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Comparing temporal behavior of fast objective video quality measures on a large-scale database

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Abstract
In many application scenarios, video quality assessment is required to be fast and reasonably accurate. The characterisation of objective algorithms by subjective assessment is well established but limited due to the small number of test samples. Verification using large-scale objectively annotated databases provides a complementary solution. In this contribution, three simple but fast measures are compared regarding their agreement on a large-scale database. In contrast to subjective experiments, not only sequence-wise but also framewise agreement can be analyzed. Insight is gained into the behavior of the measures with respect to 5952 different coding configurations of High Efficiency Video Coding (HEVC). Consistency within a video sequence is analyzed as well as across video sequences. The results show that the occurrence of discrepancies depends mostly on the configured coding structure and the source content. The detailed observations stimulate questions on the combined usage of several video quality measures for encoder optimization.
Keywords
IBCN, Video quality, Measure agreement, Large-scale database

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Citation

Please use this url to cite or link to this publication:

MLA
Aldahdooh, Ahmed, et al. “Comparing Temporal Behavior of Fast Objective Video Quality Measures on a Large-Scale Database.” 2016 Picture Coding Symposium (PCS), IEEE, 2016.
APA
Aldahdooh, A., Masala, E., Van Wallendael, G., & Barkowsky, M. (2016). Comparing temporal behavior of fast objective video quality measures on a large-scale database. 2016 Picture Coding Symposium (PCS). Presented at the 32nd Picture Coding Symposium (PCS 2016), Nuremberg, Germany.
Chicago author-date
Aldahdooh, Ahmed, Enrico Masala, Glenn Van Wallendael, and Marcus Barkowsky. 2016. “Comparing Temporal Behavior of Fast Objective Video Quality Measures on a Large-Scale Database.” In 2016 Picture Coding Symposium (PCS). New York, NY, USA: IEEE.
Chicago author-date (all authors)
Aldahdooh, Ahmed, Enrico Masala, Glenn Van Wallendael, and Marcus Barkowsky. 2016. “Comparing Temporal Behavior of Fast Objective Video Quality Measures on a Large-Scale Database.” In 2016 Picture Coding Symposium (PCS). New York, NY, USA: IEEE.
Vancouver
1.
Aldahdooh A, Masala E, Van Wallendael G, Barkowsky M. Comparing temporal behavior of fast objective video quality measures on a large-scale database. In: 2016 Picture Coding symposium (PCS). New York, NY, USA: IEEE; 2016.
IEEE
[1]
A. Aldahdooh, E. Masala, G. Van Wallendael, and M. Barkowsky, “Comparing temporal behavior of fast objective video quality measures on a large-scale database,” in 2016 Picture Coding symposium (PCS), Nuremberg, Germany, 2016.
@inproceedings{8522803,
  abstract     = {{In many application scenarios, video quality assessment is required to be fast and reasonably accurate. The characterisation of objective algorithms by subjective assessment is well established but limited due to the small number of test samples. Verification using large-scale objectively annotated databases provides a complementary solution. In this contribution, three simple but fast measures are compared regarding their agreement on a large-scale database. In contrast to subjective experiments, not only sequence-wise but also framewise agreement can be analyzed. Insight is gained into the behavior of the measures with respect to 5952 different coding configurations of High Efficiency Video Coding (HEVC). Consistency within a video sequence is analyzed as well as across video sequences. The results show that the occurrence of discrepancies depends mostly on the configured coding structure and the source content. The detailed observations stimulate questions on the combined usage of several video quality measures for encoder optimization.}},
  author       = {{Aldahdooh, Ahmed and Masala, Enrico and Van Wallendael, Glenn and Barkowsky, Marcus}},
  booktitle    = {{2016 Picture Coding symposium (PCS)}},
  isbn         = {{9781509059669}},
  issn         = {{2472-7822}},
  keywords     = {{IBCN,Video quality,Measure agreement,Large-scale database}},
  language     = {{eng}},
  location     = {{Nuremberg, Germany}},
  pages        = {{5}},
  publisher    = {{IEEE}},
  title        = {{Comparing temporal behavior of fast objective video quality measures on a large-scale database}},
  year         = {{2016}},
}

Web of Science
Times cited: