A Subjective Study for the Design of Multi-resolution ABR Video Streams with the VP9 Codec
Venue
SPIE Electronic Imaging, Human Visual Perception (2016) (to appear)
Publication Year
2016
Authors
Chao Chen, Sasi Inguva, Andrew Rankin, Anil Kokaram
BibTeX
Abstract
Adaptive bitrate (ABR) streaming is one enabling technology for video streaming
over modern throughput-varying communication networks. A widely used ABR streaming
method is to adapt the video bitrate to channel throughput by dynamically changing
the video resolution. Since videos have different rate-quality performances at
different resolutions, such ABR strategy can achieve better rate-quality trade-off
than single resolution ABR streaming. The key problem for resolution switched ABR
is to work out the bitrate appropriate at each resolution. In this paper, we
investigate optimal strategies to estimate this bitrate using both quantitative and
subjective quality assessment. We use the design of 2K and 4K bitrates as an
example of the performance of this strategy. We introduce strategies for selecting
an appropriate corpus for subjective assessment and find that at this high
resolution there is good agreement between quantitative and subjective analysis.
