Multi-Codec DASH Dataset
This addresses the need for efficient codec usage in HTTP adaptive streaming services, but it is incremental as it focuses on dataset creation rather than a new method.
The paper tackles the challenge of multiple video codecs in adaptive streaming by proposing a multi-codec DASH dataset with AVC, HEVC, VP9, and AV1 to enable interoperability testing and streaming experiments, and provides a preliminary evaluation of encoding efficiency.
The number of bandwidth-hungry applications and services is constantly growing. HTTP adaptive streaming of audio-visual content accounts for the majority of today's internet traffic. Although the internet bandwidth increases also constantly, audio-visual compression technology is inevitable and we are currently facing the challenge to be confronted with multiple video codecs. This paper proposes a multi-codec DASH dataset comprising AVC, HEVC, VP9, and AV1 in order to enable interoperability testing and streaming experiments for the efficient usage of these codecs under various conditions. We adopt state of the art encoding and packaging options and also provide basic quality metrics along with the DASH segments. Additionally, we briefly introduce a multi-codec DASH scheme and possible usage scenarios. Finally, we provide a preliminary evaluation of the encoding efficiency in the context of HTTP adaptive streaming services and applications.