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    Area of Science:

    • Computer Science
    • Multimedia Systems
    • Computer Graphics

    Background:

    • Mobile cloud gaming demands high-quality, low-latency streaming of large game images over wireless networks.
    • Existing platforms often use standard video codecs, which struggle with the stringent requirements of gaming.

    Purpose of the Study:

    • To propose a layered coding scheme to reduce transmission bandwidth and latency in mobile cloud gaming.
    • To enable efficient rendering of a low-quality base layer on mobile devices.

    Main Methods:

    • Developed a complexity-scalable base layer rendering pipeline for mobile devices.
    • Proposed a method to scale the Blinn-Phong lighting model for base layer rendering.
    • Derived an information-theoretic model to estimate rendered image entropy and optimize base layer design.

    Main Results:

    • The proposed scheme allows cloud servers to send enhancement layer information instead of full high-quality images.
    • Base layer rendering requires minimal computation on mobile devices.
    • Achieved up to 84% reduction in bandwidth usage compared to H.264/AVC compression.

    Conclusions:

    • The layered coding scheme effectively reduces bandwidth and latency for mobile cloud gaming.
    • The information-theoretic model accurately predicts rendered image entropy, guiding optimal base layer design.
    • This approach offers a viable solution for improving mobile cloud gaming performance.