5.3.10.7 Motion Coding Evaluation, Video Quality, Video Image Quality Evaluations

Chapter Contents (Back)
Evaluation, Video. Video Quality. For compressed video: See also Video Quality for Compression, Coded Video. See also Video Quality for Stereo, 3D Video. See also General Rate-Quality, Rate Distortion, Rate Control, Error Tradeoffs for Video.

Aldridge, R.P.[Richard P.], Pearson, D.E.[Don E.],
A calibration method for continuous video quality (SSCQE) measurements,
SP:IC(16), No. 3, October 2000, pp. 321-332.
WWW Link. 0010
BibRef

van den Branden Lambrecht, C.J.,
Special Issue on Image and Video Quality Metrics,
SP(70), No. 3, November 1998, pp. 153-154. 9812
BibRef

Le Clerc, F.[Francois],
Method for estimating the noise level in a video sequence,
US_Patent6,307,888, Oct 23, 2001
WWW Link. BibRef 0110

Mitra, S.K., Pearson, J., Caviedes, J.E.,
Special issue on objective video quality metrics,
SP:IC(19), No. 2, February 2004, pp. 99-100.
WWW Link. 0401
BibRef

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

Sanchez-Marin, F.J., Srinivas, Y., Jabri, K.N.[Kadri N.], Wilson, D.L.[David L.],
Quantitative image quality analysis of a nonlinear spatio-temporal filter,
IP(10), No. 2, February 2001, pp. 288-295.
IEEE DOI 0104
BibRef

Watson, A.B.[Andrew B.],
Method and apparatus for evaluating the visual quality of processed digital video sequences,
US_Patent6,493,023, Dec 10, 2002
WWW Link. BibRef 0212

Jabri, K.N.[Kadri N.], Wilson, D.L.[David L.],
Quantitative assessment of image quality enhancement due to unsharp-mask processing in x-ray fluoroscopy,
JOSA-A(19), No. 7, July 2002, pp. 1297-1307.
WWW Link. 0208
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.
WWW Link. 0211
BibRef

Wang, Z.[Zhou], Lu, L.G.[Li-Gang], Bovik, A.C.[Alan C.],
Video quality assessment based on structural distortion measurement,
SP:IC(19), No. 2, February 2004, pp. 121-132.
WWW Link. 0401
BibRef
Earlier:
Video quality assessment using structural distortion measurement,
ICIP02(III: 65-68).
IEEE DOI 0210
BibRef
Earlier: A1, A3, A2:
Wavelet-based Foveated Image Quality Measurement for Region of Interest Image Coding,
ICIP01(II: 89-92).
IEEE DOI 0108
BibRef

Lu, Z.K.[Zhong-Kang], Lin, W.S., Yang, X.K., Ong, E.P., Yao, S.[Susa],
Modeling Visual Attention's Modulatory Aftereffects on Visual Sensitivity and Quality Evaluation,
IP(14), No. 11, November 2005, pp. 1928-1942.
IEEE DOI 0510
BibRef
Earlier: A1, A3, A2, A4, A5:
Modelling visual attention and motion effect for visual quality evaluation,
ICIP04(IV: 2311-2314).
IEEE DOI 0505
BibRef

Yang, F.Z.[Fu-Zheng], Wan, S.A.[Shu-Ai], Chang, Y.L.[Yi-Lin], Wu, H.R.[Hong Ren],
A novel objective no-reference metric for digital video quality assessment,
SPLetters(12), No. 10, October 2005, pp. 685-688.
IEEE DOI 0510
BibRef

Masry, M., Hemami, S.S., Sermadevi, Y.,
A scalable wavelet-based video distortion metric and applications,
CirSysVideo(16), No. 2, February 2006, pp. 260-273.
IEEE DOI 0604
See also Convex Programming Formulations for Rate Allocation in Video Coding. BibRef

Bordes, P.[Philippe], Guillotel, P.[Philippe],
Process, device and use for evaluating coded images,
US_Patent7,003,037, Feb 21, 2006
WWW Link. BibRef 0602

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Using Free Energy Principle For Blind Image Quality Assessment,
MultMed(17), No. 1, January 2015, pp. 50-63.
IEEE DOI 1502
Gaussian distribution See also Psychovisual Quality Metric in Free-Energy Principle, A. BibRef

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Lin, W.S.[Wei-Si], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Visual Saliency Detection With Free Energy Theory,
SPLetters(22), No. 10, October 2015, pp. 1552-1555.
IEEE DOI 1506
filtering theory 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

Mei, T., Hua, X.S., Zhu, C.Z., Zhou, H.Q., Li, S.,
Home Video Visual Quality Assessment With Spatiotemporal Factors,
CirSysVideo(17), No. 6, June 2007, pp. 699-706.
IEEE DOI 0706
BibRef

Chen, J.Y.C., Thropp, J.E.,
Review of Low Frame Rate Effects on Human Performance,
SMC-A(37), No. 6, November 2007, pp. 1063-1076.
IEEE DOI 0709
BibRef

Akcakaya, M., Tarokh, V.,
Performance of Sparse Representation Algorithms Using Randomly Generated Frames,
SPLetters(14), No. 11, November 2007, pp. 777-780.
IEEE DOI 0709
BibRef

Akcakaya, M., Tarokh, V.,
Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements,
SPLetters(22), No. 9, September 2015, pp. 1220-1223.
IEEE DOI 1503
compressed sensing BibRef

Wang, Z.[Zhou], Li, Q.A.[Qi-Ang],
Video quality assessment using a statistical model of human visual speed perception,
JOSA-A(24), No. 12, December 2007, pp. B61-B69.
WWW Link. 0801
BibRef

