Robust Feature Bundling

  • Stefan Romberg
  • Moritz August
  • Christian X. Ries
  • Rainer Lienhart
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7674)

Abstract

In this work we present a feature bundling technique that aggregates individual local features with features from their spatial neighborhood into bundles. The resulting bundles carry more information of the underlying image content than single visual words. As in practice an exact search for such bundles is infeasible, we employ a robust approximate similarity search with min-hashing in order to retrieve images containing similar bundles.

We demonstrate the benefits of these bundles for small object retrieval, i.e. logo recognition, and generic image retrieval. Multiple bundling strategies are explored and thoroughly evaluated on three different datasets.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Stefan Romberg
    • 1
  • Moritz August
    • 1
  • Christian X. Ries
    • 1
  • Rainer Lienhart
    • 1
  1. 1.Multimedia Computing and Computer Vision LabAugsburg UniversityGermany

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