Semantics in Visual Information Retrieval
IEEE MultiMedia
Computational Media Aesthetics: Finding Meaning Beautiful
IEEE MultiMedia
A probabilistic framework for semantic video indexing, filtering,and retrieval
IEEE Transactions on Multimedia
Extraction of Film Takes for Cinematic Analysis
Multimedia Tools and Applications
Modeling Intent for Home Video Repurposing
IEEE MultiMedia
Multimedia content personalization based on peer-level annotation
Proceedings of the seventh european conference on European interactive television conference
Proceedings of the international conference on Multimedia
Linking identities and viewpoints in home movies based on robust feature matching
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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Using film grammar as the underpinning, we study the extraction of structures in video based on color using a wide configuration of clustering methods combined with existing and new similarity measures. We study the visualisation of these structures, which we call Scene-Cluster Temporal Charts and show how it can bring out the interweaving of different themes and settings in a film. We also extract color events that filmmakers use to draw/force a viewer's attention to a shot/scene. This is done by first extracting a set of colors used rarely in film, and then building a probabilistic model for color event detection. We demonstrate with experimental results from ten movies that our algorithms are effective in the extraction of both scene-cluster temporal charts and color events.