Logo retrieval with a contrario visual query expansion

  • Authors:
  • Alexis Joly;Olivier Buisson

  • Affiliations:
  • INRIA Rocquencourt, Le Chesnay, France;INA, Bry sur Marne, France

  • Venue:
  • MM '09 Proceedings of the 17th ACM international conference on Multimedia
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a new content-based retrieval framework applied to logo retrieval in large natural image collections. The first contribution is a new challenging dataset, called BelgaLogos, which was created in collaboration with professionals of a press agency, in order to evaluate logo retrieval technologies in real-world scenarios. The second and main contribution is a new visual query expansion method using an a contrario thresholding strategy in order to improve the accuracy of expanded query images. Whereas previous methods based on the same paradigm used a purely hand tuned fixed threshold, we provide a fully adaptive method enhancing both genericity and effectiveness. This new technique is evaluated on both OxfordBuilding dataset and our new BelgaLogos dataset.