Blind consumer video quality assessment with spatial-temporal perception and fusion-Reference-Cited by-同舟云学术

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Blind consumer video quality assessment with spatial-temporal perception and fusion

Published:2023-07-25 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Niu Yuzhen,Zheng Yuming,Wang Zhenlong,Zhong Mengzhen,Zhao Tiesong

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16242-8.pdf

Reference61 articles.

1. Argyropoulos S, Raake A, Garcia MN, List P (2011) No-reference video quality assessment for SD and HD H. 264/AVC sequences based on continuous estimates of packet loss visibility. In: International Workshop on Quality of Multimedia Experience (QoMEX), pp. 31–36

2. Chen Z, Wu D (2011) Prediction of transmission distortion for wireless video communication: Analysis. IEEE Trans Image Process 21(3):1123–1137

3. Chen C, Izadi M, Kokaram A (2016) A perceptual quality metric for videos distorted by spatially correlated noise. In: ACM International Conference on Multimedia, pp. 1277–1285

4. Chen P, Li L, Ma L, Wu J, Shi G (2020) Rirnet: Recurrent-in-recurrent network for video quality assessment. In: ACM International Conference on Multimedia, pp. 834–842

5. Cho K, van Merrienboer B, Gulcehre C, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Conference on Empirical Methods in Natural Language Processing (EMNLP)

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