Abstract
In a system that enables real-time communication between groups of people via audio/video streams, a component called orchestration intelligently selects appropriate camera views for each participant individually, enabling larger setups and enhancing the social interaction itself. The Interaction Ontology (iO) receives low-level cue input from the audiovisual analysis component and informs the camera view switching component about the social interaction on a higher semantic level. The iO is a software component consisting of both a static ontology model and dynamic event processing logic. In this paper, we elaborate on the design rationale of the model and the intended dynamic behaviour of low-level cue processing. Finally we discuss performance and scalability issues, as well as alternative approaches to low-level event processing in such environments.
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Kaiser, R., Wagner, C., Hoeffernig, M., Mayer, H. (2011). The Interaction Ontology Model. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_25
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DOI: https://doi.org/10.1007/978-3-642-17829-0_25
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