Abstract
Video streaming services must satisfy the growing consumer request for having the best video quality (VQ), anywhere, anytime. As such, and to optimize the end-user VQ for various network and end-device capabilities, over-the-top (OTT) video delivery infrastructure massively relies on adaptive bitrate (ABR) streaming technology. In the common scenario, it consists of processing and storing various compressed representations of the content to stream, that is, different couples of resolution and bitrate, also known as the bitrate ladder. As both processing and storage resources are expensive, each content provider must optimize its operating and infrastructure costs. This article discusses the existing limitations in the ABR streaming landscape and introduces an innovative selective storage algorithm that tackles one of the main challenges in ABR streaming: the storage cost. This algorithm reduces up to 30% of the amount of required storage for the same VQ and remains compliant with existing optimizations in the OTT ecosystem.
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