Irie, K.[Kazunari], McKinnon, A.E., Unsworth, K., Woodhead, I.M.,
A Technique for Evaluation of CCD Video-Camera Noise,
CirSysVideo(18), No. 2, February 2008, pp. 280-284.
IEEE DOI 0803
BibRef

Seshadrinathan, K.[Kalpana], Bovik, A.C.[Alan C.],
Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos,
IP(19), No. 2, February 2010, pp. 335-350.
IEEE DOI 1002
BibRef
Earlier:
Unifying Analysis of Full Reference Image Quality Assessment,
ICIP08(1200-1203).
IEEE DOI 0810
See also Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms, A. BibRef

Soundararajan, R., Bovik, A.C.,
Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing,
CirSysVideo(23), No. 4, April 2013, pp. 684-694.
IEEE DOI 1304
See also RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment. BibRef

Moorthy, A.K., Seshadrinathan, K., Soundararajan, R., Bovik, A.C.,
Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms,
CirSysVideo(20), No. 4, April 2010, pp. 587-599.
IEEE DOI 1003
BibRef

Moorthy, A.K., Bovik, A.C.,
Efficient Video Quality Assessment Along Temporal Trajectories,
CirSysVideo(20), No. 11, November 2010, pp. 1653-1658.
IEEE DOI 1011
BibRef

Seshadrinathan, K.[Kalpana], Soundararajan, R., Bovik, A.C.[Alan C.], Cormack, L.K.,
Study of Subjective and Objective Quality Assessment of Video,
IP(19), No. 6, June 2010, pp. 1427-1441.
IEEE DOI 1006
BibRef

Yim, C.H.[Chang-Hoon], Bovik, A.C.[Alan C.],
Evaluation of temporal variation of video quality in packet loss networks,
SP:IC(26), No. 1, January 2011, pp. 24-38.
Elsevier DOI 1101
Video communication; Wireless network; Channel error; Quality assessment; Quality variation BibRef

Lee, K.H.[Kwang-Hyun], Park, J.[Jincheol], Lee, S.H.[Sang-Hoon], Bovik, A.C.[Alan C.],
Temporal pooling of video quality estimates using perceptual motion models,
ICIP10(2493-2496).
IEEE DOI 1009
BibRef

Garcia, J.A., Rodriguez-Sanchez, R.[Rosa], Fdez-Valdivia, J., Martinez-Baena, J.,
Information visibility using transmission methods,
PRL(31), No. 7, 1 May 2010, pp. 609-618.
Elsevier DOI 1004
Computational attention; Transmission; Paradigm; Visual efficiency; Important information; Advertising BibRef

Hirai, K.[Keita], Tumurtogoo, J.[Jambal], Kikuchi, A.[Ayano], Tsumura, N.[Norimichi], Nakaguchi, T.[Toshiya], Miyake, Y.[Yoichi],
Video Quality Assessment Using Spatio-Velocity Contrast Sensitivity Function,
IEICE(E93-D), No. 5, May 2010, pp. 1253-1262.
WWW Link. 1006
BibRef

Garaj, V., Hunaiti, Z., Balachandran, W.,
Using Remote Vision: The Effects of Video Image Frame Rate on Visual Object Recognition Performance,
SMC-A(40), No. 4, July 2010, pp. 698-707.
IEEE DOI 1007
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

You, J.Y.[Jun-Yong], Perkis, A., Gabbouj, M.,
Improving image quality assessment with modeling visual attention,
EUVIP10(177-182).
IEEE DOI 1110
BibRef

Hemami, S.S.[Sheila S.], Reibman, A.R.[Amy R.],
No-reference image and video quality estimation: Applications and human-motivated design,
SP:IC(25), No. 7, August 2010, pp. 469-481.
Elsevier DOI 1008
No-reference; Video quality; Quality metrics; Quality estimator; Applications of quality metrics; Blind quality assessment BibRef

Reibman, A.R., Vaishampayan, V.,
Low-Complexity Quality Monitoring of MPEG-2 Video in a Network,
ICIP03(III: 261-264).
IEEE DOI 0312
BibRef

Apostolopoulos, J.G., Reibman, A.R.,
The Challenge of Estimating Video Quality in Video Communication Applications,
SPMag(28), No. 2, 2011, pp. 160-158.
IEEE DOI 1203
[In the Spotlight] BibRef

Winkler, S.[Stefan], Dufaux, F.[Frederic], Barba, D.[Dominique], Baroncini, V.[Vittorio],
Special issue on Image and Video Quality Assessment,
SP:IC(25), No. 7, August 2010, pp. 467-468.
Elsevier DOI 1008
BibRef

Le Meur, O., Ninassi, A., Le Callet, P.[Patrick], Barba, D.[Dominique],
Do video coding impairments disturb the visual attention deployment?,
SP:IC(25), No. 8, September 2010, pp. 597-609.
Elsevier DOI 1003
BibRef
Earlier: A2, A1, A3, A4:
Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric,
ICIP07(II: 169-172).
IEEE DOI 0709
Visual attention; Visual quality; Saliency; Video coding; H.264/AVC BibRef

Ivanovici, M.[Mihai], Richard, N.[Noël], Fernandez-Maloigne, C.[Christine],
Towards Video Quality Metrics Based on Colour Fractal Geometry,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1011
BibRef

Ivanovici, M., Richard, N.,
Fractal Dimension of Color Fractal Images,
IP(20), No. 1, January 2011, pp. 227-235.
IEEE DOI 1101
BibRef

