Mining asynchronous periodic patterns in time series data
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering similar patterns in time series
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
AVE: automated home video editing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
An automated end-to-end lecture capture and broadcasting system
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Exploring Music Video Editing Rules with Dual-Wing Harmonium Model
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Automated aesthetic enhancement of videos
Proceedings of the international conference on Multimedia
An efficient automatic video shot size annotation scheme
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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Data mining is a technique to discover useful patterns or patterns of special interest as explicit knowledge from a vast quantity of data. In video editing, there are a lot of editing patterns. According to the editor's preferences, different editing patterns give the opportunity to achieve a variety of effects. Discovering the editing patterns is required, because it is useful to find each editor's skills and to use them for editing new video material. In this paper, we propose the methods of extracting editing rules from video stream by introducing data mining technique. We can edit a video material by applying the extracted rules. The edited video may produce the same quality as the video from which we extracted the patterns.