1. A method of automatically creating a scalable relevance ordered representation of an image collection, said method comprising: classifying the images in the image collection into a plurality of clusters based upon a feature of the images; determining a respective relevance level of each of the images contained in each of the plurality of clusters, comprising: rendering a first appeal map of each image using a first image dependent threshold value of a metric to determine a first appealing region; rendering a second appeal map of each image using a second image dependent threshold value of the metric to determine a second appealing region; determining a respective appealing region homogeneity measure of each image based on a similarity of the first and second appealing regions; and determining the respective relevance level of each image based at least upon the respective appealing region homogeneity measure; ordering the images in each of the plurality of clusters according to the respective relevance levels; and arranging the images from the ordered plurality of clusters according to a predefined arrangement process to create the scalable relevance ordered representation of the image collection.