action in the approach. By using a minimalist interface with only standard metaphors, users are enabled to use the system in short time. The system enables complex queries in a natural way, and it can deal with collections containing more than 100,000 images and more than 1,000 metadata attributes. This was confirmed by two evaluation cycles with domain experts.",

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author = "{Van Der Corput}, Paul and {van Wijk}, {Jarke J.}",

year = "2016",

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doi = "10.1109/PACIFICVIS.2016.7465263",

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note = "9th IEEE Pacific Visualization Symposium, PacificVis 2016 ; Conference date: 19-04-2016 Through 22-04-2016",

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N2 - We present a new approach for the analysis of large image collections. We argue that categorization plays an important role in this process, not only to label images as end result, but also during exploration. Furthermore, to increase the effectiveness and efficiency of the categorization process we enable the use of all available metadata, treated as multivariate data. We identified images, attributes, and categories as important aspects and integrated these in a system called ICLIC. The system consists of four views that are connected by the selection of images, which is a central action in the approach. By using a minimalist interface with only standard metaphors, users are enabled to use the system in short time. The system enables complex queries in a natural way, and it can deal with collections containing more than 100,000 images and more than 1,000 metadata attributes. This was confirmed by two evaluation cycles with domain experts.

AB - We present a new approach for the analysis of large image collections. We argue that categorization plays an important role in this process, not only to label images as end result, but also during exploration. Furthermore, to increase the effectiveness and efficiency of the categorization process we enable the use of all available metadata, treated as multivariate data. We identified images, attributes, and categories as important aspects and integrated these in a system called ICLIC. The system consists of four views that are connected by the selection of images, which is a central action in the approach. By using a minimalist interface with only standard metaphors, users are enabled to use the system in short time. The system enables complex queries in a natural way, and it can deal with collections containing more than 100,000 images and more than 1,000 metadata attributes. This was confirmed by two evaluation cycles with domain experts.

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KW - H.5.2 [Information Systems]: User interfaces - Interaction styles

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BT - 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings

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ICLIC: interactive categorization of large image collections

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