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Proceedings ArticleDOI

Perceptual quality assessment of high frame rate video

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TLDR
It is observed that perceived video quality generally increases with frame rate, but the gain saturates at high rates, and such gain also depends on the interactions between quantization level, spatial resolution, and spatial and motion complexities.
Abstract
High frame rate video has been a hot topic in the past few years driven by a strong need in the entertainment and gaming industry. Nevertheless, progress on perceptual quality assessment of high frame rate video remains limited, making it difficult to evaluate the exact perceptual gain by switching from low to high frame rates. In this work, we first conduct a subjective quality assessment experiment on a database that contains videos compressed at different frame rates, quantization levels and spatial resolutions. We then carry out a series of analysis on the subjective data to investigate the impact of frame rate on perceived video quality and its interplay with quantization level, spatial resolution, spatial complexity, and motion complexity. We observe that perceived video quality generally increases with frame rate, but the gain saturates at high rates. Such gain also depends on the interactions between quantization level, spatial resolution, and spatial and motion complexities.

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References
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Journal ArticleDOI

Video Quality Assessment Based on Structural Distortion Measurement

TL;DR: A new philosophy in designing image and video quality metrics is followed, which uses structural dis- tortion as an estimate of perceived visual distortion as part of full-reference (FR) video quality assessment.
Journal ArticleDOI

Video quality assessment using a statistical model of human visual speed perception.

TL;DR: Improved video quality assessment algorithms are obtained by incorporating a recent model of human visual speed perception and incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty in video signals.
Proceedings ArticleDOI

Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video

TL;DR: Contrary to existing guidelines, it is found that users prefer high-resolution images to high frame rate, and the rule "high motion = highframe rate" does not apply to small screens.
Journal ArticleDOI

Perceptual Quality Assessment of Video Considering Both Frame Rate and Quantization Artifacts

TL;DR: It is found that the temporal correction factor follows closely an inverted falling exponential function, whereas the quantization effect on the coded frames can be captured accurately by a sigmoid function of the peak signal-to-noise ratio.
Journal ArticleDOI

QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks

TL;DR: A new content-based, non-intrusive quality of experience (QoE) prediction model for low bitrate and resolution (QCIF) H.264 encoded videos and its application in video quality adaptation over Universal Mobile Telecommunication Systems (UMTS) networks is illustrated.
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