An Interactive Paper and Digital Pen Interface for Query-by-Sketch Image Retrieval

  • Roman Kreuzer
  • Michael Springmann
  • Ihab Al Kabary
  • Heiko Schuldt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)

Abstract

A major challenge when dealing with large collections of digital images is to find relevant objects, especially when no metadata on the objects is available. Content-based image retrieval (CBIR) addresses this problem but usually lacks query images that are good enough to express the user’s information need. Therefore, in Query-by-Sketch, CBIR has been considered with user provided sketches as query objects – but so far, this has suffered from the limitations of existing user interfaces. In this paper, we present a novel user interface for query by sketch that exploits emergent interactive paper and digital pen technology. Users can draw sketches on paper in a user-friendly way. Search can be started interactively from the paper front-end, due to a streaming interface from the digital pen to the underlying CBIR system. We present the implementation of the interactive paper/digital pen interface on top of QbS, our system for CBIR using sketches, and we present in detail the evaluation of the system on the basis of the MIRFLICKR-25000 image collection.

Keywords

Image Retrieval Target Image Graphic Tablet Interactive Paper Edge Histogram Descriptor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Roman Kreuzer
    • 1
  • Michael Springmann
    • 1
  • Ihab Al Kabary
    • 1
  • Heiko Schuldt
    • 1
  1. 1.Databases and Information Systems Group, Department of Mathematics and Computer ScienceUniversity of BaselSwitzerland

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