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Robust QoE-aware prediction-based dynamic content adaptation framework applied to slides documents in mobile Web conferencing
2014
Multimedia tools and applications
In mobile Web conferencing, enterprise documents are generally adapted into JPEG-based Web pages to be visualized on mobile devices. Dynamically identifying the optimal adapted content is very challenging, as a compromise between high visual quality and small delivery time must be made. In this paper, we propose a robust prediction-based dynamic content adaptation framework for JPEG and XHTML formats that computes near-optimal transcoding parameters dynamically with very few computations. The
doi:10.1007/s11042-014-2030-2
fatcat:cs57r43ccnd5pb4hl6grmukpgy