A Scalable Video Coding Dataset and Toolchain for Dynamic Adaptive Streaming over HTTP

Author: Alpen-Adria-Universität Klagenfurt

Partner: Yes

Contact: Christian Kreuzberger (christian.kreuzberger@itec.aau.at)

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Description

With video streaming becoming more and more popular, the number of devices that are capable of streaming videos over the Internet is growing. This leads to a heterogeneous device landscape with varying demands. Dynamic Adaptive Streaming over HTTP (DASH) offers an elegant solution to these demands. Smart adaptation logics are able to adjust the clients’ streaming quality according to several (local) parameters. Recent research indicated benefits of blending Scalable Video Coding (SVC) with DASH, especially considering Future Internet architectures. However, except for the DASH Dataset with a single SVC encoded video, no other datasets are publicly available. The contribution of this paper is two-fold. First, a DASH/SVC dataset, containing multiple videos at varying bitrates and spatial resolutions including 1080p, is presented. Second, a toolchain for multiplexing SVC encoded videos is provided, therefore making our results reproducible and allowing researchers to generate their own datasets.

Access

The files are available for download via HTTP. Link: http://concert.itec.aau.at/SVCDataset/

References and Citation

Use of the datasets in published work should be acknowledged by a full citation to the authors' papers KPH15] at the MMSys conference (Proceedings of ACM MMSys '15, Portland, Oregon, March 18-20, 2015).

References

  • KPH15: C. Kreuzberger, D. Posch, H. Hellwagner. A Scalable Video Coding Dataset and Toolchain for Dynamic Adaptive Streaming over HTTP, Proceedings of ACM MMSys '15, Portland, Oregon, March 18-20, 2015.