MINI: a 3D mobile image browser with multi-dimensional datasets

  • Authors:
  • Ai Gomi;Takayuki Itoh

  • Affiliations:
  • Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan;Ochanomizu University, Otsuka, Bunkyo-ku, Tokyo, Japan

  • Venue:
  • Proceedings of the 27th Annual ACM Symposium on Applied Computing
  • Year:
  • 2012

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Abstract

Results of refined searches are often complicated because they have multi-dimensional attributes. Most of the existing retrieval systems display results in a grid or linear layout on small screens and do not visually represent the multi-dimensionality well. We think that multi-dimensional data visualization techniques can contribute to represent the distribution of the retrieval results based on multiple user-specified criteria and therefore assist the discovery of user-desired data items. This paper presents MINI (Mobile Image Navigate Interface), a novel 3D visualization system for retrieval results adopted to run on mobile platforms such as smart phones. MINI allows users to interactively browse multi-dimensional datasets based on priority of data items calculated from multiple user criteria. It achieves the display of retrieved data items in the 3D space while avoiding overlaps and preserving adequate representation of the items' priorities. It also supports interactive orientation and provides a zooming user interface. We expect users can conveniently browse the retrieval results as well as are able to easily select the desired data items through the use of touch panel screens. This paper also introduces the application of MINI in a recipe retrieval system, and the evaluation of effectiveness of the overlaps avoidance algorithm.