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Multimedia Tools and Applications

, Volume 56, Issue 1, pp 35–62 | Cite as

Leveraging community metadata for multimodal image ranking

  • Fabian RichterEmail author
  • Stefan Romberg
  • Eva Hörster
  • Rainer Lienhart
Article

Abstract

Searching for relevant images given a query term is an important task in nowadays large-scale community databases. The image ranking approach presented in this work represents an image collection as a graph that is built using a multimodal similarity measure based on visual features and user tags. We perform a random walk on this graph to find the most common images. Further we discuss several scalability issues of the proposed approach and show how in this framework queries can be answered fast. Experimental results validate the effectiveness of the presented algorithm.

Keywords

Image ranking Image retrieval PageRank Graph 

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Fabian Richter
    • 1
    Email author
  • Stefan Romberg
    • 1
  • Eva Hörster
    • 1
  • Rainer Lienhart
    • 1
  1. 1.Multimedia Computing LabUniversity of AugsburgAugsburgGermany

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