A Study of QoE-Aware Adaptation Mechanism for DASH Video Streaming based on Objective Visual Quality Assessment
| Autor: | Anissa Mokraoui, Ken Chen, Mustafa Othman |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Quality management
Computer science media_common.quotation_subject Real-time computing 020207 software engineering 02 engineering and technology Dynamic Adaptive Streaming over HTTP 0202 electrical engineering electronic engineering information engineering Key (cryptography) Bandwidth (computing) Quality (business) Quality of experience Metric (unit) Adaptation (computer science) media_common |
| Zdroj: | SPA |
| DOI: | 10.23919/spa50552.2020.9241250 |
| Popis: | Dynamic Adaptive Streaming over HTTP (DASH) is a largely used video streaming technique. One key point is its adaptation mechanism which resides at the client’s side. This allows various context-aware adaptation strategies in order to optimize the overall Quality of Experience (QoE) of the video streaming. In this paper, we present a study on an adaptation mechanism which uses an objective visual quality assessment, namely the Structural Similarity Index Measurement (SSIM) metric, as a key criterion for adaptation. More specifically, the SSIM helps to maximize the effective use of the available bandwidth, in the sense that we adopt a higher bitrate not only because it is allowed by network conditions, but also because it does bring a significant visual quality improvement (measured through SSIM metric). In this way, an upgrade in bandwidth consumption will be allowed only if there is a real contribution to visual quality. This study has been tested through a series of experimental results obtained with several strategies for the choice of the threshold value. Our tests are all based on real mobile-network traffic traces and real video sequences. |
| Databáze: | OpenAIRE |
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