Subjective Evaluation of Frame Rate in Bitrate-Constrained Live Streaming

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Authors: Jiaqi He, Zhengfang Duanmu, Kede Ma
Cited by: 0

Abstract

Bandwidth constraints in live streaming require video codecs to balance compression strength and frame rate, yet the perceptual consequences of this trade-off remain underexplored. We present the high frame rate live streaming (HFR-LS) dataset, comprising 384 subject-rated 1080p videos encoded at multiple target bitrates by systematically varying compression strength and frame rate. A single-stimulus, hidden-reference subjective study shows that frame rate has a noticeable effect on perceived quality, and interacts with both bitrate and source content. The HFR-LS dataset is available at https://github.com/real-hjq/HFR-LS to facilitate research on bitrate-constrained live streaming.

Fields of Study & Subjects

Image and Video Quality Assessment Video Coding and Compression Technologies Speech and Audio Processing

Publication details

Journal / source
arXiv (Cornell University)
Publication date
27 January 2026
Document type
Preprint