5.3.10.4 Screen Content Image Quality Evaluation

Chapter Contents (Back)
Image Quality. Screen Content. Includes some related to compression of screen content images.

Yang, H.[Huan], Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si],
Perceptual Quality Assessment of Screen Content Images,
IP(24), No. 11, November 2015, pp. 4408-4421.
IEEE DOI 1509
image processing
See also Saliency-Guided Quality Assessment of Screen Content Images. BibRef

Fang, Y.M.[Yu-Ming], Yan, J.B.[Jie-Bin], Li, L.D.[Lei-Da], Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si],
No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation,
IP(27), No. 4, April 2018, pp. 1600-1610.
IEEE DOI 1802
feature extraction, gradient methods, image representation, image texture, regression analysis, support vector machines, HVS, visual quality assessment BibRef

Li, Q.H.[Qiao-Hong], Lin, W.S.[Wei-Si], Fang, Y.M.[Yu-Ming], Zhang, X.F.[Xin-Feng], Zhang, Y.B.[Ya-Bin],
No-Reference Image Quality Assessment Based on Local Region Statistics,
VCIP16(1-4)
IEEE DOI 1701
Databases
See also Multiple-Level Feature-Based Measure for Retargeted Image Quality. BibRef

Wang, S.Q.[Shi-Qi], Gu, K.[Ke], Zeng, K.[Kai], Wang, Z.[Zhou], Lin, W.S.[Wei-Si],
Perceptual Screen Content Image Quality Assessment and Compression,
ICIP15(1434-1438)
IEEE DOI 1512
Information Content BibRef

Chen, B.L.[Bao-Liang], Li, H.L.[Hao-Liang], Fan, H.F.[Hong-Fei], Wang, S.Q.[Shi-Qi],
No-Reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation,
IP(30), 2021, pp. 5463-5476.
IEEE DOI 2106
Nickel, Feature extraction, Predictive models, Image quality, Databases, Training, Task analysis, Screen content images, natural images BibRef

Wang, S.Q.[Shi-Qi], Gu, K.[Ke], Zhang, X.F.[Xin-Feng], Lin, W.S.[Wei-Si], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Reduced-Reference Quality Assessment of Screen Content Images,
CirSysVideo(28), No. 1, January 2018, pp. 1-14.
IEEE DOI 1801
Feature extraction, Image edge detection, Image quality, Prediction algorithms, Quality assessment, Uncertainty, screen content images (SCIs)
See also Objective Quality Assessment of Screen Content Images by Uncertainty Weighting. BibRef

Han, Z.X.[Zong-Xi], Zhai, G.T.[Guang-Tao], Liu, Y.T.[Yu-Tao], Gu, K.[Ke], Zhang, X.F.[Xin-Feng],
A Reduced-Reference Quality Assessment Scheme for Blurred Images,
VCIP16(1-4)
IEEE DOI 1701
Brain modeling BibRef

Che, Z.H.[Zhao-Hui], Zhai, G.T.[Guang-Tao], Gu, K.[Ke], Le Callet, P.[Patrick],
Reduced-reference quality metric for screen content image,
ICIP17(1852-1856)
IEEE DOI 1803
Brain modeling, Distortion, Image color analysis, Image edge detection, Indexes, Mathematical model, Measurement, IQA, free energy BibRef

Gu, K., Wang, S., Zhai, G., Ma, S., Yang, X., Lin, W., Zhang, W., Gao, W.,
Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure,
MultMed(18), No. 3, March 2016, pp. 432-443.
IEEE DOI 1603
Brightness BibRef

Gu, K., Lin, W., Zhai, G., Yang, X., Zhang, W., Chen, C.W.,
No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization,
Cyber(47), No. 12, December 2017, pp. 4559-4565.
IEEE DOI 1712
Brain modeling, Entropy, Histograms, Image quality, Measurement, Predictive models, Visualization, Contrast distortion, saliency BibRef

Min, X., Ma, K., Gu, K., Zhai, G., Wang, Z., Lin, W.,
Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images,
IP(26), No. 11, November 2017, pp. 5462-5474.
IEEE DOI 1709
Databases, Distortion, Graphics, Image coding, Quality assessment, Transform coding, Video coding, Natural scene image, computer graphic image, high efficiency video coding (HEVC), image quality assessment, screen content compression (SCC), screen, content, image BibRef

Gu, K., Zhou, J., Qiao, J.F., Zhai, G., Lin, W.S.[Wei-Si], Bovik, A.C.,
No-Reference Quality Assessment of Screen Content Pictures,
IP(26), No. 8, August 2017, pp. 4005-4018.
IEEE DOI 1707
image colour analysis, natural scenes, regression analysis, blind picture quality assessment algorithm, blind-NR model, BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Fang, Y.M.[Yu-Ming], Li, L.D.[Lei-Da], Shi, G.M.[Guang-Ming], Niwas S, I.[Issac],
Visual Structural Degradation Based Reduced-Reference Image Quality Assessment,
SP:IC(47), No. 1, 2016, pp. 16-27.
Elsevier DOI 1610
Reduced-reference
See also No-Reference Document Image Quality Assessment Based on High Order Image Statistics.
See also Multiple-Level Feature-Based Measure for Retargeted Image Quality. BibRef

Si, J.W.[Jian-Wei], Huang, B.X.[Bao-Xiang], Yang, H.[Huan], Lin, W.S.[Wei-Si], Pan, Z.K.[Zhen-Kuan],
A no-Reference Stereoscopic Image Quality Assessment Network Based on Binocular Interaction and Fusion Mechanisms,
IP(31), 2022, pp. 3066-3080.
IEEE DOI 2205
Visualization, Feature extraction, Stereo image processing, Image quality, Convolution, binocular fusion BibRef

Wang, X.Q.[Xiao-Qi], Xiong, J.[Jian], Lin, W.S.[Wei-Si],
Visual Interaction Perceptual Network for Blind Image Quality Assessment,
MultMed(25), 2023, pp. 8958-8971.
IEEE DOI 2312
BibRef

