Winkler, S.,
Issues in vision modeling for perceptual video quality assessment,
SP(78), No. 2, 1999, pp. 231-252.
BibRef
9900
Cavallaro, A.,
Winkler, S.,
Segmentation-driven perceptual quality metrics,
ICIP04(V: 3543-3546).
IEEE DOI
0505
BibRef
Hekstra, A.P.,
Beerends, J.G.,
Ledermann, D.,
de Caluwe, F.E.,
Kohler, S.,
Koenen, R.H.,
Rihs, S.,
Ehrsam, M.,
Schlauss, D.,
PVQM: A perceptual video quality measure,
SP:IC(17), No. 10, November 2002, pp. 781-798.
Elsevier DOI
0211
BibRef
You, J.Y.[Jun-Yong],
Reiter, U.[Ulrich],
Hannuksela, M.M.[Miska M.],
Gabbouj, M.[Moncef],
Perkis, A.[Andrew],
Perceptual-based quality assessment for audio-visual services: A survey,
SP:IC(25), No. 7, August 2010, pp. 482-501.
Elsevier DOI
1008
Survey, Video Quality. Objective quality metric; Subjective quality assessment; HVS;
Psychophysical approach; Engineering approach; Perception; Alignment;
PEAQ; Semantic importance
BibRef
Huang, Y.H.,
Ou, T.S.,
Su, P.Y.,
Chen, H.H.,
Perceptual Rate-Distortion Optimization Using Structural Similarity
Index as Quality Metric,
CirSysVideo(20), No. 11, November 2010, pp. 1614-1624.
IEEE DOI
1011
BibRef
Wang, Z.[Zhou],
Li, Q.A.[Qi-Ang],
Information Content Weighting for Perceptual Image Quality Assessment,
IP(20), No. 5, May 2011, pp. 1185-1198.
IEEE DOI
1104
BibRef
Earlier: A2, A1:
Video Quality Assessment by Incorporating a Motion Perception Model,
ICIP07(II: 173-176).
IEEE DOI
0709
See also Perceptual Image Coding Based on a Maximum of Minimal Structural Similarity Criterion.
BibRef
Hiremath, B.[Basavaraj],
Li, Q.A.[Qi-Ang],
Wang, Z.[Zhou],
Quality-Aware Video,
ICIP07(III: 469-472).
IEEE DOI
0709
BibRef
Park, J.,
Seshadrinathan, K.,
Lee, S.,
Bovik, A.C.,
Video Quality Pooling Adaptive to Perceptual Distortion Severity,
IP(22), No. 2, February 2013, pp. 610-620.
IEEE DOI
1302
BibRef
Zhao, Y.,
Yu, L.,
Chen, Z.,
Zhu, C.,
Video Quality Assessment Based on Measuring Perceptual Noise From
Spatial and Temporal Perspectives,
CirSysVideo(21), No. 12, December 2011, pp. 1890-1902.
IEEE DOI
1112
BibRef
Hameed, A.,
Dai, R.,
Balas, B.,
A Decision-Tree-Based Perceptual Video Quality Prediction Model and
Its Application in FEC for Wireless Multimedia Communications,
MultMed(18), No. 4, April 2016, pp. 764-774.
IEEE DOI
1604
Forward error correction
BibRef
Jang, S.,
Lee, J.S.,
On Evaluating Perceptual Quality of Online User-Generated Videos,
MultMed(18), No. 9, September 2016, pp. 1808-1818.
IEEE DOI
1609
Internet
BibRef
Silva, A.F.,
Farias, M.C.Q.[Mylène C.Q.],
Redi, J.A.,
Perceptual Annoyance Models for Videos With Combinations of Spatial
and Temporal Artifacts,
MultMed(18), No. 12, December 2016, pp. 2446-2456.
IEEE DOI
1612
Codecs
BibRef
Farias, M.C.Q.,
Mitra, S.K.,
No-Reference Video Quality Metric Based on Artifact Measurements,
ICIP05(III: 141-144).
