Quality Improvement for Video On-Demand Streaming over HTTP
Summary :
It is crucial to provide Internet videos with the best possible content value (or quality) to users. To adapt to network fluctuations, existing solutions provide various client-based heuristics to change video versions without considering the actual quality. In this work, we present for the first time the use of a quality model in making adaptation decisions to improve the overall quality. The proposed method also estimates the buffer level in the near future to prevent the client from buffer underflows. Experiment results show that the proposed method is able to provide high and consistent video quality under strongly fluctuating bandwidths.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.1 pp.61-64
- Publication Date
- 2017/01/01
- Publicized
- 2016/10/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016MUL0005
- Type of Manuscript
- Special Section LETTER (Special Section on Enriched Multimedia —New Technology Trends in Creation, Utilization and Protection of Multimedia Information—)
- Category
Authors
Huyen T. T. TRAN
University of Aizu
Hung T. LE
University of Aizu
Nam PHAM NGOC
Hanoi University of Science and Technology
Anh T. PHAM
University of Aizu
Truong Cong THANG
University of Aizu
Keyword
Latest Issue
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Huyen T. T. TRAN, Hung T. LE, Nam PHAM NGOC, Anh T. PHAM, Truong Cong THANG, "Quality Improvement for Video On-Demand Streaming over HTTP" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 1, pp. 61-64, January 2017, doi: 10.1587/transinf.2016MUL0005.
Abstract: It is crucial to provide Internet videos with the best possible content value (or quality) to users. To adapt to network fluctuations, existing solutions provide various client-based heuristics to change video versions without considering the actual quality. In this work, we present for the first time the use of a quality model in making adaptation decisions to improve the overall quality. The proposed method also estimates the buffer level in the near future to prevent the client from buffer underflows. Experiment results show that the proposed method is able to provide high and consistent video quality under strongly fluctuating bandwidths.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016MUL0005/_p
Copy
@ARTICLE{e100-d_1_61,
author={Huyen T. T. TRAN, Hung T. LE, Nam PHAM NGOC, Anh T. PHAM, Truong Cong THANG, },
journal={IEICE TRANSACTIONS on Information},
title={Quality Improvement for Video On-Demand Streaming over HTTP},
year={2017},
volume={E100-D},
number={1},
pages={61-64},
abstract={It is crucial to provide Internet videos with the best possible content value (or quality) to users. To adapt to network fluctuations, existing solutions provide various client-based heuristics to change video versions without considering the actual quality. In this work, we present for the first time the use of a quality model in making adaptation decisions to improve the overall quality. The proposed method also estimates the buffer level in the near future to prevent the client from buffer underflows. Experiment results show that the proposed method is able to provide high and consistent video quality under strongly fluctuating bandwidths.},
keywords={},
doi={10.1587/transinf.2016MUL0005},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Quality Improvement for Video On-Demand Streaming over HTTP
T2 - IEICE TRANSACTIONS on Information
SP - 61
EP - 64
AU - Huyen T. T. TRAN
AU - Hung T. LE
AU - Nam PHAM NGOC
AU - Anh T. PHAM
AU - Truong Cong THANG
PY - 2017
DO - 10.1587/transinf.2016MUL0005
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2017
AB - It is crucial to provide Internet videos with the best possible content value (or quality) to users. To adapt to network fluctuations, existing solutions provide various client-based heuristics to change video versions without considering the actual quality. In this work, we present for the first time the use of a quality model in making adaptation decisions to improve the overall quality. The proposed method also estimates the buffer level in the near future to prevent the client from buffer underflows. Experiment results show that the proposed method is able to provide high and consistent video quality under strongly fluctuating bandwidths.
ER -
English
