Sketch-based image similarity search with a pen and paper interface

  • Authors:
  • Ihab Al Kabary;Heiko Schuldt

  • Affiliations:
  • Basel University (unibas.ch), Basel, Switzerland;Basel University (unibas.ch), Basel, Switzerland

  • Venue:
  • SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2012

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Abstract

We present a novel and innovative user interface for query-by-sketching based image retrieval that exploits emergent interactive paper and digital pen technology. Users can draw sketches with a digital pen on interactive paper in a user-friendly way. The pen is able to capture the stroke vectors and to interactively stream them to the underlying content-based image retrieval (CBIR) system via the pen's Bluetooth interface. We present the integration of interactive paper/digital pen technology with QbS, our CBIR system tailored to Query-by-Sketching, and we demonstrate the use of the paper and pen interface together with QbS for three different collections: MIRFLICKR-25K, a cartoon collection, and a collection of medieval paper watermarks.