Szczegóły publikacji
Opis bibliograficzny
Next-generation video QoE optimization: bridging metrics and perception in DASH ABR / Syed UDDIN // W: MMSys'26 [Dokument elektroniczny] : proceedings of the ACM Multimedia Systems conference 2026 : Hong Kong, April 4–8, 2026. — Wersja do Windows. — Dane tekstowe. — New York : Associacion for Computing Machinery, 2026. — e-ISBN: 979-8-4007-2481-7. — S. 346–350. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 350, Abstr. — Publikacja dostępna online od: 2026-04-06
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166956 |
|---|---|
| Data dodania do BaDAP | 2026-04-14 |
| Tekst źródłowy | URL |
| DOI | 10.1145/3793853.3798406 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Wydawca | Association for Computing Machinery (ACM) |
Abstract
Adaptive video streaming employs bitrate adaptation algorithms to balance video quality and playback stability under dynamic network conditions. However, the network metrics do not capture user-perceived Quality of Experience (QoE) is a critical factor in video streaming. This paper presents a hybrid model of video QoE in the DASH domain by integrating objective measurements with crowd-sourced and laboratory-based subjective studies. The relationship between key network metrics, including bitrate, rebuffering, quality switching, and latency, and perceived video quality is analyzed across various bandwidth conditions. The evaluation of these studies reveals inconsistencies between objective metrics and subjective opinions, highlighting the need for integrated evaluation methodologies to ensure reliable QoE assessment in adaptive video streaming systems.