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0804
BibRef
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A Novel Multi-Stage Motion Vector Processing Method for Motion
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ICIP07(V: 389-392).
IEEE DOI
0709
BibRef
Earlier:
Motion Vector Processing Based on Residual Energy Information for
Motion Compensated Frame Interpolation,
ICIP06(2721-2724).
IEEE DOI
0610
BibRef
Huang, A.M.[Ai-Mei],
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Motion vector processing using the color information,
ICIP09(1605-1608).
IEEE DOI
0911
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Huang, A.M.[Ai-Mei],
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IEEE DOI
0903
BibRef
Earlier:
Correlation-based motion vector processing for motion compensated frame
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ICIP08(1244-1247).
IEEE DOI
0810
BibRef
Huang, A.M.[Ai-Mei],
Nguyen, T.Q.[Truong Q.],
Motion vector processing based on trajectory curve analysis for motion
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ICIP09(377-380).
IEEE DOI
0911
BibRef
Choi, B.D.[Byeong-Doo],
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Kim, C.S.[Chang-Su],
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Motion-Compensated Frame Interpolation Using Bilateral Motion
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0705
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IEICE(E91-D), No. 4, April 2008, pp. 1117-1126.
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0804
BibRef
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Multi-view video coding, Motion vector prediction, Disparity vector
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Lee, S.H.[Sang Heon],
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0709
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Novel True-Motion Estimation Algorithm and Its Application
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1307
interpolation, block-matching algorithm, Frame interpolation;
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Lim, H.,
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A Symmetric Motion Estimation Method for Motion-Compensated Frame
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1112
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Local motion-adaptive interpolation technique based on block matching
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Block matching algorithm, frame interpolation, integral projections;
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A Region-Based Motion-Compensated Frame Interpolation Method Using a
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CirSysVideo(25), No. 3, March 2015, pp. 518-524.
IEEE DOI
1503
Interpolation
BibRef
Kim, D.,
Lim, H.,
Park, H.W.,
Iterative True Motion Estimation for Motion-Compensated Frame
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CirSysVideo(23), No. 3, March 2013, pp. 445-454.
IEEE DOI
1303
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Jeon, D.S.[Dong-San],
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An adaptive reference frame selection method for multiple reference
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IEEE DOI
0911
BibRef
Park, J.H.[Ju Hyun],
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IP(22), No. 11, 2013, pp. 4497-4509.
IEEE DOI
1310
interpolation
BibRef
Yu, Z.F.[Zhe-Fei],
Li, H.Q.[Hou-Qiang],
Wang, Z.Y.[Zhang-Yang],
Hu, Z.[Zeng],
Chen, C.W.[Chang Wen],
Multi-Level Video Frame Interpolation:
Exploiting the Interaction Among Different Levels,
CirSysVideo(23), No. 7, 2013, pp. 1235-1248.
IEEE DOI
1307
interpolation
BibRef
Cho, Y.H.[Yang-Ho],
Lee, H.Y.[Ho-Yeong],
Park, D.S.[Du-Sik],
Temporal Frame Interpolation Based on Multiframe Feature Trajectory,
CirSysVideo(23), No. 12, 2013, pp. 2105-2115.
IEEE DOI
1312
Feature extraction
BibRef
Cho, Y.H.[Yang-Ho],
Lee, H.Y.[Ho-Yeong],
Park, D.S.[Du-Sik],
Kim, C.Y.[Chang-Yeong],
Enhancement for temporal resolution of video based on multi-frame
feature trajectory and occlusion compensation,
ICIP09(389-392).
IEEE DOI
0911
See also Temporal and inter-view skip modes for multi-view video coding.
BibRef
Heinz, F.[Florian],
Güting, R.H.[Ralf Hartmut],
Robust high-quality interpolation of regions to moving regions,
GeoInfo(20), No. 3, July 2016, pp. 385-413.
Springer DOI
1605
For a region over a time interval.
