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.

Highlights

  • In recent years, the number of various types of surveillance and data collection cameras located both indoors and outdoors have been constantly increasing

  • This paper dealt with the content impact on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method

  • We selected 5 various bitrates based on our previous research, which showed that the efficiency of codecs grows nonlinearly with increasing bitrate

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Summary

Introduction

The number of various types of surveillance and data collection cameras located both indoors and outdoors have been constantly increasing. Ramzan et al [47] presented a performance evaluation of three coding standards—Advanced Video Coding (H.264/MPEG-AVC), High-Efficiency Video Coding (H.265/MPEG-HEVC), and VP9, based on subjective and objective quality evaluations. Xu et al [49] presented a subjective video quality assessment on 4K Ultra-High Definition (UHD) videos using the DSCQS method. A database consisting of 120 degraded HD video sequences with 4 contents encoded at various compression rates to H.265/HEVC and H.264/AVC formats was compiled. Sotelo et al [53] presented a subjective quality assessment of HEVC/H.265 compressed 4K Ultra-High-Definition (UHD) videos in a laboratory viewing environment. Our publication follows Reference [57], where a new 4K video dataset was compiled with full subjective scores (Mean Opinion Score (MOS)) of videos at different bitrates compressed by HEVC/H.265 codec evaluated by the Double

Dataset description
Dataset Preparation
Coding Process
Subjective Quality Assessment
Statistical Analysis and Presentation of the Results
Correlation between the Results from Individual Laboratories
Impact of Bitrate on Video Quality Depending on Scene Content
Bitrate impactimpact on the on perceived video quality by the MOS
Analysis of Variance
Impact of Bitrate on Video Quality Depending on Codec and Resolution
Bitrate impact on theon perceived video video qualityquality
Minimum Bitrate Thresholds Suggestions
Conclusions
Objective
Full Text
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