Abstract
In this paper, the segmentation of a meeting into meeting events is investigated as well as the recognition of the detected segments. First, the classification of a meeting event is examined. Five different classifiers are combined through multiple classifier fusion. Then, a way for finding the optimal segment boundaries is presented. With a dynamic programming approach quite encouraging results can be obtained. The results show further that by classifier fusion a more stable result can be achieved than using only one single classifier.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
