Abstract
A large amount of research is currently focusing on the issue of using real-time adaptive applications being able to self-adapt their settings, in future heterogeneous mobile networks. Traditional adaptive multimedia applications have neglected to consider the users’ subjective perception of multimedia content when changing their configuration. We present a novel approach, which we call user-aware adaptive applications, in which self-adaptation decisions are based on the instantaneous assessment of the users’ perceptual quality of the multimedia content. We use the SLIPPER algorithm to produce a rule-based model of the user’s perceptual QoS, which is then used by the applications. Our experiments show that the proposed approach provides a good user-perceived QoS even in extremely variable network conditions.
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Ruiz, P.M., Botia, J., Gomez-Skarmeta, A.F. (2004). User-Aware Adaptive Applications for Enhanced Multimedia Quality in Heterogeneous Networking Environments. In: Mammeri, Z., Lorenz, P. (eds) High Speed Networks and Multimedia Communications. HSNMC 2004. Lecture Notes in Computer Science, vol 3079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25969-5_96
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DOI: https://doi.org/10.1007/978-3-540-25969-5_96
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