Cinematics and Narratives: An Exploitation of Real-Time Animation

The research goal of project Cinematics and Narratives is to significantly explore approaches to the development of contemporary animation. CaN is comprised of three integrated objectives, the first is focused on developing and exploiting real-time animation and content within the context of a visual and narrative design based repository of primitives, the second explores the dynamic of context, exposition and expression, mixing our design primitives into a new dynamic form, and the third goal is to interfaces this system with an audience in such a way as to enable the system to learn from viewer reaction, where the system automatically refines the design based on the emotive input of the viewer.

[1]  S. Nowicki,et al.  Individual differences in the nonverbal communication of affect: The diagnostic analysis of nonverbal accuracy scale , 1994 .

[2]  J. Russell A circumplex model of affect. , 1980 .

[3]  S. Planalp Communicating emotion in everyday life: Cues, channels, and processes , 1996 .

[4]  R. Riggio Before Emotional Intelligence: Research on Nonverbal, Emotional, and Social Competences , 2010, Industrial and Organizational Psychology.

[5]  James Ze Wang,et al.  Content-based image retrieval: approaches and trends of the new age , 2005, MIR '05.

[6]  Judith A. Hall,et al.  Gender differences in nonverbal communication of emotion , 2000 .

[7]  P. Ekman,et al.  Coherence between expressive and experiential systems in emotion , 1994 .

[8]  Laura K. Guerrero,et al.  Handbook of communication and emotion : research, theory, applications, and contexts , 1998 .

[9]  Takeo Kanade,et al.  Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[10]  Tammy M. Bourg The role of emotion, empathy, and text structure in children's and adults' narrative text comprehension. , 1996 .

[11]  Kenji Mase,et al.  Recognition of Facial Expression from Optical Flow , 1991 .

[12]  Peter G. B. Enser,et al.  Activity theory and information seeking , 2008 .

[13]  Wolfgang G. Stock,et al.  Collective indexing of emotions in images. A study in emotional information retrieval , 2009 .

[14]  M. Cunningham,et al.  Personality and the structure of the nonverbal communication of emotion. , 1977, Journal of personality.

[15]  Rosalind W. Picard Affective computing: challenges , 2003, Int. J. Hum. Comput. Stud..

[16]  Amy Coplan,et al.  Empathic Engagement with Narrative Fictions , 2004 .

[17]  Chun Chen,et al.  Audio-visual based emotion recognition - a new approach , 2004, CVPR 2004.

[18]  Ed Hooks,et al.  Acting for animators : a complete guide to performance animation , 2003 .

[19]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Alice J. O'Toole,et al.  A video database of moving faces and people , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Rosalind W. Picard Affective Computing , 1997 .

[22]  Corinne Jörgensen,et al.  Access to Pictorial Material: A Review of Current Research and Future Prospects , 1999, Comput. Humanit..