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

International audienceVisual annotation is still an open issue. The Content Based community admits thata plurality of features and systems shall be considered. We present in this paper fourvery different strategies using not only visual information but also text, to implementImageCLEF2009 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 ofthe model?s outputs. Q seems to be correlated with the model performances

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

International audienceVisual annotation is still an open issue. The Content Based community admits thata plurality of features and systems shall be considered. We present in this paper fourvery different strategies using not only visual information but also text, to implementImageCLEF2009 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 ofthe model?s outputs. Q seems to be correlated with the model performances