Paper Info
Title
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database
Abstract
Professional video editing tools can generate slow-motion video by interpolating frames from video recorded at a standard frame rate. Thereby the perceptual quality of such interpolated slow-motion videos strongly depends on the underlying interpolation techniques. We built a novel benchmark database that is specifically tailored for interpolated slow-motion videos (KoSMo-1k). It consists of 1,350 interpolated video sequences, from 30 different content sources, along with their subjective quality ratings from up to ten subjective comparisons per video pair. Moreover, we evaluated the performance of twelve existing full-reference (FR) image/video quality assessment (I/VQA) methods on the benchmark. In this way, we are able to show that specifically tailored quality assessment methods for interpolated slow-motion videos are needed, since the evaluated methods — despite their good performance on real-time video databases — do not give satisfying results when it comes to frame interpolation.
Year
DOI
Venue
2020
10.1109/QoMEX48832.2020.9123096
2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)
Keywords
DocType
ISSN
visual quality assessment,slow motion,optical flow,frame interpolation
Conference
2372-7179
ISBN
Citations 
PageRank 
978-1-7281-5966-9
0
0.34
References 
Authors
22
5
Name
Order
Citations
PageRank
Hui Men141.06
Vlad Hosu2163.90
Hanhe Lin3134.64
Andrés Bruhn4155882.42
Dietmar Saupe5110485.80