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@ARTICLE{Motlicek_ADVANCESINMULTIMEDIA_2013,
         author = {Motlicek, Petr and Duffner, Stefan and Korchagin, Danil and Bourlard, Herv{\'{e}} and Scheffler, Carl and Odobez, Jean-Marc and Del Galdo, Giovanni and Kallinger, Markus and Thiergart, Oliver},
       projects = {Idiap, TA2},
          month = aug,
          title = {Real-Time Audio-Visual Analysis for Multiperson Videoconferencing},
        journal = {Advances in Multimedia},
         volume = {2013},
           year = {2013},
          pages = {21},
           note = {Hindawi Publishing Corporation, Article ID 175745},
            url = {http://www.hindawi.com/journals/am/2013/175745/},
            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.},
            pdf = {https://publications.idiap.ch/attachments/papers/2013/Motlicek_ADVANCESINMULTIMEDIA_2013.pdf}
}