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 [BibTeX] [Marc21]
Real-Time Audio-Visual Analysis for Multiperson Videoconferencing
Type of publication: Journal paper
Citation: Motlicek_ADVANCESINMULTIMEDIA_2013
Publication status: Published
Journal: Advances in Multimedia
Volume: 2013
Year: 2013
Month: August
Pages: 21
Note: Hindawi Publishing Corporation, Article ID 175745
URL: http://www.hindawi.com/journal...
DOI: 10.1155/2013/175745
Abstract: We describe the design of a system consisting of several state-of-the-art real-time audio and video processing components enabling multimodal stream manipulation (e.g., automatic online editing for multiparty videoconferencing applications) in open, unconstrained environments. The underlying algorithms are designed to allow multiple people to enter, interact, and leave the observable scene with no constraints.They comprise continuous localisation of audio objects and its application for spatial audio object coding, detection, and tracking of faces, estimation of head poses and visual focus of attention, detection and localisation of verbal and paralinguistic events, and the association and fusion of these different events. Combined all together, they represent multimodal streams with audio objects and semantic video objects and provide semantic information for stream manipulation systems (like a virtual director). Various experiments have been performed to evaluate the performance of the system.The obtained results demonstrate the effectiveness of the proposed design, the various algorithms, and the benefit of fusing different modalities in this scenario.
Projects Idiap
Authors Motlicek, Petr
Duffner, Stefan
Korchagin, Danil
Bourlard, Hervé
Scheffler, Carl
Odobez, Jean-Marc
Del Galdo, Giovanni
Kallinger, Markus
Thiergart, Oliver
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Total mark: 0
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