Automatic Categorization of Image Databases Using Web Folksonomies

Traditional image classification techniques are based on the analysis of low-level visual features or on textual information. In this paper, we describe a novel solution which tries to improve image analysis and processing algorithms by incorporating keywords and textual annotation produced by humans in a folksonomy environment, namely Flickr. The obtained experimental results demonstrate that the proposed categorization process achieves quite good performances in terms of efficiency and effectiveness.