Abstract
Due to the latest booming of the handheld devices, JPEG2000 is gaining momentum in medical image, military and surveillance, as the file size is small and easily fit on smart phones. This paper offers a systematical modeling method for characterizing JPEG2000. In this study, we holds two purposes: first, we wish to provide a measurement of the traditional JPEG streaming to get a feeling of how much self-similarity is in the JPEG wireless Internet flow; the second is to provide a practical model that the Internet Service Provider can use to design their optimum network load when JPEG2000 is used. For these reasons, we have also measured different Hurst parameters, under different compression qualities. The data considered in this paper comes directly from the GenieView camera project. Our result shows that the transcoding only slightly increases Hurst value by 1% or lower.
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Zhu, J., Huang, J.S., Zhu, B. (2011). The Impact of Visual Transcoder on Self-similarity of Internet Flow. In: Jin, D., Lin, S. (eds) Advances in Multimedia, Software Engineering and Computing Vol.1. Advances in Intelligent and Soft Computing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25989-0_59
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DOI: https://doi.org/10.1007/978-3-642-25989-0_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25988-3
Online ISBN: 978-3-642-25989-0
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