QoE-aware quality selection method for adaptive video streaming with scalable video coding

In this paper, we propose a quality of experience (QoE) aware quality-level selection method for adaptive video streaming with scalable video coding (SVC). The proposed method works on the client of dynamic adaptive streaming over HTTP (DASH) with SVC. The proposed method consists of the following t...

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Bibliographic Details
Main Authors: Mori, Shungo, Bandai, Masaki
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Quality of experience
Servers
Static VAr compensators
Streaming media
Switches
Throughput
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Summary:In this paper, we propose a quality of experience (QoE) aware quality-level selection method for adaptive video streaming with scalable video coding (SVC). The proposed method works on the client of dynamic adaptive streaming over HTTP (DASH) with SVC. The proposed method consists of the following two factors: segment groups and a buffer-aware layer selection algorithm. In the proposed method, a SVC-DASH client selects a layer every segment group. The proposed method select a quality of layer based on a playback buffer in a layer selection algorithm. The proposed method uses these two factors to prevent features which degrade QoE performance. We implement the proposed algorithm on a SVC-DASH system and evaluate the QoE performance of the proposed method via subjective evaluations of multiple users. As a result, we show that the proposed method is effective to improve QoE performance.
ISSN:2158-4001
DOI:10.1109/ICCE.2018.8326093