A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Layered representations for learning and inferring office activity from multiple sensory channels
Computer Vision and Image Understanding - Special issue on event detection in video
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
Evaluation of video summarization for a large number of cameras in ubiquitous home
Proceedings of the 13th annual ACM international conference on Multimedia
Multi-camera calibration, object tracking and query generation
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
Myview: personalized event retrieval and video compositing from multi-camera video images
Proceedings of the 2007 conference on Human interface: Part I
A rule-based video annotation system
IEEE Transactions on Circuits and Systems for Video Technology
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Recently, research for the summarization of video data has been studied a lot due to the proliferation of user created contents. Besides, the use of multiple cameras for the collection of the video data has been increasing, but most of them have used the multi-camera system either to cover the wide area or to track moving objects. This paper focuses on getting diverse views for a single event using multi-camera system and deals with the problem of summarizing event sequences collected in the office environment based on this perspective. Summarization includes camera view selection and event sequence summarization. View selection makes a single event sequence from multiple event sequences as selecting optimal views in each time, for which domain ontology based on the elements in an office environment and rules from questionnaire surveys have been used. Summarization generates a summarized sequence from a whole sequence, and the fuzzy rule-based system is used to approximate human decision making. The degrees of interests input by users are used in both parts. Finally, we have confirmed that the proposed method yields acceptable results using experiments of summarization.