Xia, T.[Tian], Mei, T.[Tao], Hua, G.[Gang], Zhang, Y.D.[Yong-Dong], Hua, X.S.[Xian-Sheng],
Visual quality assessment for web videos,
JVCIR(21), No. 8, November 2010, pp. 826-837.
Elsevier DOI 1011
Visual quality assessment; Web video; Non-reference; Domain specific 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

Yang, F.Z.[Fu-Zheng], Wan, S.A.[Shu-Ai], Xie, Q., Wu, H.R.,
No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream,
CirSysVideo(20), No. 11, November 2010, pp. 1544-1554.
IEEE DOI 1011
BibRef

Yang, F.Z.[Fu-Zheng], Wan, S.A.[Shu-Ai],
Spatial-temporal Video Quality Assessment Based On Two-level Temporal Pooling,
IJIG(11), No. 2, April 2011, pp. 235-249.
DOI Link 1107
See also Lagrange multiplier selection in wavelet-based scalable video coding for quality scalability. BibRef

Huang, S.C.,
An Advanced Motion Detection Algorithm With Video Quality Analysis for Video Surveillance Systems,
CirSysVideo(21), No. 1, January 2011, pp. 1-14.
IEEE DOI 1103
BibRef

Dosselmann, R.[Richard], Yang, X.D.[Xue Dong],
A comprehensive assessment of the structural similarity index,
SIViP(5), No. 1, March 2011, pp. 81-91.
WWW Link. 1103
BibRef
Earlier:
A Prototype No-Reference Video Quality System,
CRV07(411-417).
IEEE DOI 0705
BibRef

Culibrk, D., Mirkovic, M., Zlokolica, V., Pokric, M., Crnojevic, V., Kukolj, D.,
Salient Motion Features for Video Quality Assessment,
IP(20), No. 4, April 2011, pp. 948-958.
IEEE DOI 1103
BibRef

Voran, S.[Stephen], Catellier, A.[Andrew],
Gradient Ascent Subjective Multimedia Quality Testing,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1103
BibRef

Garcia, M.N., Schleicher, R., Raake, A.,
Impairment-Factor-Based Audiovisual Quality Model for IPTV: Influence of Video Resolution, Degradation Type, and Content Type,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1104
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

Deshpande, S.[Sachin], Daly, S.[Scott],
Quality of Experience for Large Ultra-High-Resolution Tiled Displays with Synchronization Mismatch,
JIVP(2011), No. 2011, pp. xx-yy.
DOI Link 1104
BibRef

Liu, H.[Haoting], Li, J.[Jie], Wang, Z.[Zheng], Cheng, J.[Jian], Lu, H.Q.[Han-Qing], Zhao, Y.[Yan],
Image Quality Feedback-based Adaptive Video Definition Improvement For The Space Manipulation Task,
IJIG(11), No. 2, April 2011, pp. 153-175.
DOI Link 1107
BibRef

Mu, M.[Mu], Mauthe, A.[Andreas], Haley, R.[Robert], Garcia, F.[Francisco],
Discrete quality assessment in IPTV content distribution networks,
SP:IC(26), No. 7, August 2011, pp. 339-357.
Elsevier DOI 1108
IPTV; Quality of experience; Quality assessment; Deep packet inspection BibRef

Lee, J.S.[Jong-Seok], De Simone, F., Ebrahimi, T.,
Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding,
MultMed(13), No. 5, 2011, pp. 882-893.
IEEE DOI 1110
BibRef

Lee, J.S.[Jong-Seok],
On Designing Paired Comparison Experiments for Subjective Multimedia Quality Assessment,
MultMed(16), No. 2, February 2014, pp. 564-571.
IEEE DOI 1404
least mean squares methods BibRef

Coverdale, P., Moller, S., Raake, A., Takahashi, A.,
Multimedia Quality Assessment Standards in ITU-T SG12,
SPMag(28), No. 1, 2011, pp. 91-97.
IEEE DOI 1112
BibRef

Porikli, F.M., Bovik, A.C., Plack, C., Al Regib, G.I., Farrell, J., Le Callet, P., Huynh-Thu, Q.[Quan], Moller, S., Winkler, S.,
Multimedia Quality Assessment,
SPMag(28), No. 1, 2011, pp. 164-177.
IEEE DOI 1112
[DSP Forum] 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

You, J.Y., Korhonen, J., Perkis, A., Ebrahimi, T.,
Balancing Attended and Global Stimuli in Perceived Video Quality Assessment,
MultMed(13), No. 6, 2011, pp. 1269-1285.
IEEE DOI 1112
BibRef

You, J.Y.[Jun-Yong], Ebrahimi, T., Perkis, A.,
Attention Driven Foveated Video Quality Assessment,
IP(23), No. 1, January 2014, pp. 200-213.
IEEE DOI 1402
image representation BibRef

Pinson, M.H., Ingram, W., Webster, A.,
Audiovisual Quality Components,
SPMag(28), No. 1, 2011, pp. 60-67.
IEEE DOI 1112
BibRef

Ebrahimi, T., Karam, L., Pereira, F., El-Maleh, K., Burnett, I.,
The Quality of Multimedia: Challenges and Trends,
SPMag(28), No. 1, 2011, pp. 17-18.
IEEE DOI 1112
From the Guest Editors- special intro. BibRef

Keimel, C., Rothbucher, M., Shen, H.[Hao], Diepold, K.,
Video is a Cube,
SPMag(28), No. 1, 2011, pp. 41-49.
IEEE DOI 1112
Quality of experience in multi-media. Consider the full 3-D data. 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