Pan, Z.Q.[Zhao-Qing], Yuan, F.[Feng], Lei, J.J.[Jian-Jun], Fang, Y.M.[Yu-Ming], Shao, X.[Xiao], Kwong, S.[Sam],
VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment,
IP(31), 2022, pp. 1613-1627.
IEEE DOI 2202
Image restoration, Visualization, Image quality, Task analysis, Feature extraction, Training, Distortion, multi-level features BibRef

Gu, K.[Ke], Wang, S.Q.[Shi-Qi], Yang, H.[Huan], Lin, W.S.[Wei-Si], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Saliency-Guided Quality Assessment of Screen Content Images,
MultMed(18), No. 6, June 2016, pp. 1098-1110.
IEEE DOI 1605
Convolution
See also Perceptual Quality Assessment of Screen Content Images. BibRef

Tang, L.J.[Li-Juan], Li, L.[Leida], Gu, K.[Ke], Sun, X.M.[Xing-Ming], Zhang, J.Y.[Jian-Ying],
Blind Quality Index for Camera Images with Natural Scene Statistics and Patch-Based Sharpness Assessment,
JVCIR(40, Part A), No. 1, 2016, pp. 335-344.
Elsevier DOI 1609
Image quality assessment (IQA)
See also Sparse Representation-Based Image Quality Index With Adaptive Sub-Dictionaries. BibRef

Liu, Y.T.[Yu-Tao], Zhai, G.T.[Guang-Tao], Gu, K.[Ke], Liu, X.M.[Xian-Ming], Zhao, D.B.[De-Bin], Gao, W.[Wen],
Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation,
MultMed(20), No. 2, February 2018, pp. 379-391.
IEEE DOI 1801
Brain modeling, Distortion measurement, Feature extraction, Image quality, Indexes, Visualization, Free-energy principle, visual saliency
See also Using Free Energy Principle For Blind Image Quality Assessment. BibRef

Wan, Z.L.[Zhao-Lin], Gu, K.[Ke], Zhao, D.B.[De-Bin],
Reduced Reference Stereoscopic Image Quality Assessment Using Sparse Representation and Natural Scene Statistics,
MultMed(22), No. 8, August 2020, pp. 2024-2037.
IEEE DOI 2007
Visualization, Stereo image processing, Measurement, Visual perception, Distortion, Image quality, visual primitives BibRef

Fang, Y.M.[Yu-Ming], Yan, J.B.[Jie-Bin], Liu, J.Y.[Jia-Ying], Wang, S.Q.[Shi-Qi], Li, Q.H.[Qiao-Hong], Guo, Z.M.[Zong-Ming],
Objective Quality Assessment of Screen Content Images by Uncertainty Weighting,
IP(26), No. 4, April 2017, pp. 2016-2027.
IEEE DOI 1704
Distortion
See also Saliency-Guided Quality Assessment of Screen Content Images. BibRef

Zhou, Y.[Yu], Li, L.[Leida], Zhu, H.C.[Han-Cheng], Liu, H.T.[Han-Tao], Wang, S.Q.[Shi-Qi], Zhao, Y.[Yao],
No-Reference Quality Assessment for Contrast-Distorted Images Based on Multifaceted Statistical Representation of Structure,
JVCIR(60), 2019, pp. 158-169.
Elsevier DOI 1903
Quality assessment, No-reference, Contrast-distorted images, Structure representation, Back propagation (BP) BibRef

Wang, S., Gu, K., Ma, S., Gao, W.,
Joint Chroma Downsampling and Upsampling for Screen Content Image,
CirSysVideo(26), No. 9, September 2016, pp. 1595-1609.
IEEE DOI 1609
Color BibRef

Ni, Z., Ma, L., Zeng, H., Cai, C., Ma, K.K.,
Gradient Direction for Screen Content Image Quality Assessment,
SPLetters(23), No. 10, October 2016, pp. 1394-1398.
IEEE DOI 1610
BibRef
And:
Screen content image quality assessment using edge model,
ICIP16(81-85)
IEEE DOI 1610
Computational modeling. feature extraction BibRef

Fu, Y., Zeng, H., Ma, L., Ni, Z., Zhu, J., Ma, K.K.,
Screen Content Image Quality Assessment Using Multi-Scale Difference of Gaussian,
CirSysVideo(28), No. 9, September 2018, pp. 2428-2432.
IEEE DOI 1809
Image edge detection, Image quality, Quality assessment, Distortion measurement, Numerical analysis, Nickel, multi-scale difference of Gaussian BibRef

Ni, Z., Ma, L., Zeng, H., Chen, J., Cai, C., Ma, K.K.,
ESIM: Edge Similarity for Screen Content Image Quality Assessment,
IP(26), No. 10, October 2017, pp. 4818-4831.
IEEE DOI 1708
edge detection, feature extraction, visual databases, ESIM, HVS, IQA, SCI, SCI database, edge contrast, edge direction, edge features, edge similarity, edge width, full reference image quality assessment, human visual system, BibRef

Ni, Z.K.[Zhang-Kai], Zeng, H.Q.[Huan-Qiang], Ma, L.[Lin], Hou, J.H.[Jun-Hui], Chen, J.[Jing], Ma, K.K.[Kai-Kuang],
A Gabor Feature-Based Quality Assessment Model for the Screen Content Images,
IP(27), No. 9, September 2018, pp. 4516-4528.
IEEE DOI 1807
Gabor filters, computational complexity, distortion, edge detection, feature extraction, image classification, screen content images (SCIs) BibRef

Ding, R.[Rui], Zeng, H.Q.[Huan-Qiang], Wen, H.[Hao], Huang, H.L.[Hai-Liang], Cheng, S.[Shan], Hou, J.H.[Jun-Hui],
Screen content video quality assessment based on spatiotemporal sparse feature,
JVCIR(96), 2023, pp. 103912.
Elsevier DOI 2310
Screen content video, Spatiotemporal sparse feature, Three dimensional Difference of Gaussian, Dictionary learning BibRef

