GeoTime-based tag ranking model for automatic image annotation
Mădălina Mitran, Guillaume Cabanac, Mohand Boughanem · 2014
In this paper, we propose a novel GeoTime-based tag ranking model to address the automatic image annotation problem. Our aim is to assign relevant descriptors to a query image using textual, spatial, and temporal clues from nearby images. The assumption behind our model is that tags associated with images that are closer in time and space with a query image are more likely to be relevant to it.