ConText towards the evolving documentary
Proceedings of the third ACM international conference on Multimedia
Automatic digital video production concepts
Handbook of Internet and multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The Application of Video Semantics and Theme Representation in Automated Video Editing
Multimedia Tools and Applications
Benchmarking Multimedia Databases
Multimedia Tools and Applications
An Annotation Engine for Supporting Video Database Population
Multimedia Tools and Applications
Composition and Search with a Video Algebra
IEEE MultiMedia
Interval-Based Conceptual Models for Time-Dependent Multimedia Data
IEEE Transactions on Knowledge and Data Engineering
Automating the Assembly of Presentations from Multimedia Databases
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Movie-maps: An application of the optical videodisc to computer graphics
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
A System for Customized News Delivery from Video Archives
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Data Semantics for Improving Retrieval Performance of Digital News Video Systems
IEEE Transactions on Knowledge and Data Engineering
Simplifying video editing using metadata
DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
Distributed and Reactive Query Planning in R-MAGIC: An Agent-Based Multimedia Retrieval System
IEEE Transactions on Knowledge and Data Engineering
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Video production involves the process of capturing, editing, and composing video segments for delivery to a consumer. A composition must yield a coherent presentation of an event or narrative. This process can be automated if appropriate domain-specific metadata are associated with video segments and composition techniques are established. Automation leads to the support of dynamic composition and customization for applications such as news on demand. In this paper, we present techniques to achieve dynamic, real-time, and cohesive video composition and customization. We also identify metrics for evaluating our techniques with respect to existing manually produced video-based news. The results of such an evaluation show that the quality of automatic composition is comparable to驴and in some cases, better than驴broadcast news video composition. The results also validate the assertions on which the automatic composition techniques are based.