Zeng, H.Q.[Huan-Qiang], Huang, H.L.[Hai-Liang], Hou, J.H.[Jun-Hui], Cao, J.[Jiuwen], Wang, Y.T.[Yong-Tao], Ma, K.K.[Kai-Kuang],
Screen Content Video Quality Assessment Model Using Hybrid Spatiotemporal Features,
IP(31), 2022, pp. 6175-6187.
IEEE DOI 2210
Feature extraction, Spatiotemporal phenomena, Visualization, Quality assessment, Degradation, Video recording, local video activity BibRef

Guo, H.[Heng], Ma, K.K.[Kai-Kuang], Zeng, H.Q.[Huan-Qiang],
A Log-Gabor Feature-Based Quality Assessment Model for Screen Content Images,
ICIP19(4499-4503)
IEEE DOI 1910
Image Quality Assessment, Screen Content Images, Gabor features, log-Gabor BibRef

Zhang, X., Lin, W., Wang, S., Liu, J., Ma, S., Gao, W.,
Fine-Grained Quality Assessment for Compressed Images,
IP(28), No. 3, March 2019, pp. 1163-1175.
IEEE DOI 1812
data compression, image coding, visual databases, optimization methods, JPEG optimization methods, fine-grained distortion levels BibRef

Tang, L.J.[Li-Juan], Sun, K.[Kezheng], Liu, L.P.[Lu-Ping], Wang, G.C.[Guang-Cheng], Liu, Y.T.[Yu-Tao],
A Reduced-Reference Quality Assessment Metric for Super-Resolution Reconstructed Images with Information Gain and Texture Similarity,
SP:IC(79), 2019, pp. 32-39.
Elsevier DOI 1911
Image quality assessment, Super-resolution reconstruction, Information gain, Texture similarity BibRef

Kang, J.W., Ryu, S.K., Kim, N.Y., Kang, M.J.,
Efficient Residual DPCM Using an L_1 Robust Linear Prediction in Screen Content Video Coding,
MultMed(18), No. 10, October 2016, pp. 2054-2065.
IEEE DOI 1610
differential pulse code modulation BibRef

Kim, N.Y.[Na-Young], Kang, J.W.[Je-Won],
Long-Term Video Generation with Evolving Residual Video Frames,
ICIP18(3578-3582)
IEEE DOI 1809
Prediction algorithms, Decoding, Feature extraction, Machine learning, Spatiotemporal phenomena, unsupervised learning BibRef

Ryu, S.K.[Soo-Kyung], Kang, J.W.[Je-Won],
Machine Learning-Based Fast Angular Prediction Mode Decision Technique in Video Coding,
IP(27), No. 11, November 2018, pp. 5525-5538.
IEEE DOI 1809
code standards, decision trees, learning (artificial intelligence), trees (mathematics), joint exploration model (JEM) BibRef

Xiao, W., Li, B., Xu, J., Shi, G., Wu, F.,
Weighted Rate-Distortion Optimization for Screen Content Coding,
CirSysVideo(28), No. 2, February 2018, pp. 499-512.
IEEE DOI 1802
BibRef
Earlier:
Weighted rate-distortion optimization for screen content intra coding,
VCIP15(1-4)
IEEE DOI 1605
Color, Complexity theory, Distortion, Encoding, Optimization, Rate-distortion, Video coding, Distortion weight, screen content coding (SCC). BibRef

Xiao, J., Li, B., Sun, S., Xu, J.,
Rate control with delay constraint for screen content coding,
VCIP17(1-4)
IEEE DOI 1804
video coding, SCC, abrupt changes, accurate rate control accuracy, adjacent frames, delay constraint condition, gain 3.10 dB, rate control BibRef

Li, J., Li, B., Xu, J., Xiong, R.,
Diversity-Based Reference Picture Management for Low Delay Screen Content Coding,
CirSysVideo(28), No. 6, June 2018, pp. 1369-1378.
IEEE DOI 1806
Bit rate, Color, Computational modeling, Delays, Encoding, Motion estimation, Video coding, Diversity, screen content coding BibRef

Guo, Y., Li, B., Sun, S., Xu, J.,
Rate control for screen content coding based on picture classification,
VCIP15(1-4)
IEEE DOI 1605
Algorithm design and analysis BibRef

Yang, H.[Hao], Shen, L.Q.[Li-Quan], An, P.[Ping],
Efficient screen content intra coding based on statistical learning,
SP:IC(62), 2018, pp. 74-81.
Elsevier DOI 1802
BibRef
Earlier:
An efficient intra coding algorithm based on statistical learning for screen content coding,
ICIP17(2468-2472)
IEEE DOI 1803
Screen content coding, Intra prediction, Fast algorithm, Statistical learning. Complexity theory, Decision trees, Encoding, Feature extraction, Image color analysis, Partitioning algorithms, Tools, Screen Content Coding BibRef

Lu, Y.[Yu], Liu, H.P.[Hua-Ping], Lin, Y.M.[Ya-Meng], Shen, L.Q.[Li-Quan], Yin, H.B.[Hai-Bing],
Efficient coding mode and partition decision for screen content intra coding,
SP:IC(68), 2018, pp. 249-257.
Elsevier DOI 1810
Screen content video, High efficiency video coding, Efficient intra coding, CU partition, Mode decision BibRef

Zhou, W., Yu, L., Zhou, Y., Qiu, W., Wu, M.W., Luo, T.,
Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images,
IP(27), No. 5, May 2018, pp. 2086-2095.
IEEE DOI 1804
feature extraction, image coding, image representation, learning (artificial intelligence), linear codes, natural scenes, natural scene images (NSIs) BibRef

Kim, I.[Ilseung], Jeong, J.C.[Je-Chang],
Hash rearrangement scheme for HEVC screen content coding,
IET-IPR(12), No. 4, April 2018, pp. 479-484.
DOI Link 1804
BibRef

Zhang, L.[Lian], Li, M.J.[Ming-Juan], Zhang, H.[Hao],
Fast intra bit rate transcoding for HEVC screen content coding,
IET-IPR(12), No. 5, May 2018, pp. 738-744.
DOI Link 1804
BibRef

