TY - GEN
T1 - A fuzzy rule-based system with ontology for summarization of multi-camera event sequences
AU - Park, Han Saem
AU - Cho, Sung Bae
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=48249101357&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-69731-2_81
DO - 10.1007/978-3-540-69731-2_81
M3 - Conference contribution
AN - SCOPUS:48249101357
SN - 3540695729
SN - 9783540695721
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 850
EP - 860
BT - Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Proceedings
T2 - 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008
Y2 - 22 June 2008 through 26 June 2008
ER -