The analysis of network video quality assessment based on different fuzzy neural network
Author:
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/s11042-023-16834-4.pdf
Reference24 articles.
1. Shang Z, Ebenezer JP, Yongjun Wu et al (2022) Study of the subjective and objective quality of high motion live streaming videos[J]. IEEE Trans Image Process 31:1027–1041
2. Li T, Min X, Zhao H et al (2021) Subjective and objective quality assessment of compressed screen content videos[J]. IEEE Trans Broadcast 67(2):438–449
3. Shi Z, Huang C (2022) The research of OTT video quality assessment method[J]. SIViP 16(02):569–577
4. Kancharla P, Channappayya SS (2022) Completely blind quality assessment of user generated video content[J]. IEEE Trans Image Process 31:263–274
5. Jin Y, Chen M, Goodall T et al (2021) Subjective and objective quality assessment of 2D and 3D foveated video compression in virtual reality[J]. IEEE Trans Image Process 30:5905–5919
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