Cinematic Primitives for Multimedia
IEEE Computer Graphics and Applications
The mindful camera: common sense for documentary videography
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Educational information system using two phase feature extract in u-learning environment
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
A multimedia database system using dependence weight values for a mobile environment
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
An evaluation method for video semantic models
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
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Our project on digital video modeling aims to achieve efficient browsing and retrieval. Video is not merely a huge collection of still images, it is a complex temporal medium capturing high-level semantic ideas. For almost a decade researchers have worked on developing efficient techniques to model, index, and retrieve digital video information. To support intuitive video access, the video data must be properly modeled and indexed based on its characteristics and contents. One such annotation-based model is the stratification model, which focuses on segmenting the video's contextual information into multiple layers or strata. Each stratum describes the temporal occurrences of a simple concept such as the appearance of an anchor person in a news video. It thus focuses on segmenting the contextual information into chunks rather than dividing physically contiguous frames into shots, as is traditionally done