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0510
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Yang, F.Z.[Fu-Zheng],
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Earlier:
A Prototype No-Reference Video Quality System,
CRV07(411-417).
IEEE DOI
0705
BibRef
da Silva, W.B.[Wyllian Bezerra],
Fonseca, K.V.O.[Keiko Verônica Ono],
Pohl, A.D.P.[Alexandre De_Almeida Prado],
A Reduced-Reference Video Quality Assessment Method Based on the
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IEICE(E96-D), No. 3, March 2013, pp. 708-718.
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da Silva, W.B.[Wyllian Bezerra],
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Romani, E.[Eduardo],
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Pohl, A.D.P.[Alexandre De_Almeida Prado],
Full-Reference SSIM Metric for Video Quality Assessment with
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QoEM15(547-554).
Springer DOI
1511
BibRef
Seyedebrahimi, M.,
Bailey, C.,
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Model and Performance of a No-Reference Quality Assessment Metric for
Video Streaming,
CirSysVideo(23), No. 12, 2013, pp. 2034-2043.
IEEE DOI
1312
Analytical models
BibRef
Sedano, I.[Inigo],
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Kihl, M.[Maria],
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Full-reference video quality metric assisted the development of
no-reference bitstream video quality metrics for real-time network
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BibRef
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BibRef
Xue, Y.Y.[Yuan-Yi],
Erkin, B.,
Wang, Y.[Yao],
A Novel No-Reference Video Quality Metric for Evaluating Temporal
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MultMed(17), No. 1, January 2015, pp. 134-139.
IEEE DOI
1502
video signal processing
BibRef
Zhu, K.F.[Kong-Feng],
Li, C.,
Asari, V.[Vijayan],
Saupe, D.[Dietmar],
No-Reference Video Quality Assessment Based on Artifact Measurement
and Statistical Analysis,
CirSysVideo(25), No. 4, April 2015, pp. 533-546.
IEEE DOI
1504
Discrete cosine transforms
BibRef
Zhu, K.F.[Kong-Feng],
Hirakawa, K.[Keigo],
Asari, V.[Vijayan],
Saupe, D.[Dietmar],
A no-reference video quality assessment based on Laplacian pyramids,
ICIP13(49-53)
IEEE DOI
1402
Databases
BibRef
Gu, K.[Ke],
Zhai, G.T.[Guang-Tao],
Lin, W.S.[Wei-Si],
Yang, X.K.[Xiao-Kang],
Zhang, W.J.[Wen-Jun],
No-Reference Image Sharpness Assessment in Autoregressive Parameter
Space,
IP(24), No. 10, October 2015, pp. 3218-3231.
IEEE DOI
1507
Brain modeling
BibRef
Bosse, S.,
Maniry, D.,
Müller, K.R.,
Wiegand, T.,
Samek, W.,
Deep Neural Networks for No-Reference and Full-Reference Image
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IP(27), No. 1, January 2018, pp. 206-219.
IEEE DOI
1712
feature extraction, image colour analysis,
learning (artificial intelligence), neural nets,
regression
BibRef
Ndjiki-Nya, P.[Patrick],
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Wiegand, T.[Thomas],
Efficient Full-Reference Assessment of Image and Video Quality,
ICIP07(II: 125-128).
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0709
BibRef
Singh, R.[Ranjit],
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A distortion-agnostic video quality metric based on multi-scale
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Elsevier DOI
1904
Video quality assessment (VQA), No-reference (NR),
Local binary patterns (LBP), Three orthogonal planes (TOP),
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Vranješ, M.[Mario],
Bajcinovci, V.[Viliams],
Grbic, R.[Ratko],
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No-reference artifacts measurements based video quality metric,
SP:IC(78), 2019, pp. 345-358.
Elsevier DOI
1909
AMB-VQM, Video quality assessment, No-reference,
Video artifacts, Video quality database
BibRef
Oh, S.R.,
Jeong, S.,
Heo, P.,
Kim, D.,
Kim, H.Y.,
Park, H.,
A New No-Reference Method for Judder Artifact Assessment,
CirSysVideo(29), No. 10, October 2019, pp. 2888-2898.
