Abstract

Automatic content analysis of animation movies can enable an objective understanding of character (actor) representations and their portrayals. It can also help illuminate potential markers of unconscious biases and their impact. However, multimedia analysis of movie content has predominantly focused on live-action features. A dearth of multimedia research in this field is because of the complexity and heterogeneity in the design of animated characters-an extremely challenging problem to be generalized by a single method or model. In this paper, we address the problem of automatically discovering characters in animation movies as a first step toward automatic character labeling in these media. Movie-specific character dictionaries can act as a powerful first step for subsequent content analysis at scale. We propose an unsupervised approach which requires no prior information about the characters in a movie …

Date

2017

Authors

Krishna Somandepalli, Naveen Kumar, Tanaya Guha, Shrikanth S Narayanan

Journal

IEEE Transactions on Multimedia

Volume

20

Issue

3

Pages

539-551

Publisher

IEEE