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1 August 2021 Subjective and objective study of sharpness enhanced UGC video quality
Haiqiang Wang, Shan Liu
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Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 118420A (2021) https://doi.org/10.1117/12.2595222
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States
Abstract
With the popularity of video sharing applications and video conferencing systems, there has been a growth of interest to measure and enhance the quality of videos captured and transmitted by those applications. While assessing the quality of UGC videos itself is still an open question, it is even challenging to enhance the perceptual quality of UGC videos with unknown characteristics. In this work, we study the potential to enhance the quality of UGC videos by increasing the sharpen effects. To this end, we construct a subjective dataset by conducting a massive online crowdsourcing. The dataset consists of 1200 sharpness enhanced UGC videos processed from 200 UGC source videos. During subjective test, each processed video is compared with its source to capture finegrained quality difference. We propose a statistical model to precisely measure whether the quality is enhanced or degraded. Moreover, we benchmark state-of-the-art No-Reference image or video quality metrics with the collected subjective data. It is observed that most metrics do not correlate well with subjective score. This indicates the need to develop more reliable objective metrics for UGC videos.
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Haiqiang Wang and Shan Liu "Subjective and objective study of sharpness enhanced UGC video quality", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118420A (1 August 2021); https://doi.org/10.1117/12.2595222
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KEYWORDS
Video
Video processing
Distortion
Data modeling
Performance modeling
Image quality
Statistical analysis
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