IEEE DOI
1910
image motion analysis, image sequences, motion compensation,
regression analysis, video signal processing, visual perception,
subjective assessment
BibRef
Korhonen, J.,
Two-Level Approach for No-Reference Consumer Video Quality Assessment,
IP(28), No. 12, December 2019, pp. 5923-5938.
IEEE DOI
1909
Video recording, Quality assessment, Streaming media,
Feature extraction, Distortion, Image coding, Databases,
quality management
BibRef
You, J.,
Korhonen, J.,
Deep Neural Networks for No-Reference Video Quality Assessment,
ICIP19(2349-2353)
IEEE DOI
1910
3D-CNN, deep learning, LSTM, video quality assessment
BibRef
Varga, D.[Domonkos],
Szirányi, T.[Tamás],
No-reference video quality assessment via pretrained CNN and LSTM
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SIViP(13), No. 8, November 2019, pp. 1569-1576.
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Varga, D.[Domonkos],
Composition-preserving deep approach to full-reference image quality
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SIViP(14), No. 6, September 2020, pp. 1265-1272.
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2008
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Rohil, M.K.[Mukesh Kumar],
Gupta, N.[Neetika],
Yadav, P.[Prakash],
An improved model for no-reference image quality assessment and a
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SIViP(14), No. 1, February 2020, pp. 205-213.
WWW Link.
2001
BibRef
Liu, L.X.[Li-Xiong],
Wang, T.S.[Tian-Shu],
Huang, H.[Hua],
Bovik, A.C.[Alan Conrad],
Video quality assessment using space-time slice mappings,
SP:IC(82), 2020, pp. 115749.
Elsevier DOI
2001
Video quality assessment, Image quality assessment,
Spatial temporal slice, Space-time stability, Learning based pooling
BibRef
Zheng, Q.[Qi],
Tu, Z.Z.[Zheng-Zhong],
Hao, Z.J.[Zhi-Jian],
Zeng, X.Y.[Xiao-Yang],
Bovik, A.C.[Alan C.],
Fan, Y.[Yibo],
Blind Video Quality Assessment via Space-Time Slice Statistics,
ICIP22(451-455)
IEEE DOI
2211
Codes, Statistical analysis, Databases, User-generated content,
Predictive models, Feature extraction, Distortion,
user-generated content
BibRef
Jin, Y.Z.[Yi-Ze],
Patney, A.[Anjul],
Webb, R.[Richard],
Bovik, A.C.[Alan C.],
FOVQA: Blind Foveated Video Quality Assessment,
IP(31), 2022, pp. 4571-4584.
IEEE DOI
2207
Quality assessment, Predictive models, Video recording, Distortion,
Solid modeling, Feature extraction, Visualization,
virtual reality
BibRef
Venkataramanan, A.K.[Abhinau K.],
Bovik, A.C.[Alan C.],
Quality Modeling Under A Relaxed Natural Scene Statistics Model,
Southwest24(65-68)
IEEE DOI
2503
GSM, Image quality, Visualization, Analytical models,
Social networking (online), User-generated content, Kurtosis
BibRef
Jin, Y.Z.[Yi-Ze],
Goodall, T.,
Patney, A.[Anjul],
Webb, R.[Richard],
Bovik, A.C.[Alan C.],
A Foveated Video Quality Assessment Model Using Space-Variant Natural
Scene Statistics,
ICIP21(1419-1423)
IEEE DOI
2201
Solid modeling, Stacking, Virtual reality, Streaming media,
Video compression, Nonuniform sampling, Retina, foveation,
virtual reality
BibRef
Ebenezer, J.P.[Joshua Peter],
Shang, Z.X.[Zai-Xi],
Wu, Y.J.[Yong-Jun],
Wei, H.[Hai],
Sethuraman, S.[Sriram],
Bovik, A.C.[Alan C.],
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips,
IP(30), 2021, pp. 8059-8074.
IEEE DOI
2109
Quality assessment, Video recording, Prediction algorithms, Optical distortion,
Visualization, Distortion, Databases, human visual system
BibRef
Farid, M.S.[Muhammad Shahid],
Lucenteforte, M.[Maurizio],
Grangetto, M.[Marco],
No-reference quality metric for HEVC compression distortion estimation
in depth maps,
SIViP(14), No. 1, February 2020, pp. 195-203.
