Feature fusion quality assessment model for DASH video streaming

Author:

Zhang Hong1,Li Fan1,Yan Zhisheng2

Affiliation:

1. School of Information and Communications Engineering Xi'an Jiaotong University Xi'an Shaanxi China

2. Department of Computer Science Georgia State University Atlanta Georgia USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. 3GPP TS 26.247 V16.1.0 Progressive download and dynamic adaptive streaming over HTTP.https://www.3gpp.org/ftp/Specs/archive/26_series/26.247/26247‐g10.zip(2019). Accessed 10 May 2019

2. ITU‐Recommendation BT.500‐13 Methodology for the subjective assessment of the quality of television pictures. International Telecommunication Union Geneva Switzerland.https://www.itu.int/rec/R‐REC‐BT.500‐13‐201201‐S/en(2012). Accessed 28 Apr. 2019

3. A Quality-of-Experience Index for Streaming Video

4. A Continuous QoE Evaluation Framework for Video Streaming Over HTTP

5. A Subjective and Objective Study of Stalling Events in Mobile Streaming Videos

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2. Unsupervised Learning Data-Driven Continuous QoE Assessment in Adaptive Streaming-Based Television System;Applied Sciences;2022-08-19

3. QoE Models in the Wild: Comparing Video QoE Models Using a Crowdsourced Data Set;2021 13th International Conference on Quality of Multimedia Experience (QoMEX);2021-06-14

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