Image browsing on large high-resolution displays

Matthias Hoppe, Robin Boldt, Jan Strauß, Lars Lischke, Dominik Weber, Niels Henze

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


Visual exploration of large image data sets is a common and widely performed task. With the ubiquity of cameras, personal image collections are growing. Even when working with large high-resolution displays, collections are typically too large to display all images. In this work, we present two full-body, hands-free zooming interaction techniques for image exploration on large high-resolution displays that allow users to freely move in front of the display. We compare these techniques with state-of-the-art image browsing, where a large number of images is presented in a static grid. The first technique selects and enlarges whole columns by full-body-tracking of the user. The second technique additionally uses the height of the users head to select a single picture as a focus point. The results show that novel interaction techniques and visualizations for image sets on large high-resolution displays are required and can enhance the advantages of such displays.

Original languageEnglish
Title of host publicationMUM 2017 - 16th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
EditorsJulie Williamson, Stefan Schneegass
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Electronic)9781450353786
Publication statusPublished - 26 Nov 2017
Externally publishedYes
Event16th International Conference on Mobile and Ubiquitous Multimedia, MUM 2017 - Stuttgart, Germany
Duration: 26 Nov 201729 Nov 2017

Publication series

NameACM International Conference Proceeding Series


Conference16th International Conference on Mobile and Ubiquitous Multimedia, MUM 2017


  • Fisheye
  • Full-body interaction
  • High resolution
  • Image browsing
  • Large displays
  • Visual exploration
  • Zoom


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