Springer DOI
2001
BibRef
Bezerra da Silva, W.[Wyllian],
Mikowski, A.[Alexandre],
Casali, R.M.[Rafael Machado],
No-reference video quality assessment method based on spatio-temporal
features using the ELM algorithm,
IET-IPR(14), No. 7, 29 May 2020, pp. 1316-1326.
DOI Link
2005
BibRef
Wu, W.,
Li, Q.,
Chen, Z.,
Liu, S.,
Semantic Information Oriented No-Reference Video Quality Assessment,
SPLetters(28), 2021, pp. 204-208.
IEEE DOI
2102
Feature extraction, Semantics, Distortion, Quality assessment,
Data mining, Video recording, Degradation, low-level features
BibRef
Qian, L.,
Pan, T.,
Zheng, Y.,
Zhang, J.,
Li, M.,
Yu, B.,
Wang, B.,
No-Reference Nonuniform Distorted Video Quality Assessment Based on
Deep Multiple Instance Learning,
MultMedMag(28), No. 1, January 2021, pp. 28-37.
IEEE DOI
2104
Feature extraction, Quality assessment, Distortion, Reliability,
Video recording, Training, No reference, Video quality assessment,
Multiple instance learning
BibRef
Otroshi-Shahreza, H.[Hatef],
Amini, A.[Arash],
Behroozi, H.[Hamid],
Feature-based no-reference video quality assessment using Extra Trees,
IET-IPR(16), No. 6, 2022, pp. 1531-1543.
DOI Link
2204
BibRef
Chen, B.L.[Bao-Liang],
Zhu, L.Y.[Ling-Yu],
Li, G.[Guo],
Lu, F.B.[Fang-Bo],
Fan, H.F.[Hong-Fei],
Wang, S.Q.[Shi-Qi],
Learning Generalized Spatial-Temporal Deep Feature Representation for
No-Reference Video Quality Assessment,
CirSysVideo(32), No. 4, April 2022, pp. 1903-1916.
IEEE DOI
2204
Feature extraction, Quality assessment, Training, Video recording,
Image quality, Streaming media, Nonlinear distortion,
temporal aggregation
BibRef
Liu, Y.X.[Yong-Xu],
Wu, J.J.[Jin-Jian],
Li, L.[Leida],
Dong, W.S.[Wei-Sheng],
Zhang, J.P.[Jin-Peng],
Shi, G.M.[Guang-Ming],
Spatiotemporal Representation Learning for Blind Video Quality
Assessment,
CirSysVideo(32), No. 6, June 2022, pp. 3500-3513.
IEEE DOI
2206
Feature extraction, Spatiotemporal phenomena, Databases,
Quality assessment, Video recording, Data models, Task analysis,
weakly supervised learning
BibRef
Cao, Y.Q.[Yu-Qin],
Min, X.K.[Xiong-Kuo],
Sun, W.[Wei],
Zhai, G.T.[Guang-Tao],
Attention-Guided Neural Networks for Full-Reference and No-Reference
Audio-Visual Quality Assessment,
IP(32), 2023, pp. 1882-1896.
IEEE DOI
2303
BibRef
Earlier:
Deep Neural Networks for Full-Reference and No-Reference Audio-Visual
Quality Assessment,
ICIP21(1429-1433)
IEEE DOI
2201
Feature extraction, Visualization, Quality assessment, Measurement,
Streaming media, Video recording, multimodal fusion.
Deep learning, Databases, Fuses, Logic gates, Audio-visual quality assessment,
multimodal fusion
BibRef
Ebenezer, J.P.[Joshua P.],
Shang, Z.[Zaixi],
Wu, Y.J.[Yong-Jun],
Wei, H.[Hai],
Sethuraman, S.[Sriram],
Bovik, A.C.[Alan C.],
HDR-ChipQA: No-reference quality assessment on High Dynamic Range
videos,
SP:IC(129), 2024, pp. 117191.
Elsevier DOI
2411
High dynamic range, Video quality assessment, HDR-ChipQA
BibRef
Zuo, W.M.[Wang-Meng],
Zhao, D.B.[De-Bin],
Enhancing No-Reference Audio-Visual Quality Assessment via Joint
Cross-Attention Fusion,
SPLetters(32), 2025, pp. 556-560.
