WeCard: a multimodal solution for making personalized electronic greeting cards

  • Authors:
  • Huijie Lin;Jia Jia;Hanyu Liao;Lianhong Cai

  • Affiliations:
  • Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China

  • Venue:
  • Proceedings of the 21st ACM international conference on Multimedia
  • Year:
  • 2013

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Abstract

In this demo, we build a practical system, WeCard, to generate personalized multimodal electronic greeting cards based on parametric emotional talking avatar synthesis technologies. Given user-input greeting text and facial image, WeCard intelligently and automatically generate the personalized speech with expressive lip-motion synchronized facial animation. Besides the parametric talking avatar synthesis, WeCard incorporates two key technologies: 1) automatical face mesh generation algorithm based on MPEG-4 FAPs (Facial Animation Parameters) extracted by the face alignment algorithm; 2) emotional audio-visual speech synchronization algorithm based on DBN. More specifically, WeCard merges the users? preferred electronic card scene with emotional talking avatar animation, turning the final content into flash or video file that can be easily shared with friends. By this way, WeCard can help you make your multimodal greetings to be more attractive, beautiful, and sincere.