IEEE DOI
0512
BibRef
Hu, S.,
Jin, L.,
Wang, H.,
Zhang, Y.,
Kwong, S.,
Kuo, C.C.J.,
Objective Video Quality Assessment Based on Perceptually Weighted
Mean Squared Error,
CirSysVideo(27), No. 9, September 2017, pp. 1844-1855.
IEEE DOI
1709
Distortion, Distortion measurement, Quality assessment,
Sensitivity, Video recording, Visualization,
Human visual system (HVS),
BibRef
Zou, W.J.[Wen-Jie],
Yang, F.Z.[Fu-Zheng],
Wan, S.[Shuai],
Perceptual video quality metric for compression artefacts: from
two-dimensional to omnidirectional,
IET-IPR(12), No. 3, March 2018, pp. 374-381.
DOI Link
1802
BibRef
Sinno, Z.[Zeina],
Bovik, A.C.[Alan C.],
Large-Scale Study of Perceptual Video Quality,
IP(28), No. 2, February 2019, pp. 612-627.
IEEE DOI
1811
BibRef
Earlier:
Large Scale Subjective Video Quality Study,
ICIP18(276-280)
IEEE DOI
1809
cameras, data compression, image capture, video coding,
video databases, video recording, video signal processing,
multimedia.
Distortion, Browsers,
Training, Testing, Video Quality Assessment, Subjective Study, Crowdsourcing
BibRef
Sinno, Z.,
Moorthy, A.K.,
de Cock, J.,
Li, Z.,
Bovik, A.C.,
Quality Measurement of Images on Mobile Streaming Interfaces Deployed
at Scale,
IP(29), 2020, pp. 2536-2551.
IEEE DOI
2001
Streaming media, Databases, Distortion, Visualization, Image coding,
Transform coding, Image quality assessment (IQA), mobile streaming
BibRef
Athar, S.,
Costa, T.,
Zeng, K.,
Wang, Z.,
Perceptual Quality Assessment of UHD-HDR-WCG Videos,
ICIP19(1740-1744)
IEEE DOI
1910
video quality assessment, high dynamic range, wide color gamut,
ultra high definition, 4K, subjective testing,
objective analysis
BibRef
Mustafa, S.[Safi],
Hameed, A.[Abdul],
Perceptual quality assessment of video using machine learning algorithm,
SIViP(13), No. 8, November 2019, pp. 1495-1502.
WWW Link.
1911
BibRef
Lin, L.,
Yu, S.,
Zhou, L.,
Chen, W.,
Zhao, T.,
Wang, Z.,
PEA265: Perceptual Assessment of Video Compression Artifacts,
CirSysVideo(30), No. 11, November 2020, pp. 3898-3910.
IEEE DOI
2011
Video coding, Databases, Encoding, Image color analysis,
Visualization, Image coding, Hemorrhaging, Video coding,
H265/HEVC
BibRef
Vishwakarma, A.K.[Anish Kumar],
Bhurchandi, K.M.[Kishor M.],
No-Reference Video Quality Assessment using novel hybrid features and
two-stage hybrid regression for score level fusion,
JVCIR(89), 2022, pp. 103676.
Elsevier DOI
2212
Human visual system, No-reference video quality assessment,
3D steerable DWT, Perceptual features, User generated content,
Support vector regression
BibRef
Chen, L.H.[Li-Heng],
Bampis, C.G.[Christos G.],
Li, Z.[Zhi],
Sole, J.[Joel],
Chen, C.[Chao],
Bovik, A.C.[Alan C.],
Learned fractional downsampling network for adaptive video streaming,
SP:IC(128), 2024, pp. 117172.