Liao, N.[Ning], Chen, Z.B.[Zhi-Bo],
A packet-layer video quality assessment model with spatiotemporal complexity estimation,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Lin, C., Chen, Z.B.[Zhi-Bo], Liao, N.[Ning],
Full-reference quality assessment for stereoscopic images based on binocular vision model,
VCIP16(1-4)
IEEE DOI 1701
Databases BibRef

Gong, H.F.[Hai-Feng], Zhu, S.C.[Song-Chun],
Intrackability: Characterizing Video Statistics and Pursuing Video Representations,
IJCV(97), No. 3, May 2012, pp. 255-275.
WWW Link. 1203
Measure video complexity to get better representation. (I.e. measure of how hard to track.) Relate to Shi-Tomasi texture and Harris-Stephens. See also Combined Corner and Edge Detector, A. See also integrated background model for video surveillance based on primal sketch and 3D scene geometry, An. BibRef

Scholler, S., Bosse, S., Treder, M.S., Blankertz, B., Curio, G., Muller, K.R., Wiegand, T.,
Toward a Direct Measure of Video Quality Perception Using EEG,
IP(21), No. 5, May 2012, pp. 2619-2629.
IEEE DOI 1204
BibRef

Xu, Q.Q., Huang, Q.M., Jiang, T., Yan, B., Lin, W., Yao, Y.,
HodgeRank on Random Graphs for Subjective Video Quality Assessment,
MultMed(14), No. 3, 2012, pp. 844-857.
IEEE DOI 1202
BibRef

Xu, Q.Q.[Qian-Qian], Xiong, J.C.[Jie-Chao], Huang, Q.M.[Qing-Ming], Yao, Y.[Yuan],
Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation,
MultMed(16), No. 2, February 2014, pp. 373-386.
IEEE DOI 1404
Internet BibRef

Wang, Y.[Yue], Jiang, T.T.[Ting-Ting], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Novel Spatio-Temporal Structural Information Based Video Quality Metric,
CirSysVideo(22), No. 7, July 2012, pp. 989-998.
IEEE DOI 1208
BibRef

Han, J.J.[Jing-Jing], Jiang, T.T.[Ting-Ting], Ma, S.W.[Si-Wei],
Stereoscopic video quality assessment model based on spatial-temporal structural information,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Menkovski, V.[Vlado], Liotta, A.[Antonio],
Adaptive psychometric scaling for video quality assessment,
SP:IC(27), No. 8, September 2012, pp. 788-799.
Elsevier DOI 1209
Psychometric quality scaling; Maximum likelihood difference scaling; Adaptive MLDS; Video quality assessment 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 Activity-Difference of DCT Coefficients,
IEICE(E96-D), No. 3, March 2013, pp. 708-718.
WWW Link. 1303
BibRef

da Silva, W.B.[Wyllian Bezerra], Fonseca, K.V.O.[Keiko Verônica Ono], Pohl, A.D.P.[Alexandre De_Almeida Prado],
Objective No-Reference Video Quality Assessment Method Based on Spatio-Temporal Pixel Analysis,
IEICE(E98-D), No. 7, July 2015, pp. 1325-1332.
WWW Link. 1508
BibRef

Romani, E.[Eduardo], da Silva, W.B.[Wyllian Bezerra], Fonseca, K.V.O.[Keiko Verônica Ono], Culibrk, D.[Dubravko], Pohl, A.D.P.[Alexandre De_Almeida Prado],
Full-Reference SSIM Metric for Video Quality Assessment with Saliency-Based Features,
QoEM15(547-554).
Springer DOI 1511
BibRef

Zhang, F.[Fan], Lin, W.S.[Wei-Si], Chen, Z.B.[Zhi-Bo], Ngan, K.N.[King Ngi],
Additive Log-Logistic Model for Networked Video Quality Assessment,
IP(22), No. 4, April 2013, pp. 1536-1547.
IEEE DOI 1303
BibRef

Oran, D.[David],
Technical Perspective: Video Quality Assessment in the Age of Internet Video,
CACM(56), No. 3, March 2013, pp. 90.
DOI Link 1304
With video delivery, it appears that once again "the Internet changes everything." In this changed environment, what measures of quality are most relevant, and how are they obtained from consumers BibRef

Dobrian, F.[Florin], Awan, A.[Asad], Joseph, D.[Dilip], Ganjam, A.[Aditya], Zhan, J.[Jibin], Sekar, V.[Vyas], Stoica, I.[Ion], Zhang, H.[Hui],
Understanding the Impact of Video Quality on User Engagement,
CACM(56), No. 3, March 2013, pp. 91-99.
DOI Link 1304
As Internet-based videos become mainstream, user expectation for high quality is constantly increasing. In this context, it is crucial for content providers to understand how video quality affects user engagement BibRef

De Silva, V., Arachchi, H.K., Ekmekcioglu, E., Kondoz, A.,
Toward an Impairment Metric for Stereoscopic Video: A Full-Reference Video Quality Metric to Assess Compressed Stereoscopic Video,
IP(22), No. 9, 2013, pp. 3392-3404.
IEEE DOI 1308
data compression BibRef

Leszczuk, M.[Mikolaj], Janowski, L.[Lucjan], Romaniak, P.[Piotr], Papir, Z.[Zdzislaw],
Assessing quality of experience for high definition video streaming under diverse packet loss patterns,
SP:IC(28), No. 8, 2013, pp. 903-916.
Elsevier DOI 1309
Objective evaluation techniques BibRef

Seyedebrahimi, M., Bailey, C., Peng, X.H.,
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

Satgunam, P.N., Woods, R.L., Bronstad, P.M., Peli, E.,
Factors Affecting Enhanced Video Quality Preferences,
IP(22), No. 12, 2013, pp. 5146-5157.
IEEE DOI 1312
BibRef
And: Erratum: IP(23), No. 1, January 2014, pp. 479-479.
IEEE DOI 1402
Biomedical imaging data compression BibRef