Yan, Q.S.[Qing-Sen], Gong, D.[Dong], Zhang, Y.N.[Yan-Ning],
Two-Stream Convolutional Networks for Blind Image Quality Assessment,
IP(28), No. 5, May 2019, pp. 2200-2211.
IEEE DOI 1903
feature extraction, image classification, image representation, learning (artificial intelligence), neural nets, no-reference (NR) IQA BibRef

Zhang, Y.[Yi], Chandler, D.M.[Damon M.], Mou, X.Q.[Xuan-Qin],
Quality Assessment of Screen Content Images via Convolutional-Neural-Network-Based Synthetic/Natural Segmentation,
IP(27), No. 10, October 2018, pp. 5113-5128.
IEEE DOI 1808
data compression, feature extraction, image segmentation, neural nets, screen content images, local entropy BibRef

Zhang, Y., Chandler, D.M.,
Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images via Distortion Parameter Estimation,
IP(27), No. 11, November 2018, pp. 5433-5448.
IEEE DOI 1809
data compression, distortion, feature extraction, image coding, learning (artificial intelligence), parameter estimation, distortion parameter estimation BibRef

Chen, J., Shen, L., Zheng, L., Jiang, X.,
Naturalization Module in Neural Networks for Screen Content Image Quality Assessment,
SPLetters(25), No. 11, November 2018, pp. 1685-1689.
IEEE DOI 1811
image processing, learning (artificial intelligence), natural scenes, neural nets, visual databases, screen content images BibRef

Chung, K., Liang, Y., Wang, C.,
Effective Content-Aware Chroma Reconstruction Method for Screen Content Images,
IP(28), No. 3, March 2019, pp. 1108-1117.
IEEE DOI 1812
error compensation, image colour analysis, image enhancement, image reconstruction, image sampling, image texture, interpolation, screen content image (SCI) BibRef

Zhou, W.[Wujie], Yu, L.[Lu], Zhou, Y.[Yang], Qiu, W.W.[Wei-Wei], Xiang, J.[Jian], Zhai, Z.[Zhinian],
Blind screen content image quality measurement based on sparse feature learning,
SIViP(13), No. 3, April 2019, pp. 525-530.
Springer DOI 1904
BibRef

Rahul, K.[Kumar], Tiwari, A.K.[Anil Kumar],
FQI: feature-based reduced-reference image quality assessment method for screen content images,
IET-IPR(13), No. 7, 30 May 2019, pp. 1170-1180.
DOI Link 1906
BibRef

Tang, T.[Tong], Li, L.[Ling], Li, J.[Jun],
Improved hierarchical quantisation parameter setting method for screen content coding in high efficiency video coding,
IET-IPR(13), No. 8, 20 June 2019, pp. 1382-1390.
DOI Link 1906
BibRef

Zheng, L.R.[Lin-Ru], Shen, L.Q.[Li-Quan], Chen, J.N.[Jia-Nan], An, P.[Ping], Luo, J.[Jun],
No-Reference Quality Assessment for Screen Content Images Based on Hybrid Region Features Fusion,
MultMed(21), No. 8, August 2019, pp. 2057-2070.
IEEE DOI 1908
feature extraction, image fusion, image representation, image segmentation, matrix algebra, regression analysis, hybrid-region-based features BibRef

Jiang, X.H.[Xu-Hao], Shen, L.Q.[Li-Quan], Ding, Q.[Qing], Zheng, L.R.[Lin-Ru], An, P.[Ping],
Screen content image quality assessment based on convolutional neural networks,
JVCIR(67), 2020, pp. 102745.
Elsevier DOI 2004
Image quality assessment, Screen content image, No-reference, Convolutional neural network BibRef

Jiang, X.[Xuhao], Shen, L.Q.[Li-Quan], Feng, G.R.[Guo-Rui], Yu, L.W.[Liang-Wei], An, P.[Ping],
An optimized CNN-based quality assessment model for screen content image,
SP:IC(94), 2021, pp. 116181.
Elsevier DOI 2104
Image quality assessment, Screen content image, No-reference, Full-reference, Convolutional neural network, Quality pooling, Data selection BibRef

Wu, P.[Pei], Ding, W.X.[Wen-Xin], You, Z.X.[Zhi-Xiang], An, P.[Ping],
Virtual Reality Video Quality Assessment Based on 3d Convolutional Neural Networks,
ICIP19(3187-3191)
IEEE DOI 1910
Virtual Reality (VR), panoramic video, Video Quality Assessment (VQA), 3D Convolutional Neural Network BibRef

Mitrica, I., Mercier, E., Ruellan, C., Fiandrotti, A., Cagnazzo, M., Pesquet-Popescu, B.,
Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content,
MultMed(21), No. 9, September 2019, pp. 2157-2170.
IEEE DOI 1909
Image coding, Semantics, Encoding, Bit rate, Decoding, Compounds, Airplanes, HEVC, screen content coding, cockpit content coding, compound images BibRef

Yang, Y.[Yang], Shen, L.Q.[Li-Quan], Yang, H.[Hao], An, P.[Ping],
A content-based rate control algorithm for screen content video coding,
JVCIR(60), 2019, pp. 328-338.
Elsevier DOI 1903
Screen content video, Rate control, Parameter update, Bit allocation BibRef

Duanmu, F.Y.[Fan-Yi], Ma, Z.[Zhan], Xu, M.[Meng], Wang, Y.[Yao],
An HEVC-Compliant Fast Screen Content Transcoding Framework Based on Mode Mapping,
CirSysVideo(29), No. 10, October 2019, pp. 3068-3082.
IEEE DOI 1910
BibRef
Earlier: A1, A3, A4, A2:
HEVC-compliant screen content transcoding based on mode mapping and fast termination,
VCIP17(1-4)
IEEE DOI 1804
decoding, rate distortion theory, transcoding, video coding, screen content coding extension, bitstream compatibility, mode mapping. video coding, AI configuration, All-Intra configuration, BD-Rate loss, Video Transcoding BibRef

