@inproceedings{a937e9ce70e8430f8685a45a803d5411,
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.",
keywords = "YouTube videos, crowdsourcing, metadata, paired comparison, quality assessment",
author = "Han, {Chul Hee} and Lee, {Jong Seok}",
year = "2014",
doi = "10.1109/ICASSP.2014.6853824",
language = "English",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1385--1388",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
address = "United States",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}