Yeh, H.H.[Hsin-Ho], Yang, C.Y.[Chun-Yu], Lee, M.S.[Ming-Sui], Chen, C.S.[Chu-Song],
Video Aesthetic Quality Assessment by Temporal Integration of Photo- and Motion-Based Features,
MultMed(15), No. 8, December 2013, pp. 1944-1957.
IEEE DOI 1402
feature extraction BibRef

Sedano, I.[Inigo], Brunnstrom, K.[Kjell], Kihl, M.[Maria], Aurelius, A.[Andreas],
Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring,
JIVP(2014), No. 1, 2014, pp. 4.
DOI Link 1402
BibRef

Yang, M., Sowmya, A.,
New Image Quality Evaluation Metric for Underwater Video,
SPLetters(21), No. 10, October 2014, pp. 1215-1219.
IEEE DOI 1407
Contrast metric BibRef

Yang, M., Sowmya, A.,
An Underwater Color Image Quality Evaluation Metric,
IP(24), No. 12, December 2015, pp. 6062-6071.
IEEE DOI 1512
Absorption BibRef

Shahid, M.[Muhammad], Rossholm, A.[Andreas], Lovstrom, B.[Benny], Zepernick, H.J.[Hans-Jurgen],
No-reference image and video quality assessment: A classification and review of recent approaches,
JIVP(2014), No. 1, 2014, pp. 40.
DOI Link 1408
BibRef

Peng, Q.A.[Qi-Ang], Zhang, L.[Lei], Wu, X.[Xiao], Wang, Q.H.[Qiong-Hua],
Modeling of SSIM-based end-to-end distortion for error-resilient video coding,
JIVP(2014), No. 1, 2014, pp. 45.
DOI Link 1410
BibRef

Xue, Y.Y.[Yuan-Yi], Erkin, B., Wang, Y.[Yao],
A Novel No-Reference Video Quality Metric for Evaluating Temporal Jerkiness due to Frame Freezing,
MultMed(17), No. 1, January 2015, pp. 134-139.
IEEE DOI 1502
video signal processing BibRef

Mantel, C., Bech, S., Korhonen, J., Forchhammer, S., Pedersen, J.M.,
Modeling the Subjective Quality of Highly Contrasted Videos Displayed on LCD With Local Backlight Dimming,
IP(24), No. 2, February 2015, pp. 573-582.
IEEE DOI 1502
image sequences BibRef

Mantel, C., Søgaard, J., Bech, S., Korhonen, J., Pedersen, J.M., Forchhammer, S.,
Modeling the Quality of Videos Displayed With Local Dimming Backlight at Different Peak White and Ambient Light Levels,
IP(25), No. 8, August 2016, pp. 3751-3761.
IEEE DOI 1608
Analysis of variance BibRef

Pinson, M.H., Janowski, L., Papir, Z.,
Video Quality Assessment: Subjective testing of entertainment scenes,
SPMag(32), No. 1, January 2015, pp. 101-114.
IEEE DOI 1502
video signal processing BibRef

Torkamani-Azar, F.[Farah], Imani, H.[Hassan], Fathollahian, H.[Hossein],
Video quality measurement based on 3-D Singular value decomposition,
JVCIR(27), No. 1, 2015, pp. 1-6.
Elsevier DOI 1502
Image Quality assessment 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

Narwaria, M.[Manish], Da Silva, M.P.[Matthieu Perreira], Le Callet, P.[Patrick],
HDR-VQM: An objective quality measure for high dynamic range video,
SP:IC(35), No. 1, 2015, pp. 46-60.
Elsevier DOI 1506
High dynamic range (HDR) video quality BibRef

Vigier, T., Da Silva, M.P.[Matthieu Perreira], Le Callet, P.[Patrick],
Impact of visual angle on attention deployment and robustness of visual saliency models in videos: From SD to UHD,
ICIP16(689-693)
IEEE DOI 1610
Computational modeling BibRef

Choi, L.K.[Lark Kwon], Cormack, L.K.[Lawrence K.], Bovik, A.C.[Alan C.],
Motion silencing of flicker distortions on naturalistic videos,
SP:IC(39, Part B), No. 1, 2015, pp. 328-341.
Elsevier DOI 1512
Motion silencing BibRef

Choi, L.K.[Lark Kwon], Bovik, A.C.[Alan C.],
Flicker sensitive motion tuned video quality assessment,
Southwest16(29-32)
IEEE DOI 1605
Band-pass filters 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

Tuohy, S.[Shane], Winterlich, A.[Anthony], McGinley, B.[Brian], Glavin, M.[Martin], Jones, E.[Edward], Denny, P.[Patrick], Kilmartin, L.[Liam],
Evaluating the influence of packet loss on visual quality of perception for high bandwidth automotive networks,
SP:IC(43), No. 1, 2016, pp. 15-27.
Elsevier DOI 1604
Packet loss BibRef

Manasa, K., Channappayya, S.S.[Sumohana S.],
An Optical Flow-Based Full Reference Video Quality Assessment Algorithm,
IP(25), No. 6, June 2016, pp. 2480-2492.
IEEE DOI 1605
BibRef
Earlier:
An optical flow-based no-reference video quality assessment algorithm,
ICIP16(2400-2404)
IEEE DOI 1610
Databases eigenvalues and eigenfunctions BibRef

Li, Y., Po, L.M., Cheung, C.H., Xu, X., Feng, L., Yuan, F., Cheung, K.W.,
No-Reference Video Quality Assessment With 3D Shearlet Transform and Convolutional Neural Networks,
CirSysVideo(26), No. 6, June 2016, pp. 1044-1057.
IEEE DOI 1606
Convolution BibRef

