Naslov
Impact of Video Segmentation on Switching in Adaptive Streaming

Autori
Vlaović, Jelena ; Žagar, Drago ; Rimac-Drlje, Snježana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
SoftCOM 2020 PhD Forum Book of Abstracts / - , 2020, 8-9

Skup
28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)

Mjesto i datum
Hvar, Hrvatska, 17.09.2020. - 19.09.2020

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti

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