BibRef
Zhang, Y.,
Xu, L.,
Ji, X.,
Dai, Q.,
A Polynomial Approximation Motion Estimation Model for
Motion-Compensated Frame Interpolation,
CirSysVideo(26), No. 8, August 2016, pp. 1421-1432.
IEEE DOI
1609
image texture
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Li, R.[Ran],
Liu, H.B.[Hong-Bing],
Liu, Z.H.[Zheng-Hui],
Li, Y.L.[Yan-Ling],
Fu, Z.J.[Zhang-Jie],
Motion-compensated frame interpolation using patch-based sparseland
model,
SP:IC(54), No. 1, 2017, pp. 36-48.
Elsevier DOI
1704
Motion-compensated frame interpolation
BibRef
Liu, H.B.[Hong-Bin],
Xiong, R.Q.[Rui-Qin],
Ma, S.W.[Si-Wei],
Zhao, D.B.[De-Bin],
Gao, W.[Wen],
Bayesian frame interpolation by fusing multiple motion-compensated
prediction frames,
ICIP11(1173-1176).
IEEE DOI
1201
BibRef
Liu, J.Y.[Jia-Ying],
Xia, S.F.[Si-Feng],
Yang, W.H.[Wen-Han],
Li, M.D.[Ma-Ding],
Liu, D.[Dong],
One-for-All: Grouped Variation Network-Based Fractional Interpolation
in Video Coding,
IP(28), No. 5, May 2019, pp. 2140-2151.
IEEE DOI
1903
convolutional neural nets, image filtering, image restoration,
image sequences, interpolation,
grouped variation network
BibRef
Choi, G.,
Heo, P.,
Park, H.,
Triple-Frame-Based Bi-Directional Motion Estimation for
Motion-Compensated Frame Interpolation,
CirSysVideo(29), No. 5, May 2019, pp. 1251-1258.
IEEE DOI
1905
Bidirectional control, Reliability, Motion estimation,
Interpolation, Filtering, Tracking, Time complexity,
motion vector refinement
BibRef
Choi, G.,
Heo, P.,
Oh, S.R.,
Park, H.,
A new motion estimation method for motion-compensated frame
interpolation using a convolutional neural network,
ICIP17(800-804)
IEEE DOI
1803
Acoustics, Indexes, Speech, Speech processing,
Motion estimation, frame rate up-conversion,
neural networks
BibRef
Ding, X.,
Zhu, N.,
Li, L.,
Li, Y.,
Yang, G.,
Robust Localization of Interpolated Frames by Motion-Compensated
Frame Interpolation Based on an Artifact Indicated Map and Tchebichef
Moments,
CirSysVideo(29), No. 7, July 2019, pp. 1893-1906.
IEEE DOI
1907
Interpolation, Forensics, Forgery, Robustness, Detectors, Shape,
Feature extraction, Video forensics,
Tchebichef moments
BibRef
Zhang, T.[Tao],
Jiang, P.[Peipei],
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Inter-frame video image generation based on spatial continuity
generative adversarial networks,
SIViP(13), No. 8, November 2019, pp. 1487-1494.
WWW Link.
1911
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Chen, X.T.[Xiong-Tao],
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Uni-and-Bi-Directional Video Prediction via Learning Object-Centric
Transformation,
MultMed(22), No. 6, June 2020, pp. 1591-1604.
IEEE DOI
2005
Kernel, Predictive models, Task analysis, Bidirectional control,
Optical imaging, Image reconstruction, Visualization,
visual attention
BibRef
Paliwal, A.[Avinash],
Kalantari, N.K.[Nima Khademi],
Deep Slow Motion Video Reconstruction With Hybrid Imaging System,
PAMI(42), No. 7, July 2020, pp. 1557-1569.
IEEE DOI
2006
Spatial resolution, Cameras, Streaming media, Image reconstruction,
Interpolation, Estimation, Computational photography,
hybrid imaging
BibRef
Kalantari, N.K.,
Shechtman, E.,
Darabi, S.,
Goldman, D.B.,
Sen, P.,
Improving patch-based synthesis by learning patch masks,
ICCP14(1-8)
IEEE DOI
1411
feature extraction.
