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. 2021 Apr 19;21(8):2872.
doi: 10.3390/s21082872.

Impact of Scene Content on High Resolution Video Quality

Affiliations

Impact of Scene Content on High Resolution Video Quality

Miroslav Uhrina et al. Sensors (Basel). .

Abstract

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB-Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.

Keywords: ACR; H.264/AVC; H.265/HEVC; QoE; subjective assessment.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript, or in the decision to publish the result.

Figures

Figure 1
Figure 1
Printscreens of used test sequences. Reprinted with permission from [60], Copyright 2021, Uhrina.
Figure 2
Figure 2
Spatial Information (SI) and Temporal Information (TI) diagram of used test sequences. Reprinted with permission from [60], Copyright 2021, Uhrina.
Figure 3
Figure 3
Process of preparing the test sequences: chroma subsampling, bit depth, and resolution changing.
Figure 4
Figure 4
Complete process of coding and assessing the video quality.
Figure 5
Figure 5
Comparison of Mean Opinion Score (MOS) values obtained from different laboratories. Each spot represents MOS values for corresponding codec, resolution, and test sequence
Figure 6
Figure 6
Comparison of MOS values obtained from different laboratories. Each spot represents averaged MOS values from particular test sequences for corresponding codec and resolution.
Figure 7
Figure 7
Bitrate impact on the perceived video quality (defined by the MOS score with associated Confidence Interval (CI)) depending on codec and resolution for both laboratories independently. Each curve represents MOS values for each type of used test sequence.
Figure 8
Figure 8
Bitrate impact on the perceived video quality (defined by the MOS score with associated CI) depending on the codec and resolution for both laboratories jointly. Each curve represents averaged MOS values from both laboratories for each type of used test sequence.
Figure 9
Figure 9
Bitrate impact on the perceived video quality (defined by the MOS score with associated CI) depending on used test sequence. Each curve represents averaged MOS values from both laboratories for corresponding codec and resolution.
Figure 10
Figure 10
Bitrate impact on the perceived video quality (defined by the MOS score with associated CI). Each curve represents averaged MOS values from both laboratories for corresponding codec and resolution—average MOS score.

References

    1. Damer N., Grebe J.H., Chen C., Boutros F., Kirchbuchner F., Kuijper A. The Effect of Wearing a Mask on Face Recognition Performance: An Exploratory Study; Proceedings of the 2020 International Conference of the Biometrics Special Interest Group (BIOSIG); Darmstadt, Germany. 16–18 September 2020; pp. 1–6.
    1. Joshi A.S., Joshi S.S., Kanahasabai G., Kapil R., Gupta S. Deep Learning Framework to Detect Face Masks from Video Footage; Proceedings of the 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN); Bhimtal, India. 25–26 September 2020.
    1. Tan W., Liu J. Application of Face Recognition in Tracing COVID-19 Fever Patients and Close Contacts; Proceedings of the 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA); Miami, FL, USA. 14–17 December 2020.
    1. Seshadrinathan K., Soundararajan R., Bovik A.C., Cormack L.K. Study of Subjective and Objective Quality Assessment of Video. IEEE Trans. Image Process. 2010;19:1427–1441. doi: 10.1109/TIP.2010.2042111. - DOI - PubMed
    1. Seshadrinathan K., Soundararajan R., Bovik A.C., Cormack L.K. A subjective study to evaluate video quality assessment algorithms. In: Rogowitz B.E., Pappas T.N., editors. Human Vision and Electronic Imaging XV. SPIE; Bellingham, WA, USA: 2010.

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