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"
}