Video Data Mining: Extracting Cinematic Rules from Movie
Video editing process is a work to produce final video sequences with certain duration
by finding and selecting appropriate shots from the video material and connecting them.
Then, according to the editor's skills, the video editing differs in qualities from
various characteristic patterns. In order to produce excellent videos, this process is
generally conducted according to the ecinematic rulef. Furthermore, in movies,
there are several kinds of rhythms associated with contents. In this paper, we propose
a methods of extracting cinematic rules and interesting patterns of rhythms by introducing
data mining techniques. Data mining is the technique to discover useful patterns of interest
from a vast quantity of data. Finally, we can edit a new video by applying the extracted
rules to our video editing support system. The resultant video must be produced in similar
quality to the video that is used to extract the rules.
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