ImageMap - Visually Browsing Millions of Images

  • Kai Uwe Barthel
  • Nico Hezel
  • Radek Mackowiak
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8936)


In this paper we showcase ImageMap - an image browsing system to visually explore and search millions of images from stock photo agencies and the like. Similar to map services like Google Maps users may navigate through multiple image layers by zooming and dragging. Zooming in (or out) shows more (or less) similar images from lower (or higher) levels. Dragging the view shows related images from the same level. Layers are organized as an image pyramid which is build using image sorting and clustering techniques. Easy image navigation is achieved because the placement of the images in the pyramid is based on an improved fused similarity calculation using visual and semantic image information. Our system also allows to perform searches. After starting an image search the user is automatically directed to a region with suiting results. This paper describes how to efficiently construct an easily navigable image pyramid even if the total number of images is huge.


Exploration Image Browsing Visualization Navigation CBIR 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Kai Uwe Barthel
    • 1
  • Nico Hezel
    • 1
  • Radek Mackowiak
    • 1
  1. 1.HTW Berlin, University of Applied Sciences – Visual Computing GroupBerlinGermany

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