Abstract
Meeting recording is being performed through microphones and video cameras in order to keep a permanent record of the events that are happening during the meetings. The technology to perform such recording is already mature and recording is being performed already for some time. However, efficient retrieval of the information from meeting data remains a hot topic of contemporary research. Several approaches to information retrieval exist, such as indexing the data, event semantics analysis of the data, etc. This contribution focuses on automatic video editing of the data in order to prepare audiovisual material, based on several audio and video sources, that is suitable for human users to see. The video editing takes the original audio and video data as its input as well as the results of analysis of audio and video streams and user instructions. The output of the method is a simple audiovisual stream.KeywordsVideo StreamGesture RecognitionEditing ProcessShot BoundaryMeeting ParticipantThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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