Quality assessment of on-line videos using metadata

Chul Hee Han; Jong Seok Lee

doi:10.1109/ICASSP.2014.6853824

Quality assessment of on-line videos using metadata

Chul Hee Han, Jong Seok Lee

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online videos, i.e., metadata, and explore the extent to which video quality can be estimated from metadata. Subjective quality assessment using crowdsourcing is conducted, based on which metadata-based quality models are constructed. It is shown that the estimated quality scores show fairly high correlation with the subjective quality.

Original language	English
Title of host publication	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1385-1388
Number of pages	4
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6853824
Publication status	Published - 2014
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy Duration: 2014 May 4 → 2014 May 9

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country	Italy
City	Florence
Period	14/5/4 → 14/5/9

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2014.6853824

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Han, C. H., & Lee, J. S. (2014). Quality assessment of on-line videos using metadata. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 1385-1388). [6853824] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6853824

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title = "Quality assessment of on-line videos using metadata",

abstract = "As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online videos, i.e., metadata, and explore the extent to which video quality can be estimated from metadata. Subjective quality assessment using crowdsourcing is conducted, based on which metadata-based quality models are constructed. It is shown that the estimated quality scores show fairly high correlation with the subjective quality.",

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booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",

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note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",

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Han, CH & Lee, JS 2014, Quality assessment of on-line videos using metadata. in 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014., 6853824, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1385-1388, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 14/5/4. https://doi.org/10.1109/ICASSP.2014.6853824

Quality assessment of on-line videos using metadata. / Han, Chul Hee; Lee, Jong Seok.

2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1385-1388 6853824 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - As video consumption becomes popular, demand for high quality of experience of consumed videos is also increasing. While online video sharing is a popular video application, quality assessment of videos in such an application is challenging due to lack of reference videos and simultaneous involvement of diverse quality factors. In this paper, we take advantage of additional information of online videos, i.e., metadata, and explore the extent to which video quality can be estimated from metadata. Subjective quality assessment using crowdsourcing is conducted, based on which metadata-based quality models are constructed. It is shown that the estimated quality scores show fairly high correlation with the subjective quality.

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Han CH, Lee JS. Quality assessment of on-line videos using metadata. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1385-1388. 6853824. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2014.6853824

Quality assessment of on-line videos using metadata

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