Semantic hierarchies for image annotation: A survey

  • Authors:
  • Anne-Marie Tousch;StéPhane Herbin;Jean-Yves Audibert

  • Affiliations:
  • ONERA - The French Aerospace Lab, Palaiseau, France and Université Paris-Est/Ecole des Ponts ParisTech/IMAGINE, Marne-La-Vallée, France;ONERA - The French Aerospace Lab, Palaiseau, France;Université Paris-Est/Ecole des Ponts ParisTech/IMAGINE, Marne-La-Vallée, France and SIERRA - ENS/INRIA, Paris, France

  • Venue:
  • Pattern Recognition
  • Year:
  • 2012

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Abstract

In this survey, we argue that using structured vocabularies is capital to the success of image annotation. We analyze literature on image annotation uses and user needs, and we stress the need for automatic annotation. We briefly expose the difficulties posed to machines for this task and how it relates to controlled vocabularies. We survey contributions in the field showing how structures are introduced. First we present studies that use unstructured vocabulary, focusing on those introducing links between categories or between features. Then we review work using structured vocabularies as an input and analyze how the structure is exploited.