Modeling Intent for Home Video Repurposing

Authors:
Radhakrishna S. V. Achanta;Wei-Qi Yan;Mohan S. Kankanhalli
Affiliations:
muvee Technologies;Columbia University;National University of Singapore
Venue:
IEEE MultiMedia
Year:
2006

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Abstract

Amateur home videos rarely convey intent effectively, primarily because of the limitations of conventional consumer-quality video cameras and the difficulties of video postprocessing. The authors describe a general approach for video-intent delivery based on offline cinematography and automated continuity editing concepts and demonstrate its use with four basic emotions: cheer, serenity, gloom, and excitement.