Subjective and Objective Quality Assessment of High Frame Rate Videos

07/22/2020
by   Pavan C. Madhusudana, et al.
6

High frame rate (HFR) videos are becoming increasingly common with the tremendous popularity of live, high-action streaming content such as sports. Although HFR contents are generally of very high quality, high bandwidth requirements make them challenging to deliver efficiently, while simultaneously maintaining their quality. To optimize trade-offs between bandwidth requirements and video quality, in terms of frame rate adaptation, it is imperative to understand the intricate relationship between frame rate and perceptual video quality. Towards advancing progression in this direction we designed a new subjective resource, called the LIVE-YouTube-HFR (LIVE-YT-HFR) dataset, which is comprised of 480 videos having 6 different frame rates, obtained from 16 diverse contents. In order to understand the combined effects of compression and frame rate adjustment, we also processed videos at 5 compression levels at each frame rate. To obtain subjective labels on the videos, we conducted a human study yielding 19,000 human quality ratings obtained from a pool of 85 human subjects. We also conducted a holistic evaluation of existing state-of-the-art Full and No-Reference video quality algorithms, and statistically benchmarked their performance on the new database. The LIVE-YT-HFR database has been made available online for public use and evaluation purposes, with hopes that it will help advance research in this exciting video technology direction. It may be obtained at <https://live.ece.utexas.edu/research/LIVE_YT_HFR/LIVE_YT_HFR/index.html>

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 3

page 4

page 5

page 6

page 7

06/19/2020

Capturing Video Frame Rate Variations via Entropic Differencing

High frame rate videos are increasingly getting popular in recent years,...
03/03/2021

User Generated HDR Gaming Video Streaming: Dataset, Codec Comparison and Challenges

Gaming video streaming services have grown tremendously in the past few ...
09/27/2021

High Frame Rate Video Quality Assessment using VMAF and Entropic Differences

The popularity of streaming videos with live, high-action content has le...
10/26/2020

ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction

We consider the problem of conducting frame rate dependent video quality...
08/20/2020

Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming

The diversity of video delivery pipeline poses a grand challenge to the ...
02/27/2020

BBAND Index: A No-Reference Banding Artifact Predictor

Banding artifact, or false contouring, is a common video compression imp...
04/13/2019

YouTube UGC Dataset for Video Compression Research

Non-professional video, commonly known as User Generated Content (UGC) h...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.