Personalized TV Distribution to Adaptive HTTP Streaming Clients

There is a growing interest in delivering personalized viewing experiences where the media content is tailored to the individual user. Personalized advertisements are used today by content providers to enhance user experience and increase revenue. The impact of personalized media distribution on the end-to-end system, in particular Content Delivery Networks (CDNs), is largely unstudied. In this paper, we study the delivery of personalized TV to a plurality of streaming clients leveraging adaptive HTTP streaming technologies. A personalized TV channel is composed of a sequence of video and Ad slots which are customized for the user. We quantify the personalization overhead and propose different approaches for efficient delivery of personalized DASH content. Results from a CDN simulator indicate that significant reductions in CDN traffic and storage requirements can be achieved without deteriorating the streaming bitrate of the clients.