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  • High-quality video, both uncompressed and compressed with relatively low compression ratio, is used in interactive environments, where minimum end-to-end latency is required. The media streams planning solves multi-point data routing for such applications even when bitrate of streams is comparable to capacity of network links. Recent advances in acceleration of high-throughput low-latency video processing enable on-the-fly video transcoding even for 4K and 8K video streams, thus allowing individual adaptation of data stream for each recipient without affecting the others. Stimulated by these advances, we present a novel media streams planning with transcoding on network nodes, and a mixed integer programming approach to solve the problem optimally. Our approach also enhances traditional end-to-end network model of the whole system with known topology of certain network regions. Our solution was implemented in the CoUniverse, which is middleware for orchestration of collaborative environments.
  • High-quality video, both uncompressed and compressed with relatively low compression ratio, is used in interactive environments, where minimum end-to-end latency is required. The media streams planning solves multi-point data routing for such applications even when bitrate of streams is comparable to capacity of network links. Recent advances in acceleration of high-throughput low-latency video processing enable on-the-fly video transcoding even for 4K and 8K video streams, thus allowing individual adaptation of data stream for each recipient without affecting the others. Stimulated by these advances, we present a novel media streams planning with transcoding on network nodes, and a mixed integer programming approach to solve the problem optimally. Our approach also enhances traditional end-to-end network model of the whole system with known topology of certain network regions. Our solution was implemented in the CoUniverse, which is middleware for orchestration of collaborative environments. (en)
Title
  • Media Streams Planning with Transcoding
  • Media Streams Planning with Transcoding (en)
skos:prefLabel
  • Media Streams Planning with Transcoding
  • Media Streams Planning with Transcoding (en)
skos:notation
  • RIV/00216224:14330/13:00066216!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/12/0306), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 87084
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/13:00066216
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • networks; planning; multimedia; data transfer; integer programming; transcoding; CoUniverse (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CB4A556D1DAC]
http://linked.open...v/mistoKonaniAkce
  • Cambridge, Massachusetts, USA
http://linked.open...i/riv/mistoVydani
  • USA
http://linked.open...i/riv/nazevZdroje
  • 12th IEEE International Symposium on Network Computing and Applications (NCA 2013)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Holub, Petr
  • Rudová, Hana
  • Troubil, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/NCA.2013.46
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 9780768550436
http://localhost/t...ganizacniJednotka
  • 14330
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