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Poster De Conférence Année : 2009

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness

Hervé Glotin
Philippe Mulhem
  • Fonction : Auteur
Zhong-Qiu Zhao
  • Fonction : Auteur
Hichem Sahbi
Emilie Dumont
  • Fonction : Auteur

Résumé

Visual annotation is still an open issue. The Content Based community admits that a plurality of features and systems shall be considered. We present in this paper four very different strategies using not only visual information but also text, to implement ImageCLEF2009 Photo Annotation Task. The visual features are various, such as HSV, Gabor, EDGE, SIFT, and some more recent. Then we study each model performances, and propose a new measure, the Carefulness Index (Q) computed on the histogram of the model?s outputs. Q seems to be correlated with the model performances.
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Dates et versions

hal-01126014 , version 1 (06-03-2015)

Identifiants

  • HAL Id : hal-01126014 , version 1

Citer

Hervé Glotin, Ali Fakeri-Tabrizi, Philippe Mulhem, Marin Ferecatu, Zhong-Qiu Zhao, et al.. Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness. Image Cross Language Evaluation Forum (ImageClef 2009), Sep 2009, Corfu, Greece. ceur-ws.org, 1175, 2009, CEUR Workshop Proceedings. ⟨hal-01126014⟩
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