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All rights reserved. ©2020
All rights reserved. ©2020
PSTR: Per-title encoding using Spatio-Temporal Resolutions
Hadi Amirpour, Christian Timmerer, and Mohammad Ghanbari
July 2021
1
IEEE International Conference on Multimedia & Expo (ICME)
All rights reserved. ©2020
● Introduction
● Per-title encoding
● High framerate videos
● PSTR
● Experimental results
● Conclusion
All rights reserved. ©2020
2
Introduction
In HAS:
● a video source is split into segments
● each segment is encoded at multiple bitrates
● compatibility with network condition is increased
3
4
Introduction
at higher bitrates:
● there are enough bits to allocate to all frames and their pixels
at lower bitrates:
● the lack of an adequate bitrate
● video frames are downscaled to get enough bitrate
● an upscaling artifact is added
● a trade-off is established between the perceived video quality of:
o the compressed video in its original resolution
o the video compressed at a lower resolution and its upscaled version
5
Per-title encoding
6
Per-title encoding
7
Per-title encoding
● it is based on the fact that in a given bitrate range, each resolution performs better than others in a
specific region and these regions are dependent on the video content.
● the bitrate ladder is optimized over:
o bitrate
o resolution
8
Per-title encoding
In per-title encoding:
● each video segment is encoded at multiple resolutions and bitrates
● all resolutions are upscaled to that of the original video
● scaled objective metrics are calculated
● a convex-hull is formed
9
Framerate
by increasing framerate:
● visual clarity is enhanced
● temporal artifacts such as flickering, stuttering, and motion blur are reduced
higher framerate videos require higher bitrates:
● a trade-off between framerate and compression efficiency is established
10
Framerate
11
PSTR: Per-title encoding using Spatio-Temporal Resolutions
in PSTR, the video quality is considered as a function of three parameters:
● bitrate
● spatial resolution
● temporal resolution ( framerate)
QoE
12
PSTR: Per-title encoding using Spatio-Temporal Resolution
13
PSTR: Per-title encoding using Spatio-Temporal Resolution
14
Experimental results
15
Experimental results
16
Experimental results
17
Conclusion
• this paper derives an improved bitrate ladder for each content using both spatial and temporal
resolutions.
• experimental results show that the proposed method significantly improves the performance of the
bitrate saving by considering the temporal resolution in addition to the spatial resolution.
• the temporal resolution shows a similar impact on the bitrate saving as the spatial resolution
• our findings reveal in general (i) at lower bitrates using lower spatial resolution and framerates and
(ii) at higher bitrates using higher spatial resolution and framerates yield the best
• we note that we expect a significant increase of time-complexity by using both temporal and spatial
resolution for per-title encoding, which we aim to reduce as part of future work.
Thank you
18
www.athena.itec.aau.at

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PSTR: Per-title encoding using Spatio-Temporal Resolutions

  • 1. All rights reserved. ©2020 All rights reserved. ©2020 PSTR: Per-title encoding using Spatio-Temporal Resolutions Hadi Amirpour, Christian Timmerer, and Mohammad Ghanbari July 2021 1 IEEE International Conference on Multimedia & Expo (ICME)
  • 2. All rights reserved. ©2020 ● Introduction ● Per-title encoding ● High framerate videos ● PSTR ● Experimental results ● Conclusion All rights reserved. ©2020 2
  • 3. Introduction In HAS: ● a video source is split into segments ● each segment is encoded at multiple bitrates ● compatibility with network condition is increased 3
  • 4. 4 Introduction at higher bitrates: ● there are enough bits to allocate to all frames and their pixels at lower bitrates: ● the lack of an adequate bitrate ● video frames are downscaled to get enough bitrate ● an upscaling artifact is added ● a trade-off is established between the perceived video quality of: o the compressed video in its original resolution o the video compressed at a lower resolution and its upscaled version
  • 7. 7 Per-title encoding ● it is based on the fact that in a given bitrate range, each resolution performs better than others in a specific region and these regions are dependent on the video content. ● the bitrate ladder is optimized over: o bitrate o resolution
  • 8. 8 Per-title encoding In per-title encoding: ● each video segment is encoded at multiple resolutions and bitrates ● all resolutions are upscaled to that of the original video ● scaled objective metrics are calculated ● a convex-hull is formed
  • 9. 9 Framerate by increasing framerate: ● visual clarity is enhanced ● temporal artifacts such as flickering, stuttering, and motion blur are reduced higher framerate videos require higher bitrates: ● a trade-off between framerate and compression efficiency is established
  • 11. 11 PSTR: Per-title encoding using Spatio-Temporal Resolutions in PSTR, the video quality is considered as a function of three parameters: ● bitrate ● spatial resolution ● temporal resolution ( framerate) QoE
  • 12. 12 PSTR: Per-title encoding using Spatio-Temporal Resolution
  • 13. 13 PSTR: Per-title encoding using Spatio-Temporal Resolution
  • 17. 17 Conclusion • this paper derives an improved bitrate ladder for each content using both spatial and temporal resolutions. • experimental results show that the proposed method significantly improves the performance of the bitrate saving by considering the temporal resolution in addition to the spatial resolution. • the temporal resolution shows a similar impact on the bitrate saving as the spatial resolution • our findings reveal in general (i) at lower bitrates using lower spatial resolution and framerates and (ii) at higher bitrates using higher spatial resolution and framerates yield the best • we note that we expect a significant increase of time-complexity by using both temporal and spatial resolution for per-title encoding, which we aim to reduce as part of future work.