Publication detail
"To pool or not to pool": A comparison of temporal pooling methods for HTTP adaptive streaming
SEUFERT, M. SLANINA, M. EGGER, S. KOTTKAMP, M.
Original Title
"To pool or not to pool": A comparison of temporal pooling methods for HTTP adaptive streaming
English Title
"To pool or not to pool": A comparison of temporal pooling methods for HTTP adaptive streaming
Type
conference paper
Language
en
Original Abstract
Current objective video quality metrics typically estimate video quality for short video sequences (10 to 15 sec) of constant quality. However, customers of video services usually watch longer sequences of videos which are more and more delivered via adaptive streaming methods such as HTTP adaptive streaming (HAS). A viewing session in such a setting contains several different video qualities over time. In order to express this in an overall score for the whole viewing session, several temporal pooling methods have been proposed in the related work. Within this paper, we set out to compare the performance of different temporal pooling methods for the prediction of Quality of Experience (QoE) for HTTP video streams with varying qualities. We perform this comparison based on ground truth rating data gathered in a crowdsourcing study in the context of the NGMN P-SERQU project. As input data for the models, we use objective video quality metrics such as PSNR, SSIM but also very basic inputs such as the bitrate of the clips only. Our results show that certain pooling methods perform clearly better than others. These results can help in identifying well performing temporal pooling methods in the context of HAS.
English abstract
Current objective video quality metrics typically estimate video quality for short video sequences (10 to 15 sec) of constant quality. However, customers of video services usually watch longer sequences of videos which are more and more delivered via adaptive streaming methods such as HTTP adaptive streaming (HAS). A viewing session in such a setting contains several different video qualities over time. In order to express this in an overall score for the whole viewing session, several temporal pooling methods have been proposed in the related work. Within this paper, we set out to compare the performance of different temporal pooling methods for the prediction of Quality of Experience (QoE) for HTTP video streams with varying qualities. We perform this comparison based on ground truth rating data gathered in a crowdsourcing study in the context of the NGMN P-SERQU project. As input data for the models, we use objective video quality metrics such as PSNR, SSIM but also very basic inputs such as the bitrate of the clips only. Our results show that certain pooling methods perform clearly better than others. These results can help in identifying well performing temporal pooling methods in the context of HAS.
Keywords
Adaptive streaming, HTTP streaming, video QoE, temporal pooling, mobile video, variable video quality
RIV year
2013
Released
03.07.2013
ISBN
978-1-4799-0738-0
Book
ifth International Workshop on Quality of Multimedia Experience QoMEX 2013
Pages from
52
Pages to
57
Pages count
6
BibTex
@inproceedings{BUT100432,
author="Michael {Seufert} and Martin {Slanina} and Sebastian {Egger} and Meik {Kottkamp}",
title=""To pool or not to pool": A comparison of temporal pooling methods for HTTP adaptive streaming",
annote="Current objective video quality metrics typically estimate video quality for short video sequences (10 to 15 sec) of constant quality. However, customers of video services usually watch longer sequences of videos which are more and more delivered via adaptive streaming methods such as HTTP adaptive streaming (HAS). A viewing session in such a setting contains several different video qualities over time. In order to express this in an overall score for the whole viewing session, several temporal pooling methods have been proposed in the related work. Within this paper, we set out to compare the performance of different temporal pooling methods for the prediction of Quality of Experience (QoE) for HTTP video streams with varying qualities. We perform this comparison based on ground truth rating data gathered in a crowdsourcing study in the context of the NGMN P-SERQU project. As input data for the models, we use objective video quality metrics such as PSNR, SSIM but also very basic inputs such as the bitrate of the clips only. Our results show that certain pooling methods perform clearly better than others. These results can help in identifying well performing temporal pooling methods in the context of HAS.",
booktitle="ifth International Workshop on Quality of Multimedia Experience QoMEX 2013",
chapter="100432",
howpublished="electronic, physical medium",
year="2013",
month="july",
pages="52--57",
type="conference paper"
}