Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience-Reference-Cited by-同舟云学术

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Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience

Published:2018-07 Issue:7 Volume:27 Page:3316-3331
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Bampis Christos G.^ORCID,Li Zhi,Katsavounidis Ioannis,Bovik Alan C.

Funder

Netflix Inc.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8332914/08315481.pdf?arnumber=8315481

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FLAME-VQA: A Fuzzy Logic-Based Model for High Frame Rate Video Quality Assessment;Future Internet;2023-09-01

2. Hybrid Reduced-Reference Video Quality Assessment of Streaming Services Over Reliable Transport;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

3. Perceptual video quality assessment: the journey continues!;Frontiers in Signal Processing;2023-06-27

4. PNATS-UHD-1-Long: An Open Video Quality Dataset for Long Sequences for HTTP-based Adaptive Streaming QoE Assessment;2023 15th International Conference on Quality of Multimedia Experience (QoMEX);2023-06-20

5. LSTM-Based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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