For hole-filling, retargeting, and reshuffling.
BibRef
Kokaram, A.[Anil],
Singh, D.[Davinder],
Robinson, S.[Simon],
Kelly, D.[Damien],
Collis, B.[Bill],
Libreri, K.[Kim],
Motion-based frame interpolation for film and television effects,
IET-CV(14), No. 6, September 2020, pp. 323-338.
DOI Link
2010
BibRef
Yang, Y.[Yoonmo],
Oh, B.T.[Byung Tae],
Video frame interpolation using deep cascaded network structure,
SP:IC(89), 2020, pp. 115982.
Elsevier DOI
2010
Frame interpolation, Frame-rate up-conversion, Deep learning,
Convolutional neural network (CNN)
BibRef
Cheng, X.,
Chen, Z.,
A Multi-Scale Position Feature Transform Network for Video Frame
Interpolation,
CirSysVideo(30), No. 11, November 2020, pp. 3968-3981.
IEEE DOI
2011
Interpolation, Transforms, Optical sensors, Optical imaging,
Neural networks, Optical computing, Optical fiber networks,
multi-scale network
BibRef
Shen, W.,
Bao, W.,
Zhai, G.,
Chen, L.,
Min, X.,
Gao, Z.,
Video Frame Interpolation and Enhancement via Pyramid Recurrent
Framework,
IP(30), 2021, pp. 277-292.
IEEE DOI
2011
Video frame interpolation, spatial degradation, video deblurring,
video super-resolution, neural network
BibRef
Jin, X.[Xing],
Tang, P.[Ping],
Houet, T.[Thomas],
Corpetti, T.[Thomas],
Alvarez-Vanhard, E.G.[Emilien Gence],
Zhang, Z.[Zheng],
Sequence Image Interpolation via Separable Convolution Network,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Bao, W.B.[Wen-Bo],
Lai, W.S.[Wei-Sheng],
Zhang, X.Y.[Xiao-Yun],
Gao, Z.Y.[Zhi-Yong],
Yang, M.H.[Ming-Hsuan],
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural
Network for Video Interpolation and Enhancement,
PAMI(43), No. 3, March 2021, pp. 933-948.
IEEE DOI
2102
Interpolation, Kernel, Estimation, Motion estimation,
Adaptation models, Optical imaging, Motion compensation, adaptive warping
BibRef
Park, M.,
Kim, H.G.,
Lee, S.,
Ro, Y.M.,
Robust Video Frame Interpolation With Exceptional Motion Map,
CirSysVideo(31), No. 2, February 2021, pp. 754-764.
IEEE DOI
2102
Interpolation, Optical imaging, Streaming media, Motion detection,
Nonlinear optics, Optical computing, Deep learning,
exceptional motion estimation
BibRef
Zhang, D.C.[Da-Cheng],
Lei, W.M.[Wei-Min],
Zhang, W.[Wei],
Chen, X.[Xinyi],
Flow-based frame interpolation networks combined with occlusion-aware
mask estimation,
IET-IPR(14), No. 17, 24 December 2020, pp. 4579-4587.
DOI Link
2104
BibRef
Kuznetsova, A.[Alina],
Talati, A.[Aakrati],
Luo, Y.[Yiwen],
Simmons, K.[Keith],
Ferrari, V.[Vittorio],
Efficient video annotation with visual interpolation and frame
selection guidance,
WACV21(3069-3078)
IEEE DOI
2106
Interpolation, Visualization, Extrapolation,
Annotations, Image annotation
BibRef
Yu, L.W.[Liang-Wei],
Shen, L.Q.[Li-Quan],
Yang, H.[Hao],
Jiang, X.[Xuhao],
Yan, B.[Bo],
A Distortion-Aware Multi-Task Learning Framework for Fractional
Interpolation in Video Coding,
CirSysVideo(31), No. 7, July 2021, pp. 2824-2836.
