SpaAbr: Size Prediction Assisted Adaptive Bitrate Algorithm for Scalable Video Coding Contents

Abstract

Dynamic Adaptive Streaming over HTTP(DASH) is a video transmission ptotocol to adapt to different network conditions and heterogeneous client devices. The client first requests and parses the Media Presentation Description(MPD) file from the DASH server to obtain basic information including the average bitrate list and segment URLs. After that, the adaptive bitrate(ABR) algorithm decides the quality of the next requested segment based on the network and buffer conditions. However, there is a big discrepancy between the segment size calculated with this coarse-grained average bitrate and the real size due to the constantly changing video scenes, which is especially obvious for variable bitrate(VBR) encoded videos. And this error is transparent to the ABR algorithm. This paper first analyzes and confirms the inter-layer correlation of scalable video coding(SVC) encoded contents, then designs a segment size prediction module to cooperate with the ABR algorithm. Experimental results show that predicting a certain enhancement layer(EL) segment size by all its previous layers can increase the probability that the predicted value falls within the accurate interval by 20% −58% compared to predicting the EL only by base layer(BL). Besides, the ABR algorithm assisted with size prediction module can increase the average bitrate by 29.2%, reduce the average bitrate switches by 13.4% and the average rebuffering events by 78.7% compared with the independent ABR algorithm.

Publication
2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
Jinghao Yuan
Jinghao Yuan
Master Student

I’m a Master candidate at SJTU Media Lab. I’m doing my research on multimedia streaming protocol and architecture, under the direction of Prof. Li Song.

Bingcong Lu
Bingcong Lu
PhD Student

I’m an Engineering PHD candidate at SJTU Media Lab. I’m doing my research on multimedia system and media streaming protocol, under the direction of Prof. Li Song and Prof. Wenjun Zhang.

Mingyue Hao
Mingyue Hao
Master Student

I’m a Master candidate at SJTU Media Lab. My research interests include multimedia streaming protocol, DASH, low-delay ABR algorithms, under the direction of Prof. Li Song and Prof. Wenjun Zhang.

Li Song
Li Song
Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.