Detail publikace

On the Performance of Objective Video Quality Metrics for UHD Videos

Originální název

On the Performance of Objective Video Quality Metrics for UHD Videos

Anglický název

On the Performance of Objective Video Quality Metrics for UHD Videos

Jazyk

en

Originální abstrakt

This paper deals with the performance evaluation of different objective metrics, used for the assessment of Ultra HD (UHD) video quality. Video sequences are compressed by HEVC video encoder. Objective scores are compared to each other and verified by scores from subjective tests. Such a comparison is completed by a simple correlation analysis. Differences between the objective scores obtained from the metrics implemented in the HEVC encoder and independent tool are explored in the second part of this paper. The PSNR metric is considered in this case.

Anglický abstrakt

This paper deals with the performance evaluation of different objective metrics, used for the assessment of Ultra HD (UHD) video quality. Video sequences are compressed by HEVC video encoder. Objective scores are compared to each other and verified by scores from subjective tests. Such a comparison is completed by a simple correlation analysis. Differences between the objective scores obtained from the metrics implemented in the HEVC encoder and independent tool are explored in the second part of this paper. The PSNR metric is considered in this case.

BibTex


@inproceedings{BUT147122,
  author="Jan {Kufa}",
  title="On the Performance of Objective Video Quality Metrics for UHD Videos",
  annote="This paper deals with the performance evaluation of different objective metrics, used for the assessment of Ultra HD (UHD) video quality. Video sequences are compressed by HEVC video encoder. Objective scores are compared to each other and verified by scores from subjective tests. Such a comparison is completed by a simple correlation analysis. Differences between the objective scores obtained from the metrics implemented in the HEVC encoder and independent tool are explored in the second part of this paper. The PSNR metric is considered in this case.",
  address="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  chapter="147122",
  howpublished="electronic, physical medium",
  institution="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  year="2018",
  month="april",
  pages="302--306",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  type="conference paper"
}