This paper presents an approach to affective video summarization based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a v...
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu ...
We present a system for realistic facial animation that decomposes facial motion capture data into semantically meaningful motion channels based on the Facial Action Coding System...
This paper presents a novel technique for the generation of ‘video textures’ to display human emotion. This is achieved by a method which uses existing video footage to synthe...
Lisa Gralewski, Neill W. Campbell, Barry T. Thomas...
This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...