Chen, Z., Liao, N., Gu, X., Wu, F., Shi, G.,
Hybrid Distortion Ranking Tuned Bitstream-Layer Video Quality Assessment,
CirSysVideo(26), No. 6, June 2016, pp. 1029-1043.
IEEE DOI 1606
Degradation BibRef

Li, X., Guo, Q., Lu, X.,
Spatiotemporal Statistics for Video Quality Assessment,
IP(25), No. 7, July 2016, pp. 3329-3342.
IEEE DOI 1606
Distortion BibRef

Scott, M.J., Guntuku, S.C., Lin, W., Ghinea, G.,
Do Personality and Culture Influence Perceived Video Quality and Enjoyment?,
MultMed(18), No. 9, September 2016, pp. 1796-1807.
IEEE DOI 1609
cultural aspects 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

Mercer Moss, F.[Felix], Wang, K., Zhang, F.[Fan], Baddeley, R.[Roland], Bull, D.R.[David R.],
On the Optimal Presentation Duration for Subjective Video Quality Assessment,
CirSysVideo(26), No. 11, November 2016, pp. 1977-1987.
IEEE DOI 1609
Context BibRef

Mercer Moss, F.[Felix], Yeh, C.T.[Chun-Ting], Zhang, F.[Fan], Baddeley, R.[Roland], Bull, D.R.[David R.],
Support for reduced presentation durations in subjective video quality assessment,
SP:IC(48), No. 1, 2016, pp. 38-49.
Elsevier DOI 1609
Subjective testing 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

Podder, P.K.[Pallab Kanti], Paul, M.[Manoranjan], Murshed, M.[Manzur],
QMET: A new quality assessment metric for no-reference video coding by using human eye traversal,
ICVNZ16(1-6)
IEEE DOI 1701
Correlation BibRef

Guo, J.F.[Jie-Feng], Hu, G.[Gong], Xu, W.J.[Wei-Jian], Huang, L.F.[Lian-Fen],
Hierarchical content importance-based video quality assessment for HEVC encoded videos transmitted over LTE networks,
JVCIR(43), No. 1, 2017, pp. 50-60.
Elsevier DOI 1702
Content type BibRef

Zhang, W., Liu, H.,
Study of Saliency in Objective Video Quality Assessment,
IP(26), No. 3, March 2017, pp. 1275-1288.
IEEE DOI 1703
distortion BibRef

Song, J., Yang, F., Zhou, Y., Gao, S.,
Parametric Planning Model for Video Quality Evaluation of IPTV Services Combining Channel and Video Characteristics,
MultMed(19), No. 5, May 2017, pp. 1015-1029.
IEEE DOI 1704
Distortion BibRef

Vega, M.T., Mocanu, D.C., Famaey, J., Stavrou, S., Liotta, A.,
Deep Learning for Quality Assessment in Live Video Streaming,
SPLetters(24), No. 6, June 2017, pp. 736-740.
IEEE DOI 1705
unsupervised learning, video signal processing, video streaming, FR benchmark, LIMP Video Quality Database, extensive packet loss impaired video set, inexpensive no-reference measurements, offline deep unsupervised learning processes, online analysis, quality assessment methods, real-time analysis, real-time assessment, video assessment method, video content providers, video quality metric, Feature extraction, Machine learning, Measurement, Quality assessment, Real-time systems, Streaming media, Video recording, Deep learning (DL), multimedia video services, unsupervised learning (UL), video, quality, assessment BibRef

Peng, P.[Peng], Liao, D.P.[Dan-Ping], Li, Z.N.[Ze-Nian],
An efficient temporal distortion measure of videos based on spacetime texture,
PR(70), No. 1, 2017, pp. 1-11.
Elsevier DOI 1706
Video, quality, assessment BibRef

Wang, H.Q.[Hai-Qiang], Katsavounidis, I.[Ioannis], Zhou, J.T.[Jian-Tong], Park, J.[Jeonghoon], Lei, S.[Shawmin], Zhou, X.[Xin], Pun, M.O.[Man-On], Jin, X.[Xin], Wang, R.G.[Rong-Gang], Wang, X.[Xu], Zhang, Y.[Yun], Huang, J.W.[Ji-Wu], Kwong, S.[Sam], Kuo, C.C.J.[C.C. Jay],
VideoSet: A large-scale compressed video quality dataset based on JND measurement,
JVCIR(46), No. 1, 2017, pp. 292-302.
Elsevier DOI 1706
Human visual system (HVS) BibRef

Al-Naji, A.[Ali], Lee, S.H.[Sang-Heon], Chahl, J.[Javaan],
Quality index evaluation of videos based on fuzzy interface system,
IET-IPR(11), No. 5, April 2017, pp. 292-300.
DOI Link 1706
BibRef

Sun, Y., Lu, A., Yu, L.,
Weighted-to-Spherically-Uniform Quality Evaluation for Omnidirectional Video,
SPLetters(24), No. 9, September 2017, pp. 1408-1412.
IEEE DOI 1708
Distortion, Distortion measurement, Extraterrestrial measurements, Measurement uncertainty, Two dimensional displays, Weight measurement, Objective quality evaluation, omnidirectional video, projection format 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


Duan, H., Zhai, G., Yang, X., Li, D., Zhu, W.,
IVQAD 2017: An immersive video quality assessment database,
WSSIP17(1-5)
IEEE DOI 1707
Bit rate, Cameras, Databases, Quality assessment, Video recording, Virtual reality, Visual systems, Immersive video, database, quality assessment, virtual, reality BibRef

