When they go high, we go low: low-latency live streaming in dash.js with LoL | Kütüphane.osmanlica.com

When they go high, we go low: low-latency live streaming in dash.js with LoL

İsim When they go high, we go low: low-latency live streaming in dash.js with LoL
Yazar Lim, M., Akçay, Mehmet Necmettin, Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.
Basım Tarihi: 2020-05
Basım Yeri - The ACM Digital Library
Konu HAS, ABR, DASH, CMAF, Low-latency, HTTP chunked transfer encoding, Adaptive playout, SOM, Learning
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-145036845-2
Kayıt Numarası 6f8c75f2-3e64-411c-b59c-4212b513de1b
Lokasyon Computer Science
Tarih 2020-05
Notlar Ministry of Education - Singapore
Örnek Metin Live streaming remains a challenge in the adaptive streaming space due to the stringent requirements for not just quality and rebuffering, but also latency. Many solutions have been proposed to tackle streaming in general, but only few have looked into better catering to the more challenging low-latency live streaming scenarios. In this paper, we re-visit and extend several important components (collectively called Low-on-Latency, LoL) in adaptive streaming systems to enhance the low-latency performance. LoL includes bitrate adaptation (both heuristic and learning-based), playback control and throughput measurement modules.
DOI 10.1145/3339825.3397043
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When they go high, we go low: low-latency live streaming in dash.js with LoL

Yazar Lim, M., Akçay, Mehmet Necmettin, Bentaleb, A., Beğen, Ali Cengiz, Zimmermann, R.
Basım Tarihi 2020-05
Basım Yeri - The ACM Digital Library
Konu HAS, ABR, DASH, CMAF, Low-latency, HTTP chunked transfer encoding, Adaptive playout, SOM, Learning
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-145036845-2
Kayıt Numarası 6f8c75f2-3e64-411c-b59c-4212b513de1b
Lokasyon Computer Science
Tarih 2020-05
Notlar Ministry of Education - Singapore
Örnek Metin Live streaming remains a challenge in the adaptive streaming space due to the stringent requirements for not just quality and rebuffering, but also latency. Many solutions have been proposed to tackle streaming in general, but only few have looked into better catering to the more challenging low-latency live streaming scenarios. In this paper, we re-visit and extend several important components (collectively called Low-on-Latency, LoL) in adaptive streaming systems to enhance the low-latency performance. LoL includes bitrate adaptation (both heuristic and learning-based), playback control and throughput measurement modules.
DOI 10.1145/3339825.3397043
Özyeğin Üniversitesi
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