ICLIC: interactive categorization of large image collections

Paul Van Der Corput, Jarke J. van Wijk

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
1 Downloads (Pure)


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 languageEnglish
Title of host publication2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings
PublisherIEEE Computer Society
Number of pages8
ISBN (Electronic)9781509014514
Publication statusPublished - 4 May 2016
Event9th IEEE Pacific Visualization Symposium, PacificVis 2016 - Taipei, Taiwan
Duration: 19 Apr 201622 Apr 2016


Conference9th IEEE Pacific Visualization Symposium, PacificVis 2016


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


Dive into the research topics of 'ICLIC: interactive categorization of large image collections'. Together they form a unique fingerprint.

Cite this