Institute of Information Theories and Applications FOI ITHEA
A new distance function to compare arbitrary partitions is proposed. Clustering of image collections
and image segmentation give objects to be matched. Offered metric intends for combination of visual features
and metadata analysis to solve a semantic gap between low-level visual features and high-level human concept.