engleski

Impact of Video Segmentation on Switching in Adaptive Streaming

Many parameters like stalling and switching influence the Quality of Experience (QoE) in adaptive streaming. Adaptive streaming algorithms use switching between different representations in order to adapt to changing network conditions. Both the segmentation process and the adaptation logic can be improved while taking into account the QoE and the switching frequency and depth. Although high switching frequency can affect the QoE, the users are more annoyed by the high average switching depth. Segment-Aware Rate Adaptation and Basic adaptation algorithm were used for testing the impact of video segmentation on switching in adaptive streaming. The proposed segmentation achieves the tradeoff between the switching frequency and the average switching depth. The switching frequency is in most test cases higher, but the average switching depth is in all cases lower which improves users QoE.

switching, adaptive streaming, segmentation, video quality, MPEG DASH

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