Elsevier DOI
2409
Downsampling, Convolutional neural networks,
Adaptive video streaming, Perceptual video quality
BibRef
Wen, W.[Wen],
Li, M.[Mu],
Yao, Y.[Yiru],
Sui, X.J.[Xiang-Jie],
Zhang, Y.B.[Ya-Bin],
Lan, L.[Long],
Fang, Y.M.[Yu-Ming],
Ma, K.[Kede],
Perceptual Quality Assessment of Virtual Reality Videos in the Wild,
CirSysVideo(34), No. 9, September 2024, pp. 8368-8381.
IEEE DOI Code:
WWW Link.
2410
Databases, Distortion, Quality assessment, Streaming media,
Video recording, Spatial resolution, psychophysics
BibRef
Zhang, Q.[Qi],
Wang, S.S.[Shan-She],
Zhang, X.F.[Xin-Feng],
Jia, C.M.[Chuan-Min],
Wang, Z.[Zhao],
Ma, S.W.[Si-Wei],
Gao, W.[Wen],
Perceptual Video Coding for Machines via Satisfied Machine Ratio
Modeling,
PAMI(46), No. 12, December 2024, pp. 7651-7668.
IEEE DOI
2411
Image coding, Task analysis, Visualization, Codecs, Encoding,
Video coding, Optimization, Video coding for machines,
satisfied user ratio
BibRef
Wang, X.,
Wang, K.,
Yang, B.,
Li, F.W.B.,
Liang, X.,
Perceptual Quality Assessment On DIBR Synthesized Videos With
Composite Distortions,
ICIP20(186-190)
IEEE DOI
2011
Videos, Distortion, Databases, Quality assessment,
Measurement, video quality assessment,
objective study
BibRef
Yim, J.G.,
Wang, Y.,
Birkbeck, N.,
Adsumilli, B.,
Subjective Quality Assessment for Youtube UGC Dataset,
ICIP20(131-135)
IEEE DOI
2011
Quality assessment, YouTube, Correlation, Video recording,
Video compression, Standards, Video quality assessment,
Crowd-sourcing
BibRef
Wang, Q.,
Yuan, H.,
Huo, J.,
Li, P.,
A Fidelity-Assured Rate Distortion Optimization Method for
Perceptual-Based Video Coding,
ICIP19(4135-4139)
IEEE DOI
1910
fidelity, perceptual quality, structural similarity (SSIM) index,
sum of squared error (SSE), rate distortion optimization (RDO).
BibRef
Xu, M.[Mai],
Zhang, J.Z.[Jing-Ze],
Ma, Y.[Yuan],
Wang, Z.L.[Zu-Lin],
A novel objective quality assessment method for perceptual video
coding in conversational scenarios,
VCIP14(29-32)
IEEE DOI
1504
Gaussian processes
BibRef
Cardoso, J.V.M.,
Alencar, M.S.,
Regis, C.D.M.,
Oliveira, I.P.,
Temporal analysis and perceptual weighting for objective video
quality measurement,
Southwest14(57-60)
IEEE DOI
1406
IP networks
BibRef
Ou, Y.F.[Yen-Fu],
Zeng, H.Q.[Hui-Qi],
Wang, Y.[Yao],
Perceptual quality of video with quantization variation:
A subjective study and analytical modeling,
ICIP12(1505-1508).
IEEE DOI
1302
BibRef
Seshadrinathan, K.[Kalpana],
Caviedes, J.E.[Jorge E.],
Control of video processing algorithms based on measured perceptual
quality characteristics,
Southwest12(177-180).
IEEE DOI
1205
BibRef
Osamu,
Naito, S.[Sei],
Sakazawa, S.[Shigeyuki],
Koike, A.[Atsushi],
Objective perceptual video quality measurement method based on hybrid
no reference framework,
ICIP09(2237-2240).
IEEE DOI
0911
BibRef
Ong, E.P.[Ee-Ping],
Lin, W.S.[Wei-Si],
Lu, Z.K.[Zhong-Kang],
Yao, S.[Susu],
Colour Perceptual Video Quality Metric,
ICIP05(III: 1172-1175).
IEEE DOI
0512
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Video Quality for Stereo, 3D Video .