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 | |
| Publication status | Published - 2014 Jan 1 |
| Event | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy Duration: 2014 May 4 → 2014 May 9 |
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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Signal Processing
- Software
- Electrical and Electronic Engineering
Cite this
}
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.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Quality assessment of on-line videos using metadata
AU - Han, Chul Hee
AU - Lee, Jong Seok
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84905242594&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905242594&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6853824
DO - 10.1109/ICASSP.2014.6853824
M3 - Conference contribution
AN - SCOPUS:84905242594
SN - 9781479928927
SP - 1385
EP - 1388
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -