Abstract
Real-time multimedia streaming applications are becoming increasingly popular on the Internet; however, the users of these streaming services often find their quality to be insufficient. When the services are based on multipoint videoconferencing, it is difficult to reach a constant, suitable level of quality on the video transmissions. In this paper, we propose to increase the overall quality of multipoint videoconferencing by dynamically acting on the JPEG quality parameter of each individual video conference. To do this, we assign a fuzzy agent controller to each single video conference. Since the agent’s fuzzy logic is based on frame ratios (and JPEG qualities), the videoconference qualities will be dynamically equilibrated when a bottleneck is reached in any of the hardware resources supporting the system. This work includes a complete set of tests where the results of the fuzzy agents are compared with the optimum values reached by each multipoint videoconference: the proposed fuzzy architecture provides very good dynamic control of the video conference qualities; moreover, its use will be particularly interesting in mobile environments, where the devices are heterogeneous and present limited processing capabilities.
This work is partially supported by the Spanish Ministry for Science and Technology within the following projects: “A Multi-Agent System Architecture for the automatic and dynamic Implementation of security protocols (TIC2001-3376)” and “Open System of Multimedia Digital Presentation in Real Time (TIC2000-1734-C03-02).”
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Bobadilla, J., Mengual, L. (2004). Dynamic Quality Control Based on Fuzzy Agents for Multipoint Videoconferencing. In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_3
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DOI: https://doi.org/10.1007/978-3-540-30498-2_3
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