Automated QoE Evaluation of Dynamic Adaptive Streaming over HTTP (bibtex)
@INPROCEEDINGS{Alberti_QoMEX2013_DASH, language = {EN}, author = {Alberti, Claudio and Renzi, Daniele and Timmerer, Christian and Mueller, Christopher and Lederer, Stefan and Battista, Stefano and Mattavelli, Marco}, title = {Automated QoE Evaluation of Dynamic Adaptive Streaming over HTTP}, editor = {Timmerer, Christian and Le Callet, Patrick and Varela, Martin and Winkler, Stefan and Falk, Tiago}, talktype = {registered}, location = {Klagenfurt am W├Ârthersee, Austria}, talkdate = {2013.07.03}, booktitle = {Proceedings of the 5th International Workshop on Quality of Multimedia Experience (QoMEX'13)}, publisher = {IEEE}, address = {Los Alamitos, CA, USA}, pages = {58--63}, month = {jul}, year = {2013}, abstract = {Dynamic Adaptive Streaming over HTTP (DASH) is referred to as a multimedia streaming standard to deliver high quality multimedia content over the Internet using conventional HTTP Web servers. As a fundamental feature, it enables automatic switching of quality levels according to network conditions, user requirements, and expectations. Currently, the proposed adaptation schemes for HTTP streaming mostly rely on throughput measurements and/or buffer-related metrics, such as buffer exhaustion and levels. In this paper, we propose to enhance the DASH adaptation logic by feeding it with additional information from our evaluation of the users' perception approximating the user- perceived quality of video playback. The proposed model aims at conveniently combining TCP-, buffer-, and media content-related metrics as well as user requirements and expectations to be used as an input for the DASH adaptation logic. Experiments have demonstrated that the chosen model enhances the capability of the adaptation logic to select the optimal video quality level. Finally, we integrated all our findings into a real DASH system with QoE monitoring capabilities.}, keywords = {DASH, Quality of Experience, monitoring, content adaptation}, pdf = {} }
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