Quality-driven bitrate adaptation method for HTTP live-streaming

Hung Le; Hai Nguyen; Nam Pham Ngoc; Anh Pham; Hoa Le Minh; Truong Cong Thang

doi:10.1109/ICCW.2015.7247437

Quality-driven bitrate adaptation method for HTTP live-streaming

Hung Le, Hai Nguyen, Nam Pham Ngoc, Anh Pham, Hoa Le Minh, Truong Cong Thang

Mathematics, Physics and Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

In this paper, we focus on the bitrate adaptation issue of HTTP live video streaming. We first present a systematic approach that enables the client to choose the best video quality when deciding video bitrate for next several segments. After that, based on the concept of JND (Just Noticeable Difference), an adaptation method is proposed to meet the tradeoff between the requirements of buffer stability and smooth video quality. The experiment results show that our proposed method can provide smooth videos in terms of perceptual quality even under a small buffer size (i.e. 10s). To the best of our knowledge, this paper presents for the first time the way to use a perceptual quality metric for adaptivity in HTTP streaming.

Original language	English
DOIs	https://doi.org/10.1109/ICCW.2015.7247437
Publication status	Published - Jun 2015
Event	2015 IEEE International Conference on Communication Workshop (ICCW) - London Duration: 6 Aug 2015 → …

Conference

Conference	2015 IEEE International Conference on Communication Workshop (ICCW)
Period	6/08/15 → …

Keywords

DASH
HTTP streaming
JND
QoE

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10.1109/ICCW.2015.7247437

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title = "Quality-driven bitrate adaptation method for HTTP live-streaming",

abstract = "In this paper, we focus on the bitrate adaptation issue of HTTP live video streaming. We first present a systematic approach that enables the client to choose the best video quality when deciding video bitrate for next several segments. After that, based on the concept of JND (Just Noticeable Difference), an adaptation method is proposed to meet the tradeoff between the requirements of buffer stability and smooth video quality. The experiment results show that our proposed method can provide smooth videos in terms of perceptual quality even under a small buffer size (i.e. 10s). To the best of our knowledge, this paper presents for the first time the way to use a perceptual quality metric for adaptivity in HTTP streaming.",

keywords = "DASH, HTTP streaming, JND, QoE",

author = "Hung Le and Hai Nguyen and {Pham Ngoc}, Nam and Anh Pham and {Le Minh}, Hoa and Thang, {Truong Cong}",

year = "2015",

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doi = "10.1109/ICCW.2015.7247437",

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AU - Le, Hung

AU - Nguyen, Hai

AU - Pham Ngoc, Nam

AU - Pham, Anh

AU - Le Minh, Hoa

AU - Thang, Truong Cong

PY - 2015/6

Y1 - 2015/6

N2 - In this paper, we focus on the bitrate adaptation issue of HTTP live video streaming. We first present a systematic approach that enables the client to choose the best video quality when deciding video bitrate for next several segments. After that, based on the concept of JND (Just Noticeable Difference), an adaptation method is proposed to meet the tradeoff between the requirements of buffer stability and smooth video quality. The experiment results show that our proposed method can provide smooth videos in terms of perceptual quality even under a small buffer size (i.e. 10s). To the best of our knowledge, this paper presents for the first time the way to use a perceptual quality metric for adaptivity in HTTP streaming.

AB - In this paper, we focus on the bitrate adaptation issue of HTTP live video streaming. We first present a systematic approach that enables the client to choose the best video quality when deciding video bitrate for next several segments. After that, based on the concept of JND (Just Noticeable Difference), an adaptation method is proposed to meet the tradeoff between the requirements of buffer stability and smooth video quality. The experiment results show that our proposed method can provide smooth videos in terms of perceptual quality even under a small buffer size (i.e. 10s). To the best of our knowledge, this paper presents for the first time the way to use a perceptual quality metric for adaptivity in HTTP streaming.

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KW - JND

KW - QoE

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M3 - Paper

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Y2 - 6 August 2015

ER -

Quality-driven bitrate adaptation method for HTTP live-streaming

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Keywords

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