Duanmu, F.Y.[Fan-Yi], Ma, Z.[Zhan], Wang, W., Xu, M.[Meng], Wang, Y.[Yao],
A novel screen content fast transcoding framework based on statistical study and machine learning,
ICIP16(4205-4209)
IEEE DOI 1610
Decision support systems BibRef

Xu, M.[Meng], Ma, Z.[Zhan], Wang, W.[Wei], Wang, X.[Xian], Yu, H.P.[Hao-Ping],
Low-complexity dictionary based lossless screen content coding,
ICIP14(3200-3203)
IEEE DOI 1502
Artificial intelligence BibRef

Kuang, W.[Wei], Chan, Y.L.[Yui-Lam], Tsang, S.H.[Sik-Ho], Siu, W.C.[Wan-Chi],
Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees,
CirSysVideo(30), No. 5, May 2020, pp. 1481-1496.
IEEE DOI 2005
BibRef
Earlier: A3, A1, A2, A4:
Decoder side merge mode and AMVP in HEVC screen content coding,
ICIP17(260-264)
IEEE DOI 1803
BibRef
And: A1, A3, A2, A4:
Fast mode decision algorithm for HEVC screen content intra coding,
ICIP17(2473-2477)
IEEE DOI 1803
Encoding, Copper, Decision trees, Partitioning algorithms, High efficiency video coding, Videos, Computational complexity, decision tree. Complexity theory, Decoding, Encoding, High efficiency video coding, Indexes, Software, Videos, AMVP, HEVC, Screen Content Coding. Collaboration, Estimation, Hafnium, Indexes, Speech, Speech processing, Bayesian decision rule, fast mode decision BibRef

Strutz, T., Möller, P.,
Screen Content Compression Based on Enhanced Soft Context Formation,
MultMed(22), No. 5, May 2020, pp. 1126-1138.
IEEE DOI 2005
Image color analysis, Image coding, Videos, Histograms, Probability distribution, Tools, Encoding, noise estimation BibRef

Kuang, W., Chan, Y., Tsang, S., Siu, W.,
DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding,
CirSysVideo(30), No. 7, July 2020, pp. 1917-1932.
IEEE DOI 2007
Encoding, Copper, Partitioning algorithms, High efficiency video coding, Deep learning, Videos, deep learning BibRef

Cheng, S., Zeng, H., Chen, J., Hou, J., Zhu, J., Ma, K.,
Screen Content Video Quality Assessment: Subjective and Objective Study,
IP(29), 2020, pp. 8636-8651.
IEEE DOI 2009
Quality assessment, Databases, Spatiotemporal phenomena, Video recording, Distortion, Image edge detection, Tensile stress, spatiotemporal feature tensor BibRef

van Damme, S.[Sam], Torres Vega, M.[Maria], Heyse, J.[Joris], de Backerer, F.[Femke], de Turck, F.[Filip],
A low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos,
SP:IC(88), 2020, pp. 115954.
Elsevier DOI 2009
Game video streaming (GVS), Quality of Experience (QoE), Predictive modelling, Objective quality assessment, Game Video Streaming Quality Metric (GVSQM) BibRef

Fang, Y., Du, R., Zuo, Y., Wen, W., Li, L.,
Perceptual Quality Assessment for Screen Content Images by Spatial Continuity,
CirSysVideo(30), No. 11, November 2020, pp. 4050-4063.
IEEE DOI 2011
Feature extraction, Visualization, Quality assessment, Image quality, Distortion measurement, Image color analysis, first-order BibRef

Xu, X.Z.[Xiao-Zhong], Liu, S.[Shan],
Screen Content Coding in Recently Developed Video Coding Standards,
VCIP20(1-2)
IEEE DOI 2102
Standards, Encoding, Tools, Media, Streaming media, Transforms, High efficiency video coding BibRef

Xu, X.Z.[Xiao-Zhong], Wang, S.T.[Shi-Tao], Chen, Y.[Yu], Li, Y.M.[Yi-Ming], Zhang, Q.[Qing], Zheng, Y.S.[Yu-Shan], Liu, S.[Shan],
An Optimized Video Encoder Implementation with Screen Content Coding Tools,
VCIP20(306-309)
IEEE DOI 2102
Encoding, Tools, Color, Optimization, Acceleration, Indexes, Table lookup, screen content coding, intra block copy, encoder optimization BibRef

Loh, W.T.[Woei-Tan], Bong, D.B.L.[David B. L.],
A generalized quality assessment method for natural and screen content images,
IET-IPR(15), No. 1, 2021, pp. 166-179.
DOI Link 2106
BibRef

Huang, Z.Q.[Zi-Qing], Liu, S.G.[Shi-Guang],
Perceptual Hashing With Visual Content Understanding for Reduced-Reference Screen Content Image Quality Assessment,
CirSysVideo(31), No. 7, July 2021, pp. 2808-2823.
IEEE DOI 2107
Visualization, Feature extraction, Image quality, Databases, Robustness, Image coding, Perceptual hashing, statistical feature BibRef

Chen, J.[Jing], Ou, J.S.[Jian-Shan], Zeng, H.Q.[Huan-Qiang], Cai, C.H.[Can-Hui],
A fast algorithm based on gray level co-occurrence matrix and Gabor feature for HEVC screen content coding,
JVCIR(78), 2021, pp. 103128.
Elsevier DOI 2107
Screen content video coding, High efficiency video coding (HEVC), Intra prediction, Partition decision BibRef

Yang, J.C.[Jia-Chen], Bian, Z.L.[Zi-Lin], Liu, J.C.[Jia-Cheng], Jiang, B.[Bin], Lu, W.[Wen], Gao, X.B.[Xin-Bo], Song, H.B.[Hou-Bing],
No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network,
IP(30), 2021, pp. 6801-6814.
IEEE DOI 2108
Image edge detection, Visualization, Measurement, Feature extraction, Quality assessment, Image quality, Dogs, AdaBoosting back-propagation neural network BibRef