Bolecek, L., Kufa, J., Kaucarik, F., Ricny, V.,
3D video database with known parametrs,
WSSIP17(1-5)
IEEE DOI 1707
Brightness, Databases, Silicon, Three-dimensional displays, Video sequences, Visualization, content, database, quality of experience, stereo, subjective, test BibRef

Yang, K., Wan, S., Wu, H.R., Lin, W., Tan, D., Gong, Y., Xie, L.,
Detection and estimation of supra-threshold distortion levels of pictures based on just-noticeable difference,
VCIP16(1-4)
IEEE DOI 1701
Bit rate BibRef

Lin, Q.Z.[Qiao-Zhou], Jung, C.K.[Cheol-Kon], Yu, S.T.[Sheng-Tao],
Backward compatible opto-electrical transfer function for HDR video coding based on rational quantization,
VCIP16(1-4)
IEEE DOI 1701
Distortion BibRef

Liu, D.W.[Dong-Wei], Klette, R.,
Sharpness and contrast measures on videos,
ICVNZ15(1-6)
IEEE DOI 1701
computer graphics BibRef

Mantiuk, R.K.,
Practicalities of predicting quality of high dynamic range images and video,
ICIP16(904-908)
IEEE DOI 1610
Brightness BibRef

Kim, H.G., Ro, Y.M.,
Measurement of critical temporal inconsistency for quality assessment of synthesized video,
ICIP16(1027-1031)
IEEE DOI 1610
Distortion BibRef

Polok, L.[Lukas], Klicnar, L.[Lukas], Beran, V.[Vitezslav], Smrz, P.[Pavel], Zemcik, P.[Pavel],
Quality assurance in large collections of video sequences,
ICIP15(3580-3584)
IEEE DOI 1512
automatic quality assurance; large video databases; time synchronization BibRef

Wang, M.M.[Meng-Meng], Zhang, F.[Fan], Agrafiotis, D.[Dimitris],
A very low complexity reduced reference video quality metric based on spatio-temporal information selection,
ICIP15(571-575)
IEEE DOI 1512
Video quality assessment BibRef

Talens-Noguera, J.V.[Juan V.], Zhang, W.[Wei], Liu, H.T.[Han-Tao],
Studying human behavioural responses to time-varying distortions for video quality assessment,
ICIP15(651-655)
IEEE DOI 1512
Video quality assessment BibRef

Mirkovic, M.[Milan], Culibrk, D.[Dubravko], Sladojevic, S.[Srdjan], Anderla, A.[Andras],
Video Quality Assessment for Mobile Devices on Mobile Devices,
QoEM15(555-562).
Springer DOI 1511
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

Zhu, K.F.[Kong-Feng], Barkowsky, M.[Marcus], Shen, M.[Minmin], Le Callet, P.[Patrick], Saupe, D.[Dietmar],
Optimizing feature pooling and prediction models of VQA algorithms,
ICIP14(541-545)
IEEE DOI 1502
Databases BibRef

Mittal, A.[Anish], Saad, M.[Michele], Bovik, A.C.[Alan C.],
Assessment of video naturalness using time-frequency statistics,
ICIP14(571-574)
IEEE DOI 1502
Computational modeling BibRef

Yeganeh, H.[Hojatollah], Kordasiewicz, R.[Roman], Gallant, M.[Michael], Ghadiyaram, D.[Deepti], Bovik, A.C.[Alan C.],
Delivery quality score model for Internet video,
ICIP14(2007-2011)
IEEE DOI 1502
Delays BibRef

Irvine, J.M., Wood, R.J., Reed, D., Lepanto, J.,
Video image quality analysis for enhancing tracker performance,
AIPR13(1-9)
IEEE DOI 1408
object tracking 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

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

Besson, A.[Adrien], De Simone, F.[Francesca], Ebrahimi, T.[Touradj],
Objective quality metrics for video scalability,
ICIP13(59-63)
IEEE DOI 1402
Measurement BibRef

Stapenhurst, R.[Robert], Lu, J.[Jinyun], Agrafiotis, D.[Dimitris],
Performance evaluation of objective video quality metrics on mixed spatiotemporal resolution content,
ICIP13(64-68)
IEEE DOI 1402
Measurement BibRef

McLaughlin, L.[Linda], Hemami, S.S.[Sheila S.],
Reduced-reference quality assessment with scalable overhead for video with packet loss,
ICIP13(1622-1626)
IEEE DOI 1402
H.264 BibRef

Zeng, K.[Kai], Wang, Z.[Zhou],
3D-SSIM for video quality assessment,
ICIP12(621-624).
IEEE DOI 1302
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

Ukhanova, A.[Anna], Korhonen, J.[Jari], Forchhammer, S.[Soren],
Objective assessment of the impact of frame rate on video quality,
ICIP12(1513-1516).
IEEE DOI 1302
BibRef

You, J.[Junyong], Ebrahimi, T.[Touradj], Perkis, A.[Andrew],
Video quality metric based on fixation prediction and foveal imaging,
ICIP12(1509-1512).
IEEE DOI 1302
BibRef

Chen, J.W.[Jian-Wen], Xu, F.[Feng], Zhu, H.[Hao], Mo, Y.J.[Yi-Jun],
An adaptive visual quality optimization method for Internet video applications,
VCIP12(1-6).
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

Chen, M.J.[Ming-Jun], Kwon, D.K.[Do-Kyoung], Bovik, A.C.[Alan C.],
Study of subject agreement on stereoscopic video quality,
Southwest12(173-176).
IEEE DOI 1205
BibRef

