A Feature-Augmented Grammar for Automated Media Production

The IST Polymnia project aims to create a fully automated system for personalised video generation. Film production involves content creation, selection and composition. Technological advances have automated parts of the process, however video editing continues to be a bottleneck in the production chain as constant human interaction is required in the process. This paper presents a linguistically motivated solution that uses context-free feature-augmented grammar rules to describe editing tasks, thus video editing can be automated by a novel rule application algorithm. The solution is media and application independent. Performance analysis results have suggested that the solution is applicable to near realtime applications.

• Type: Conference
• Year: 2006
• Where: AXMEDIS
• Authors: Freddy Choi, Richard Beales, Jonathan Hearn, Stuart E. Middleton, Matthew Addis, Christos Mangos
• Keywords: Automated, AXMEDIS 2006, IST Polymnia Project, Multimedia, Video Editing