graph-cut based tag enrichment
In this paper, a graph cut based tag enrichment approach is proposed. We build a graph for each image with its initial tags. The graph is with two terminals. Nodes of the graph are full connected with each other. Min-cut/max-flow algorithm is utilized to find the relevant tags for the image. Experiments on Flickr dataset demonstrate the effectiveness of the proposed graph-cut based tag enrichment approach.
tag enrichment graph cut min-cut/max-flow flickr tag ranking