Fuzzy Semantic Action and Color Characterization of Animation Movies in the Video Indexing Task Context

Abstract

This paper presents a fuzzy statistical approach for the semantic content characterization of the animation movies. The movie action content and color properties play an important role in the understanding of the movie content, being related to the artistic signature of the author. That is why the proposed approach is carried out by analyzing several statistical parameters which are computed both from the movie shot distribution and the global color distribution. The first category of parameters represents the movie mean shot change speed, the transition ratio and the action ratio while the second category represents the color properties in terms of color intensity, warmth, saturation and color relationships. The semantic content characterizations are achieved from the low-level parameters using a fuzzy representation approach. Hence, the movie content is described in terms of action, mystery, explosivity, predominant hues, color contrasts and the color harmony schemes. Several experimental tests were performed on an animation movie database. Moreover, a classification test was conducted to prove the discriminating power of the proposed semantic descriptions for their prospective use as semantic indexes in a content-based video retrieval system.