Emotion synthesis in the MPEG-4 framework
Man-machine interaction (MMI) systems that utilize multimodal information about users' current emotional state are presently at the forefront of interest of the computer vision and artificial intelligence communities. A lifelike human face can enhance interactive applications by providing straightforward feedback to and from the users and stimulating emotional responses from them. In this paper, we present an abstract means of description of facial expressions, by utilizing concepts included in the MPEG-4 standard to synthesize expressions using a reduced representation, suitable for networked and lightweight applications.