Towards actor/actress identification in drama videos

Abstract

This paper addresses to achieve an automated actor/actress annotation system for drama videos. As key technologies, face sequence extraction and matching methods applicable to actual drama videos are presented. The methods are then applied to realize a semi-automated actor/actress annotation system. After the system is trained using an episode of a drama series by given several tens of manual annotations to face sequences, it can automatically annotate face sequences not only of the trained episode, but of the other episodes of the drama series. Experimental results show that the system achieves around 70% accuracy in face sequence annotation using 40 manual annotations as the training set.