IEEE DOI
2501
Feature extraction, Visualization, Quality assessment,
Transformers, Correlation, Computational modeling, transformer
BibRef
Wan, Z.L.[Zhao-Lin],
Hao, X.G.[Xi-Guang],
Fan, X.P.[Xiao-Peng],
Zuo, W.M.[Wang-Meng],
Zhao, D.B.[De-Bin],
Enhancing No-Reference Audio-Visual Quality Assessment via Joint
Cross-Attention Fusion,
SPLetters(32), 2025, pp. 556-560.
IEEE DOI
2501
Feature extraction, Visualization, Quality assessment,
Transformers, Correlation, Computational modeling
BibRef
Yang, Y.[Yang],
Jiang, B.[Bo],
Wu, K.L.[Kai-Lin],
Prnet: A Progressive Regression Network for No-Reference
User-Generated-Content (UGC) Video Quality Assessment,
ICIP23(640-644)
IEEE DOI
2312
BibRef
Tu, Z.Z.[Zheng-Zhong],
Chen, C.J.[Chia-Ju],
Wang, Y.L.[Yi-Lin],
Birkbeck, N.[Neil],
Adsumilli, B.[Balu],
Bovik, A.C.[Alan C.],
Video Quality Assessment of User Generated Content:
A Benchmark Study and a New Model,
ICIP21(1409-1413)
IEEE DOI
2201
Visualization, Systematics, Computational modeling,
User-generated content, Transfer learning, Benchmark testing,
no-reference
BibRef
Zhang, Z.C.[Zi-Cheng],
Lu, W.[Wei],
Sun, W.[Wei],
Min, X.K.[Xiong-Kuo],
Wang, T.[Tao],
Zhai, G.T.[Guang-Tao],
Surveillance Video Quality Assessment Based on Quality Related
Retraining,
ICIP22(4278-4282)
IEEE DOI
2211
Head, Databases, Surveillance, Distortion, Multitasking,
Video surveillance, Quality assessment, Surveillance videos,
video quality assessment
BibRef
Yi, F.[Fuwang],
Chen, M.[Mianyi],
Sun, W.[Wei],
Min, X.K.[Xiong-Kuo],
Tian, Y.[Yuan],
Zhai, G.T.[Guang-Tao],
Attention Based Network for No-Reference UGC Video Quality Assessment,
ICIP21(1414-1418)
IEEE DOI
2201
Databases, User-generated content, Neural networks, Visual systems,
Logic gates, Feature extraction, Distortion,
attention mechanism
BibRef
Wu, W.[Wei],
Liu, Z.Z.[Zi-Zheng],
Chen, Z.Z.[Zhen-Zhong],
Liu, S.[Shan],
No-Reference Video Quality Assessment Based On Similarity Map
Estimation,
ICIP20(181-185)
IEEE DOI
2011
Quality assessment, Feature extraction, Video recording,
Databases, Image analysis,
spatio-temporal pooling
BibRef
Martinez, H.B.,
Farias, M.C.Q.,
Hines, A.,
A No-Reference Autoencoder Video Quality Metric,
ICIP19(1755-1759)
IEEE DOI
1910
no-reference quality metric, autoencoder, video quality,
degradations, blind quality metrics
BibRef
Ghadiyaram, D.,
Chen, C.,
Inguva, S.,
Kokaram, A.,
A no-reference video quality predictor for compression and scaling
artifacts,
ICIP17(3445-3449)
IEEE DOI
1803
Databases, Distortion, Feature extraction, Quality assessment,
Streaming media, Video recording, YouTube, H.264 compression,
scaling artifacts
BibRef
Zerman, E.[Emin],
Konuk, B.[Baris],
Nur, G.[Gokce],
Akar, G.B.[Gozde Bozdagi],
A parametric video quality model based on source and network
characteristics,
ICIP14(595-599)
IEEE DOI
1502
BibRef
Earlier: A2, A1, A3, A4:
A spatiotemporal no-reference video quality assessment model,
ICIP13(54-58)
IEEE DOI
1402
Databases.
Bit rate
BibRef
Yao, J.X.[Ji-Xian],
Zhang, Y.[Yuan],
Xu, G.Z.[Gui-Zhong],
Jin, M.[Meng],
No-Reference Objective Quality Assessment for Video Communication
Services Based on Feature Extraction,
CISP09(1-6).
IEEE DOI
0910
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Perceptual Video Quality .