User Centric Media. First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers

Research Article

An Adaptive Control System for Interactive Virtual Environment Content Delivery to Handheld Devices

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  • @INPROCEEDINGS{10.1007/978-3-642-12630-7_20,
        author={Gianluca Paravati and Andrea Sanna and Fabrizio Lamberti and Luigi Ciminiera},
        title={An Adaptive Control System for Interactive Virtual Environment Content Delivery to Handheld Devices},
        proceedings={User Centric Media. First International Conference, UCMedia 2009, Venice, Italy, December 9-11, 2009, Revised Selected Papers},
        proceedings_a={UCMEDIA},
        year={2012},
        month={10},
        keywords={Video Streaming to Mobile Devices Closed-Loop Controller QoS Remote Visualization},
        doi={10.1007/978-3-642-12630-7_20}
    }
    
  • Gianluca Paravati
    Andrea Sanna
    Fabrizio Lamberti
    Luigi Ciminiera
    Year: 2012
    An Adaptive Control System for Interactive Virtual Environment Content Delivery to Handheld Devices
    UCMEDIA
    Springer
    DOI: 10.1007/978-3-642-12630-7_20
Gianluca Paravati1,*, Andrea Sanna1,*, Fabrizio Lamberti1,*, Luigi Ciminiera1,*
  • 1: Politecnico di Torino
*Contact email: gianluca.paravati@polito.it, andrea.sanna@polito.it, fabrizio.lamberti@polito.it, luigi.ciminiera@polito.it

Abstract

Wireless communication advances enable emerging video streaming applications to mobile handheld devices. For example, it is possible to show and interact with a complex 3D virtual environment on a “thin” mobile device through remote rendering techniques, where a rendering server is in charge to render 3D data and stream the corresponding image flow to the demanding client. However, due to bandwidth fluctuating characteristics and limited mobile device CPU capabilities, it is extremely challenging to design effective systems for interactive streaming multimedia over wireless networks. This paper presents a novel approach based on a controller able to automatically adjust streaming parameters basing on feedback measures coming back from the client device. Experimental results prove the effectiveness of the proposed solution to cope with bandwidth changes, thus providing a high Quality of Service (QoS) in remote visualizations.