@inproceedings{ad0eeb710fee4f39a4c4dc867123e7de,
title = "Length-independent refinement of video quality metrics based on multiway data analysis",
abstract = "In previous publications it has been shown that no-reference video quality metrics based on a data analysis approach rather than on modeling the human visual system lead to very promising results and outperform many well-known full-reference metrics. Furthermore, the results improve when taking the temporal structure of the video sequence into account by using multiway analysis methods. This contribution shows a way of refining these multiway quality metrics in order to make them more suitable for real-life applications and maintaining the performance at the same time. Additionally, our results confirm the validity of H.264/AVC bitstream no-reference quality metrics using multiway PLSR by evaluating this concept on an additional dataset.",
keywords = "Video quality metric, multiway PLSR, multiway data analysis, no-reference metric, trilinear PLS",
author = "Clemens Horch and Christian Keimel and Julian Habigt and Klaus Diepold",
year = "2013",
doi = "10.1109/ICIP.2013.6738010",
language = "English",
isbn = "9781479923410",
series = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "44--48",
booktitle = "2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings",
note = "2013 20th IEEE International Conference on Image Processing, ICIP 2013 ; Conference date: 15-09-2013 Through 18-09-2013",
}