Wang, M.H.[Miao-Hui], Liu, X.Q.[Xue-Qin], Xie, W.[Wuyuan], Xu, L.[Long],
Perceptual Redundancy Estimation of Screen Images via Multi-Domain Sensitivities,
SPLetters(28), 2021, pp. 1440-1444.
IEEE DOI 2108
Sensitivity, Image edge detection, Redundancy, Visualization, Estimation, Distortion, Transforms, Perceptual redundancy, orientation sensitivity BibRef

Yang, J.C.[Jia-Chen], Bian, Z.[Zilin], Zhao, Y.[Yang], Lu, W.[Wen], Gao, X.B.[Xin-Bo],
Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information,
SPLetters(28), 2021, pp. 1480-1484.
IEEE DOI 2108
Distortion, Feature extraction, Image quality, Databases, Visualization, Training, Convolution, Image quality assessment, attention module BibRef

Chang, Y.L.[Yong-Li], Li, S.[Sumei], Liu, A.[Anqi], Jin, J.[Jie],
Quality assessment of screen content images based on multi-stage dictionary learning,
JVCIR(79), 2021, pp. 103248.
Elsevier DOI 2109
Image quality assessment, Screen content images, Sparse dictionary, Hierarchical feature extraction BibRef

Adhuran, J.[Jayasingam], Kulupana, G.[Gosala], Blasi, S.[Saverio], Fernando, A.[Anil],
Parameter-Based Affine Intra Prediction of Screen Content in Versatile Video Coding,
CirSysVideo(31), No. 9, September 2021, pp. 3590-3602.
IEEE DOI 2109
Encoding, Tools, Predictive models, Video coding, Standards, Complexity theory, Bit rate, VVC, intra prediction, affine, intra block copy BibRef

Yang, Y.[Yufen], Zhou, K.L.[Kai-Lun], Zhao, L.P.[Li-Ping], Lin, T.[Tao],
An Ultralow Complexity String Matching Approach to Screen Content Coding in AVS3,
CirSysVideo(31), No. 9, September 2021, pp. 3714-3718.
IEEE DOI 2109
Encoding, Complexity theory, Standards, Tools, Hardware, Mobile handsets, Software, Audio-video coding standard, dual unity offset string BibRef

Zhou, Q.Y.[Qing-Yang], Zhao, L.P.[Li-Ping], Zhou, K.L.[Kai-Lun], Lin, T.[Tao], Wang, H.H.[Hui-Hui], Wang, S.H.[Shu-Hui], Jiao, M.C.[Meng-Cao],
String Prediction for 4:2:0 Format Screen Content Coding and Its Implementation in AVS3,
MultMed(23), 2021, pp. 3867-3876.
IEEE DOI 2110
Encoding, Transforms, Standards, Complexity theory, Decoding, Software, Tools, Audio video coding standard, screen content coding, 4:2:0 format BibRef

Ding, L.[Li], Wang, P.[Ping], Huang, H.[Hua],
Unified quality assessment of natural and screen content images via adaptive weighting on double scales,
SP:IC(99), 2021, pp. 116446.
Elsevier DOI 2111
Image quality assessment, Screen content image, Image structures, Structural scale, Cross-content-type image BibRef

Sanchez, V.[Victor],
Rate Control for Predictive Transform Screen Content Video Coding Based on RANSAC,
CirSysVideo(31), No. 11, November 2021, pp. 4422-4438.
IEEE DOI 2112
Bit rate, Encoding, Distortion, Computational modeling, Complexity theory, Video sequences, Color, Video coding, HEVC BibRef

Min, X.K.[Xiong-Kuo], Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun], Le Callet, P.[Patrick], Chen, C.W.[Chang Wen],
Screen Content Quality Assessment: Overview, Benchmark, and Beyond,
Surveys(54), No. 9, October 2021, pp. xx-yy.
DOI Link 2112
quality assessment, Screen content, quality of experience, natural scene BibRef

Tolie, H.F.[Hamidreza Farhadi], Faraji, M.R.[Mohammad Reza],
Screen content image quality assessment using distortion-based directional edge and gradient similarity maps,
SP:IC(101), 2022, pp. 116562.
Elsevier DOI 2201
Screen content image, Image quality assessment, Difference of Gaussian, Contrast change, Distortion detection BibRef

Pan, Z.Q.[Zhao-Qing], Yu, W.J.[Wei-Jie], Lei, J.J.[Jian-Jun], Ling, N.[Nam], Kwong, S.[Sam],
TSAN: Synthesized View Quality Enhancement via Two-Stream Attention Network for 3D-HEVC,
CirSysVideo(32), No. 1, January 2022, pp. 345-358.
IEEE DOI 2201
Image coding, Distortion, Streaming media, Feature extraction, Encoding, Visualization, convolutional neural networks BibRef

Pan, Z.Q.[Zhao-Qing], Yuan, F.[Feng], Yu, W.J.[Wei-Jie], Lei, J.J.[Jian-Jun], Ling, N.[Nam], Kwong, S.[Sam],
RDEN: Residual Distillation Enhanced Network-Guided Lightweight Synthesized View Quality Enhancement for 3D-HEVC,
CirSysVideo(32), No. 9, September 2022, pp. 6347-6359.
IEEE DOI 2209
Feature extraction, Distortion, Data mining, Task analysis, Visualization, Wrapping, Video recording, 3D-HEVC, residual distillation enhanced network BibRef

Sandic-Stankovic, D.D.[Dragana D.], Kukolj, D.D.[Dragan D.], Le Callet, P.[Patrick],
Quality Assessment of DIBR-Synthesized Views Based on Sparsity of Difference of Closings and Difference of Gaussians,
IP(31), 2022, pp. 1161-1175.
IEEE DOI 2202
Feature extraction, Distortion, Measurement, Image edge detection, Dogs, Visualization, Image representation, Difference of closings, quality prediction BibRef

Heindel, A.[Andreas], Prestele, B.[Benjamin], Gehlert, A.[Alexander], Kaup, A.[André],
Enhancement Layer Coding for Chroma Sub-Sampled Screen Content Video,
CirSysVideo(32), No. 2, February 2022, pp. 788-801.
IEEE DOI 2202
Encoding, Decoding, Standards, Video codecs, Image coding, Hardware, Receivers, Video coding, chroma sub-sampling, scalable coding, HEVC BibRef

