Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming

Name: Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming
Author: Bentaleb, A., Timmerer, C., Beğen, Ali Cengiz, Zimmermann, R.

İsim	Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming
Yazar	Bentaleb, A., Timmerer, C., Beğen, Ali Cengiz, Zimmermann, R.
Basım Tarihi:	2020-07
Basım Yeri	- Association for Computing Machinery, Inc
Konu	HAS, ABR, DASH, CMAF, Low-latency, HTTP chunked transfer encoding, Bandwidth measurement and prediction, RLS, Encoding parameters, FFmpeg
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1551-6857
Kayıt Numarası	7c9da422-c7c4-408f-bc9d-399fecafac11
Lokasyon	Computer Science
Tarih	2020-07
Notlar	Singapore Ministry of Education Academic Research Fund Tier 2 under MOE's official Grant ; Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS" ; Christian Doppler Laboratory ATHENA
Örnek Metin	HTTP adaptive streaming with chunked transfer encoding can offer low-latency streaming without sacrificing the coding efficiency. This allows media segments to be delivered while still being packaged. However, conventional schemes often make widely inaccurate bandwidth measurements due to the presence of idle periods between the chunks and hence this is causing sub-optimal adaptation decisions. To address this issue, we earlier proposed ACTE (ABR for Chunked Transfer Encoding) [6], a bandwidth prediction scheme for low-latency chunked streaming. While ACTE was a significant step forward, in this study we focus on two still remaining open areas, namely, (i) quantifying the impact of encoding parameters, including chunk and segment durations, bitrate levels, minimum interval between IDR-frames and frame rate on ACTE, and (ii) exploring the impact of video content complexity on ACTE. We thoroughly investigate these questions and report on our findings. We also discuss some additional issues that arise in the context of pursuing very low latency HTTP video streaming.
DOI	10.1145/3387921
Cilt	16

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Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming

Yazar Bentaleb, A., Timmerer, C., Beğen, Ali Cengiz, Zimmermann, R.

Basım Tarihi 2020-07

Basım Yeri - Association for Computing Machinery, Inc

Konu HAS, ABR, DASH, CMAF, Low-latency, HTTP chunked transfer encoding, Bandwidth measurement and prediction, RLS, Encoding parameters, FFmpeg

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1551-6857

Kayıt Numarası 7c9da422-c7c4-408f-bc9d-399fecafac11

Lokasyon Computer Science

Tarih 2020-07

Notlar Singapore Ministry of Education Academic Research Fund Tier 2 under MOE's official Grant ; Austrian Research Promotion Agency (FFG) under the Next Generation Video Streaming project "PROMETHEUS" ; Christian Doppler Laboratory ATHENA

Örnek Metin HTTP adaptive streaming with chunked transfer encoding can offer low-latency streaming without sacrificing the coding efficiency. This allows media segments to be delivered while still being packaged. However, conventional schemes often make widely inaccurate bandwidth measurements due to the presence of idle periods between the chunks and hence this is causing sub-optimal adaptation decisions. To address this issue, we earlier proposed ACTE (ABR for Chunked Transfer Encoding) [6], a bandwidth prediction scheme for low-latency chunked streaming. While ACTE was a significant step forward, in this study we focus on two still remaining open areas, namely, (i) quantifying the impact of encoding parameters, including chunk and segment durations, bitrate levels, minimum interval between IDR-frames and frame rate on ACTE, and (ii) exploring the impact of video content complexity on ACTE. We thoroughly investigate these questions and report on our findings. We also discuss some additional issues that arise in the context of pursuing very low latency HTTP video streaming.

DOI 10.1145/3387921

Cilt 16