Park, J.[Jincheol], Seshadrinathan, K.[Kalpana], Lee, S.H.[Sang-Hoon], Bovik, A.C.[Alan C.],
Spatio-temporal quality pooling accounting for transient severe impairments and egomotion,
ICIP11(2509-2512).
IEEE DOI 1201
Not just one frame. BibRef

Vu, P.V.[Phong V.], Vu, C.T.[Cuong T.], Chandler, D.M.[Damon M.],
A spatiotemporal most-apparent-distortion model for video quality assessment,
ICIP11(2505-2508).
IEEE DOI 1201
BibRef

You, J.Y.[Jun-Yong], Korhonen, J.[Jari], Reiter, U.[Ulrich],
Audiovisual quality fusion based on relative multimodal complexity,
ICIP11(3337-3340).
IEEE DOI 1201
BibRef

Sugimoto, O.[Osamu], Naito, S.[Sei],
No reference metric of video coding quality based on parametric analysis of video bitstream,
ICIP11(3333-3336).
IEEE DOI 1201
BibRef

Horch, C.[Clemens], Keimel, C.[Christian], Habigt, J.[Julian], Diepold, K.[Klaus],
Length-independent refinement of video quality metrics based on multiway data analysis,
ICIP13(44-48)
IEEE DOI 1402
Feature extraction BibRef

Birklbauer, C.[Clemens], Grosse, M.[Max], Grundhöfer, A.[Anselm], Liu, T.L.[Tian-Lun], Bimber, O.[Oliver],
Display Pixel Caching,
ISVC11(I: 66-77).
Springer DOI 1109
for TV, user evaluations. BibRef

de Silva, D.V.S.X., Fernando, W.A.C., Worrall, S.T., Kondoz, A.M.,
A novel depth map quality metric and its usage in depth map coding,
3DTV11(1-4).
IEEE DOI 1105
BibRef

You, J.Y.[Jun-Yong], Hannuksela, M.M.[Miska M.], Gabbouj, M.[Moncef],
An objective video quality metric based on spatiotemporal distortion,
ICIP09(2229-2232).
IEEE DOI 0911
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

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

Irvine, J.M., Fenimore, C., Cannon, D., Roberts, J., Israel, S.A., Simon, L., Watts, C., Miller, J.D., Brennan, M., Aviles, A.I., Tighe, P.F., Behrens, R.J.,
Feasibility study for the development of a motion imagery quality metric,
AIPR04(179-183).
IEEE DOI 0410
BibRef

Punchihewa, A., Armstrong, J.,
Effects of sub-sampling and quantisation on colour bleeding due to image and video compression,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Gustafsson, J.[Jorgen], Heikkila, G.[Gunnar], Pettersson, M.[Martin],
Measuring multimedia quality in mobile networks with an objective parametric model,
ICIP08(405-408).
IEEE DOI 0810
BibRef

Duplaga, M.[Mariusz], Leszczuk, M.[Mikolaj], Papir, Z.[Zdzislaw], Przelaskowski, A.[Artur],
Evaluation of Quality Retaining Diagnostic Credibility for Surgery Video Recordings,
Visual08(xx-yy).
Springer DOI 0809
BibRef

Schallauer, P.[Peter], Bailer, W.[Werner], Morzinger, R.[Roland], Furntratt, H.[Hermann], Thallinger, G.[Georg],
Automatic Quality Analysis for Film and Video Restoration,
ICIP07(IV: 9-12).
IEEE DOI 0709
BibRef

Ndjiki-Nya, P.[Patrick], Barrado, M.[Mikel], Wiegand, T.[Thomas],
Efficient Full-Reference Assessment of Image and Video Quality,
ICIP07(II: 125-128).
IEEE DOI 0709
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

Feghali, R., Wang, D., Speranza, F., Vincent, A.,
Quality Metric for Video Sequences with Temporal Scalability,
ICIP05(III: 137-140).
IEEE DOI 0512
BibRef

Zhong, Y.[Ying], Richardson, I.E.[Iain E.], Sahraie, A.[Arash], McGeorge, P.[Peter],
Influence of Task and Scene Content on Subjective Video Quality,
ICIAR04(I: 295-301).
Springer DOI 0409
BibRef

Kim, K.N.[Kyung-Nam], Davis, L.S.,
A fine-structure image/video quality measure using local statistics,
ICIP04(V: 3535-3538).
IEEE DOI 0505
BibRef

Ojansivu, V., Silven, O., Huotari, R.,
A technique for digital video quality evaluation,
ICIP03(III: 181-184).
IEEE DOI 0312
BibRef

Watson, A.B., Malo, J.,
Video quality measures based on the standard spatial observer,
ICIP02(III: 41-44).
IEEE DOI 0210
BibRef

Moore, M.S., Mitra, S.K., Foley, J.M.,
Defect visibility and content importance implications for the design of an objective video fidelity metric,
ICIP02(III: 45-48).
IEEE DOI 0210
BibRef

Celidonio, M.[Massimo], Santella, G.[Giovanni],
On the Correlation between Transmission Quality-of-Service (QoS) Parameters and Image Quality of Digitally Transmitted Video in Radio Terrestrial Broadcasting,
ICIP96(III: 327-330).
IEEE DOI BibRef 9600

Osberger, W., Maeder, A.J., McLean, D.,
An objective quality assessment technique for digital image sequences,
ICIP96(I: 897-900).
IEEE DOI 9610
BibRef

Cotton, B.,
A two-stage objective model for video quality evaluation,
ICIP96(I: 893-896).
IEEE DOI 9610
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Video Quality for Stereo, 3D Video .


Last update:Sep 25, 2017 at 16:36:46