TQP: An Efficient Video Quality Assessment Framework for Adaptive Bitrate Video Streaming-Reference-Cited by-同舟云学术

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TQP: An Efficient Video Quality Assessment Framework for Adaptive Bitrate Video Streaming

Published:2024 Issue: Volume:12 Page:88264-88278
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aslam Muhammad Azeem¹^ORCID,Wei Xu²^ORCID,Ahmed Nisar³^ORCID,Saleem Gulshan⁴,Shuangtong Zhu²,Xu Yimei¹,Hongfei Hu¹

Affiliation:

1. School of Information Engineering, Xi’an Eurasia University, Xi’an, Shaanxi, China

2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, China

3. Department of Computer Engineering, University of Engineering and Technology at Lahore, Lahore, Punjab, Pakistan

4. Department of Computer Science, Lahore Garrison University, Lahore, Punjab, Pakistan

Funder

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China

School of Information Engineering, Xi’an Eurasia University, Xi’an, Shaanxi, China

Chinese Academy of Sciences President’s International Fellowship Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10568959.pdf?arnumber=10568959

Reference66 articles.

1. Deep ensembling for perceptual image quality assessment

2. Spherical Convolution Empowered Viewport Prediction in 360 Video Multicast with Limited FoV Feedback

3. Video-Based Engagement Estimation of Game Streamers: An Interpretable Multimodal Neural Network Approach

4. Video Streaming Analysis in Multi-tier Edge-Cloud Networks

5. Optimal Volumetric Video Streaming with Hybrid Saliency based Tiling

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