Automatic image tag ranking scheme based on visual content semantic relatedness
Xiuqing Wu · 2011
An automatic image tag ranking scheme was proposed based on visual content semantic relatedness,which sorted the tags of the community-contributed images according to the semantic relatedness between tags and image contents.Firstly,the semantic relatedness calculation between tag and image content was formulated as a probabilistic problem based on Bayes' theorem.Then,multiple visual features were fused to obtain reasonable probability evaluation for tag-image content relatedness in different semantic themes.This method has high scalability.Extensive experiments were conducted over a dataset consisting of 149 915 images downloaded from Flickr and experimental results demonstrate the effectiveness of the proposed method.