Dynamics of Facial Expression Extracted Automatically from Video
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
MediaMill: exploring news video archives based on learned semantics
Proceedings of the 13th annual ACM international conference on Multimedia
Analyzing user's behavior on a video database
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Smile Detection for User Interfaces
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
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Within the last decade the development of new technologies in the multimedia sector has advanced with stunning pace. Due to the availability of high-capacity mass storage devices at low cost private multimedia libraries containing digital video and audio items have recently gained popularity. Although attached meta-data like title, actor's/actress' name and creation time eases the task of finding preferred contents, it is still difficult to find a specific part within a movie one enjoyed before by remembering the time code. In this paper we introduce the BROAFERENCE system that provides a solution for the above problem. We propose meta-data creation based on recorded user experience derived from facial expressions containing joy, sadness and anger events as well as interest focus data. In the following the system layout, functionality and conducted experiments for system verification will be introduced to the reader