An Improved QoE Evaluation Model for HTTP Adaptive Streaming HTTP adaptive streaming (HAS) is an adaptive bitrate streaming technique that enables high quality streaming of media content over the Internet delivered from conventional HTTP web servers. ITUT Rec. P.1203.3 is the first standardized Quality of Experience model for audiovisual HTTP Adaptive Streaming. It takes into account the subjective impact of HAStypical effects(such as buffering, quality switches) on users. But the buffering inputs required for the model is too complex and redundant, and it does not consider the impact of the worst video quality on QoE. In the paper we optimize the ITUT Rec. P.1203.3 model in the above two aspects, simplify model input and improve model accuracy and stability.

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.