Xu, X.Z.[Xiao-Zhong], Liu, S.[Shan],
Overview of Screen Content Coding in Recently Developed Video Coding Standards,
CirSysVideo(32), No. 2, February 2022, pp. 839-852.
IEEE DOI 2202
Encoding, Standards, Tools, Decoding, Hardware, Bandwidth, Writing, Screen content coding, intra block copy, deblocking BibRef

Cheraaqee, P.[Pooryaa], Maviz, Z.[Zahra], Mansouri, A.[Azadeh], Mahmoudi-Aznaveh, A.[Ahmad],
Quality Assessment of Screen Content Images in Wavelet Domain,
CirSysVideo(32), No. 2, February 2022, pp. 566-578.
IEEE DOI 2202
Image edge detection, Feature extraction, Wavelet transforms, Measurement, Image segmentation, Kernel, Image quality, wavelet BibRef

Tang, T.[Tong], Li, L.[Ling], Wu, X.Y.[Xiao-Yu], Chen, R.Z.[Rui-Zhi], Li, H.C.[Hao-Chen], Lu, G.[Guo], Cheng, L.M.[Li-Min],
TSA-SCC: Text Semantic-Aware Screen Content Coding With Ultra Low Bitrate,
IP(31), 2022, pp. 2463-2477.
IEEE DOI 2204
Image coding, Semantics, Bit rate, Image color analysis, Encoding, Text recognition, Standards, Screen content coding (SCC), neural networks BibRef

Li, J.L.[Jun-Lin], Yu, L.[Li], Wang, H.[Hongkui],
Perceptual redundancy model for compression of screen content videos,
IET-IPR(16), No. 6, 2022, pp. 1724-1741.
DOI Link 2204
BibRef

Zhang, C.F.[Chao-Fan], Huang, Z.Q.[Zi-Qing], Liu, S.G.[Shi-Guang], Xiao, J.[Jian],
Dual-Channel Multi-Task CNN for No-Reference Screen Content Image Quality Assessment,
CirSysVideo(32), No. 8, August 2022, pp. 5011-5025.
IEEE DOI 2208
Feature extraction, Convolutional neural networks, Distortion, Nickel, Multitasking, Visualization, Image quality, histogram of oriented gradient BibRef

Gao, R.[Rui], Huang, Z.Q.[Zi-Qing], Liu, S.G.[Shi-Guang],
Multi-task Deep Learning for No-reference Screen Content Image Quality Assessment,
MMMod21(I:213-226).
Springer DOI 2106
BibRef

Gao, C.S.[Chang-Sheng], Li, L.[Li], Liu, D.[Dong], Chen, Z.B.[Zhi-Bo], Li, W.P.[Wei-Ping], Wu, F.[Feng],
Two-Step Fast Mode Decision for Intra Coding of Screen Content,
CirSysVideo(32), No. 8, August 2022, pp. 5608-5622.
IEEE DOI 2208
Encoding, Complexity theory, Correlation, Image color analysis, Image coding, Feature extraction, screen content coding BibRef

Zhang, K.[Kexin], Wang, X.J.[Xue-Jin], Chai, X.L.[Xiong-Li], Shao, F.[Feng],
Multi-layer and Multi-scale feature aggregation for DIBR-Synthesized image quality assessment,
JVCIR(94), 2023, pp. 103851.
Elsevier DOI 2306
Image quality assessment, DIBR-synthesized image, Distortion correction, BIQA BibRef

Vishwanath, B.[Bharath], Zhang, K.[Kai], Zhang, L.[Li],
A Discrete-Mapping-Based Cross-Component Prediction Paradigm for Screen Content Coding,
IP(33), 2024, pp. 16-26.
IEEE DOI 2312
BibRef

Chen, J.[Jing], Chen, L.L.[Lin-Lin], Zeng, H.Q.[Huan-Qiang], Hsia, C.H.[Chih-Hsien], Wang, T.L.[Tian-Lei], Ma, K.K.[Kai-Kuang],
3D-Gradient Guided Rate Control Model for Screen Content Video Coding,
MultMed(25), 2023, pp. 7930-7942.
IEEE DOI 2312
BibRef

Zuo, Y.C.[Yan-Chen], Gao, C.S.[Chang-Sheng], Liu, D.[Dong], Li, L.[Li], Zhang, Y.[Yueyi], Sun, X.Y.[Xiao-Yan],
Learned Rate-Distortion Cost Prediction for Ultrafast Screen Content Intra Coding,
CirSysVideo(34), No. 3, March 2024, pp. 1976-1980.
IEEE DOI 2403
Encoding, Costs, Complexity theory, Real-time systems, Rate-distortion, Training, Neurons, Convolutional neural network, screen content coding BibRef

Tang, T.[Tong], Yin, Z.Y.[Zhi-Yang], Li, J.[Jie], Wang, H.G.[Hong-Gang], Wu, D.P.[Da-Peng], Wang, R.[Ruyan],
End-to-End Distortion Modeling for Error-Resilient Screen Content Video Coding,
MultMed(26), 2024, pp. 4458-4468.
IEEE DOI 2403
Distortion, Encoding, Streaming media, Decoding, Image coding, Video coding, Estimation, Screen content video, error concealment BibRef


Shen, S.[Sheng], Yue, H.[Huanjing], Yang, J.Y.[Jing-Yu],
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression,
ICCV23(12841-12850)
IEEE DOI 2401
BibRef

Helmrich, C.R.[Christian R.], Henkel, A.[Anastasia], Hinz, T.[Tobias], Wieckowski, A.[Adam], Bross, B.[Benjamin], Marpe, D.[Detlev],
Finalization of VVenC's Screen Content Detector and Two-Pass Rate Control Using Pre-Filtering Statistics,
ICIP23(1160-1164)
IEEE DOI 2312
BibRef

Tang, T.[Tong], Zhang, X.[Xin], Li, Z.[Zhidu], Yang, J.[Jing],
Feature Fusion Enhanced Super Resolution for Low Bitrate Screen Content Compression,
ICIP23(2825-2829)
IEEE DOI 2312
BibRef

