QoEbased enhancements of Chunked CMAF over low latency video streams 5G infrastructures are in the roadmap of content delivery services, aiming to forward all broadcast and broadband video traffic using a common telecommunication network architecture. Streaming services will benefit from 5G networks which promise higher capacity, higher bandwidth and lower latency than current infrastructures. However, the widely employed streaming technologies, such as Dynamic Adaptive Streaming over HTTP (MPEGDASH), require an intrinsic high latency of tens of seconds to enforce the Quality of Experience (QoE). These conditions turn MPEGDASH unfavourable when compared with a traditional broadcast pipeline for live events in terms of latency. Therefore, improvements on latency of streaming technologies are necessary to deliver live broadcast services over 5G networks. The media industry proposed a Chunked Common Media Application Format (Chunked CMAF) in order to achieve latency under a second. In this paper, we show an implementation of a Chunked CMAF for MPEGDASH live videos in a real deployment. To further evaluate the benefits of CMAF we evaluate the QoE results when delivering a legacy MPEGDASH live content compared to a Chunked CMAFpowered one.

Designing QoE Experiments to Evaluate PeertoPeer Streaming Applications Quality of Experience (QoE) refers to subjective criteria for evaluating multimedia content. Methods have been devised to study the design of Voice over IP systems and video codecs. In recent years, due to more abundant network bandwidth, it has become quite popular to watch video streamed over the Internet, whether by clientserver method or through a peertopeer (P2P) network. In this paper, we describe our experience in conducting QoE studies of P2P streaming using a chunklevel model. Instead of considering finegrained network service impairments such as bit errors, packet losses or delays, we focus on chunk level delays. We carry out some preliminary QoE experiments on lowbit rate, lowframe rate and lowresolution video (3Lvideo) sequences. We apply the chunklevel model to help improve the design of the P2P streaming algorithms, and the design of video players that playback network streamed video.