Motion-Based Rate Adaptation in WebRTC Videoconferencing Using Scalable Video Coding

This paper proposes methods for rate adaptation by motion-based spatial and temporal resolution selection in both mesh-connected and selective-forwarding-unit (SFU) connected WebRTC videoconferencing using scalable video coding. In the mesh-connected case, the proposed motion-adaptive spatial/tempor...

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Vydáno v:IEEE transactions on multimedia Ročník 21; číslo 2; s. 429 - 441
Hlavní autoři: Bakar, Gonca, Kirmizioglu, Riza Arda, Tekalp, A. Murat
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.02.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptation
Adaptive control
Coding
Encoding
Finite element method
Measurement
mesh-connection
motion-adaptive layer selection
Parameters
Peers
Quality assessment
scalable VP9 coding
selective forwarding unit
Spatial resolution
Static VAr compensators
Streaming media
Temporal resolution
Video teleconferencing
Videoconferencing
WebRTC
ISSN:1520-9210, 1941-0077
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Shrnutí:This paper proposes methods for rate adaptation by motion-based spatial and temporal resolution selection in both mesh-connected and selective-forwarding-unit (SFU) connected WebRTC videoconferencing using scalable video coding. In the mesh-connected case, the proposed motion-adaptive spatial/temporal layer selection allows each peer to send video to different peers with different terminal types and network rates at different rates using a single encoder. In the SFU-connected case, motion-adaptive rate control is used both at peers to adapt to the network rate between the sending peer and SFU by spatio-temporal resolution adaptation and at the SFU by layer selection to adapt to the network rate between the SFU and receiving peer. Experimental results show that our proposed motion-based rate adaptation achieves better perceptual video quality with sufficiently high frame rates and lower quantization parameter for video with high motion; and high spatial resolution and lower quantization parameter for video with low motion compared to simple rate-distortion model-based layer selection that does not use motion complexity, at the same rate.
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ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2018.2856629