Wang, M.[Meng], Zhang, K.[Kai], Zhang, L.[Li], Wu, Y.J.[Yao-Jun], Li, Y.[Yue], Li, J.[Junru], Wang, S.Q.[Shi-Qi],
Transform Skip Inspired End-to-End Compression for Screen Content Image,
ICIP22(3848-3852)
IEEE DOI 2211
Visualization, Analytical models, Image coding, Convolution, Transforms, Feature extraction, Image reconstruction, hyperprior model BibRef

Yang, P.J.[Peng-Jian], Wang, J.[Jun], Zhong, G.Y.[Guang-Yu], Zhang, P.Y.[Peng-Yuan], Zhang, L.[Lai], Liang, F.[Fan], Yang, J.X.[Jian-Xin],
An IBC Reference Block Enhancement Model Based on GAN for Screen Content Video Coding,
MMMod22(II:15-26).
Springer DOI 2203
BibRef

Chang, Y.L.[Yong-Li], Li, S.[Sumei], Liu, A.[Anqi],
Quality Assessment of Screen Content Images Based on Convolutional Neural Network with Dual Pathways,
ICIP21(579-583)
IEEE DOI 2201
Integrated optics, Visualization, Sensitivity, Image color analysis, Feature extraction, Optical imaging, dual pathways network BibRef

Zhao, L., Wei, Z., Cai, W., Wang, W., Zeng, L., Chen, J.,
Efficient Screen Content Coding Based on Convolutional Neural Network Guided by a Large-Scale Database,
ICIP19(2656-2660)
IEEE DOI 1910
High Efficiency Video Coding (HEVC), Screen Content Coding (SCC), Convolutional Neural Network, Intra Prediction BibRef

Loh, W., Bong, D.B.L.,
Quality Assessment for Natural and Screen Visual Contents,
ICIP19(3025-3026)
IEEE DOI 1910
screen content, natural, gradient, quality assessment. BibRef

Wang, X.C.[Xiao-Chuan], Wang, K.[Kai], Yang, B.L.[Bai-Lin], Li, F.W.B.[Frederick W.B.], Liang, X.H.[Xiao-Hui],
Deep Blind Synthesized Image Quality Assessment with Contextual Multi-Level Feature Pooling,
ICIP19(435-439)
IEEE DOI 1910
image quality assessment, synthesized image, feature pooling, DIBR, deep learning BibRef

Yue, G., Hou, C., Gu, K.,
Subjective quality assessment of animation images,
VCIP17(1-4)
IEEE DOI 1804
computer animation, distortion, image processing, natural scenes, visual databases, AI, IQA problem, IQA research, MOS, subjective assessment BibRef

Zhang, M., Wang, S., Li, B.,
Selective motion estimation strategy based on content classification for HEVC screen content coding,
ICIP17(2463-2467)
IEEE DOI 1803
Classification, HEVC, Motion Estimation, Screen Content BibRef

Wang, X., Cao, L., Zhu, Y., Zhang, Y., Jiang, J., Kwong, S.,
Study of subjective and objective quality assessment for screen content images,
ICIP17(750-754)
IEEE DOI 1803
Databases, Distortion, Image quality, Measurement, Quality assessment, Transform coding, Visualization, Screen content image BibRef

Heindel, A., Wige, E., Fleckenstein, F., Prestele, B., Gehlert, A., Kaup, A.,
A low-complexity metric for the estimation of perceived chrominance sub-sampling errors in screen content images,
ICIP17(3225-3229)
IEEE DOI 1803
Decoding, Distortion, Encoding, Image coding, Image color analysis, Measurement, Spatial resolution, Chrominance sub-sampling, PCSE, screen content BibRef

Chen, C., Han, J., Xu, Y., Bankoski, J.,
A staircase transform coding scheme for screen content video coding,
ICIP16(2365-2369)
IEEE DOI 1610
Codecs BibRef

Zuo, L.X.[Ling-Xuan], Wang, H.L.[Han-Li], Fu, J.[Jie],
Screen content image quality assessment via convolutional neural network,
ICIP16(2082-2086)
IEEE DOI 1610
Correlation BibRef

Li, J., Li, B., Xu, J., Xiong, R.,
An adaptive hierarchical QP setting for screen content coding,
VCIP15(1-4)
IEEE DOI 1605
Bit rate BibRef

Wang, Z., Tao, P., Feng, L.,
Rearrangement pixel granularity template matching for lossy screen content picture intra coding,
VCIP15(1-5)
IEEE DOI 1605
Color BibRef

Feng, X., Yang, F., Zhang, H., Shi, N., Ma, Z.,
On video source format of screen content compression,
VCIP15(1-4)
IEEE DOI 1605
Artificial intelligence BibRef

Sanchez, V.[Victor],
Lossless screen content coding in HEVC based on sample-wise median and edge prediction,
ICIP15(4604-4608)
IEEE DOI 1512
DPCM BibRef

Chang, Y.J.[Yao-Jen], Lin, C.C.[Ching-Chieh], Hung, C.H.[Chao-Hsiung], Tu, J.S.[Jih-Sheng], Lin, C.L.[Chun-Lung], Tsai, P.H.[Pei-Hsuan],
Variable-Length Segment Copy for Compressing Index Map of Palette Coding in Screen Content Coding,
PSIVT15(148-159).
Springer DOI 1602
BibRef

Zhang, X.Y.[Xing-Yu], Cohen, R.A., Vetro, A.,
Independent uniform prediction mode for screen content video coding,
VCIP14(129-132)
IEEE DOI 1504
computational complexity BibRef

Chen, H.M.[Hao-Ming], Saxena, A.[Ankur], Fernandes, F.[Felix],
Nearest-neighbor intra prediction for screen content video coding,
ICIP14(3151-3155)
IEEE DOI 1502
Artificial intelligence BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Quality Evaluation, Stereoscopic Imagery, Stereo, Depth .


Last update:Mar 16, 2024 at 20:36:19