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
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
Ma, J.[Jupo],
Wu, J.J.[Jin-Jian],
Li, L.D.[Lei-Da],
Dong, W.S.[Wei-Sheng],
Xie, X.M.[Xue-Mei],
Shi, G.M.[Guang-Ming],
Lin, W.S.[Wei-Si],
Blind Image Quality Assessment With Active Inference,
IP(30), 2021, pp. 3650-3663.
IEEE DOI
2103
Image quality, Generative adversarial networks,
Feature extraction, Distortion, Semantics,
convolutional neural network
BibRef
Wu, J.J.[Jin-Jian],
Zhang, M.[Man],
Shi, G.M.[Guang-Ming],
Xie, X.M.[Xue-Mei],
Lin, W.S.[Wei-Si],
No-Reference Image Quality Assessment with Orientation Selectivity
Mechanism,
ICIP17(3150-3154)
IEEE DOI
1803
Correlation, Databases, Degradation, Distortion, Histograms,
Image quality, Visualization, Image Quality Assessment (IQA),
Visual Pattern Degradation
BibRef
Wu, J.J.[Jin-Jian],
Lin, W.S.[Wei-Si],
Shi, G.M.[Guang-Ming],
Liu, A.[Anmin],
Reduced-Reference Image Quality Assessment with Visual Information
Fidelity,
MultMed(15), No. 7, 2013, pp. 1700-1705.
IEEE DOI
1312
image processing
See also Just Noticeable Difference Estimation for Images With Free-Energy Principle.
BibRef
Wu, J.J.[Jin-Jian],
Lin, W.S.[Wei-Si],
Shi, G.M.[Guang-Ming],
Image Quality Assessment with Degradation on Spatial Structure,
SPLetters(21), No. 4, April 2014, pp. 437-440.
IEEE DOI
1403
Degradation
BibRef
Wu, J.J.[Jin-Jian],
Liu, Y.X.[Yong-Xu],
Shi, G.M.[Guang-Ming],
Lin, W.S.[Wei-Si],
Saliency Change Based Reduced Reference Image Quality Assessment,
VCIP17(1-4)
IEEE DOI
1804
feature extraction, image texture, object detection, LSWH,
RR IQA model, global saliency, image processing systems,
Visual Saliency
BibRef
Wu, J.J.[Jin-Jian],
Zeng, J.C.[Ji-Chen],
Dong, W.S.[Wei-Sheng],
Shi, G.M.[Guang-Ming],
Lin, W.S.[Wei-Si],
Blind Image Quality Assessment with Hierarchy:
Degradation from Local Structure to Deep Semantics,
JVCIR(58), 2019, pp. 353-362.
Elsevier DOI
1901
Blind image quality assessment,
Hierarchical feature degradation, Local structure, Deep semantics
BibRef
Yang, W.[Wen],
Wu, J.J.[Jin-Jian],
Tian, S.[Shiwei],
Li, L.[Leida],
Dong, W.S.[Wei-Sheng],
Shi, G.M.[Guang-Ming],
Fine-Grained Image Quality Caption With Hierarchical Semantics
Degradation,
IP(31), 2022, pp. 3578-3590.
IEEE DOI
2206
Semantics, Degradation, Image quality, Feature extraction,
Distortion, Databases, Bidirectional control,
deep neural network
BibRef
Ji, W.P.[Wei-Ping],
Wu, J.J.[Jin-Jian],
Shi, G.M.[Guang-Ming],
Wan, W.F.[Wen-Fei],
Xie, X.M.[Xue-Mei],
Blind image quality assessment with semantic information,
JVCIR(58), 2019, pp. 195-204.
Elsevier DOI
1901
No-reference image quality assessment, Human perception,
Semantic network, Structural semantics, Spatial semantics
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
Li, Q.H.[Qiao-Hong],
Lin, W.S.[Wei-Si],
Xu, J.T.[Jing-Tao],
Fang, Y.M.[Yu-Ming],
Thalmann, D.[Daniel],
No-reference Image Quality Assessment Based on Structural and Luminance
Information,
MMMod16(I: 301-312).
Springer DOI
1601
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
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.[Kailun],
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.[Xiongkuo],
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.[Haochen],
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
Yang, P.J.[Peng-Jian],
Wang, J.[Jun],
Zhong, G.[Guangyu],
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.,
Wang, K.,
Yang, B.,
Li, F.W.B.,
Liang, X.,
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 .