Similarity measurement for animation movies

Abstract

When considering the quantity of multimedia content that people and professionals accumulate day by day on their storage devices, the necessity of appropriate intelligent tools for searching or navigating, becomes an issue. Nevertheless, the richness of such media is difficult to handle with today's video analysis algorithm. In this context, we propose a similarity measure dedicated to animation movies. This measure is based on the fuzzy fusion of low level descriptors. We focus on the use of a Choquet Integral based fuzzy approach which is proved to be a good solution to take into account complementarity or conflict between fused data and so to model a human like similarity measure. Subjective tests with human observers have been carried out to validate the model. © 2011 Springer-Verlag Berlin Heidelberg.