IEEE DOI
2107
Interpolation, Distortion, Feature extraction, Video coding,
Training, Task analysis, Image coding, Fractional interpolation,
multi-task learning
BibRef
Hosseinpour, M.[Mina],
Behnam, H.[Hamid],
Shojaeifard, M.[Maryam],
Compressive sensing theory and neighborhood spatial-temporal
information for frame rate improvement of dynamic ultrasonic imaging,
IJIST(31), No. 3, 2021, pp. 1334-1356.
DOI Link
2108
compressive sensing theory, dynamic ultrasonic imaging,
frame rate improvement, neighborhood spatial-temporal information
BibRef
Shi, Z.H.[Zhi-Hao],
Liu, X.H.[Xiao-Hong],
Shi, K.[Kangdi],
Dai, L.[Linhui],
Chen, J.[Jun],
Video Frame Interpolation via Generalized Deformable Convolution,
MultMed(24), 2022, pp. 426-439.
IEEE DOI
2202
Convolution, Interpolation, Kernel, Shape, Streaming media, Estimation,
Task analysis, Generalized deformable convolution, video frame interpolation
BibRef
Sim, H.[Hyeonjun],
Oh, J.[Jihyong],
Kim, M.C.[Mun-Churl],
XVFI: eXtreme Video Frame Interpolation,
ICCV21(14469-14478)
IEEE DOI
2203
Training, Interpolation, Ultraviolet sources, Benchmark testing,
Cameras, Robustness, Image and video synthesis, Vision applications and systems
BibRef
Choi, M.[Myungsub],
Lee, S.Y.[Su-Young],
Kim, H.[Heewon],
Lee, K.M.[Kyoung Mu],
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation,
ICCV21(13819-13828)
IEEE DOI
2203
Interpolation, Adaptation models, Costs, Computational modeling,
Dynamics, Superresolution, Image and video synthesis,
Emergency Reviewer
BibRef
Lee, S.[Sungho],
Choi, N.[Narae],
Choi, W.I.[Woong Il],
Enhanced Correlation Matching based Video Frame Interpolation,
WACV22(3123-3131)
IEEE DOI
2202
Training, Interpolation, Image motion analysis,
Correlation, Convolution, Estimation, Computational Photography,
Image and Video Synthesis Image Processing -> Image Restoration
BibRef
Alexandre, D.[David],
Hang, H.M.[Hsueh-Ming],
Peng, W.H.[Wen-Hsiao],
Domanski, M.[Marek],
Deep Video Compression for Interframe Coding,
ICIP21(2124-2128)
IEEE DOI
2201
Extrapolation, Image coding, Video compression, Decoding,
Video codecs, Optical flow, Deep learning, video compression,
video extrapolation
BibRef
Wang, Z.F.[Zhen-Fang],
Wang, Y.J.[Yan-Jiang],
Shao, S.[Shuai],
Liu, B.D.[Bao-Di],
OPS-Net: Over-Parameterized Sharing Networks for Video Frame
Interpolation,
ICIP21(1974-1978)
IEEE DOI
2201
Training, Deep learning, Interpolation, Image processing,
Video sequences, Spatiotemporal phenomena,
Over-parameterization
BibRef
Xue, F.Y.[Fan-Yong],
Li, J.[Jie],
Wu, C.T.[Chen-Tao],
A Novel All-In-One Grid Network for Video Frame Interpolation,
ICIP21(1969-1973)
IEEE DOI
2201
Performance evaluation, Interpolation, Image synthesis,
Computational modeling, Estimation, Feature extraction,
optical flow estimation
BibRef
Bhatia, H.[Harsh],
Petruzza, S.N.[Steve N.],
Anirudh, R.[Rushil],
Gyulassy, A.G.[Attila G.],
Kirby, R.M.[Robert M.],
Pascucci, V.[Valerio],
Bremer, P.T.[Peer-Timo],
Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows,
ISVC21(I:235-248).
Springer DOI
2112
BibRef
Wijma, R.[Ruth],
You, S.[Shaodi],
Li, Y.[Yu],
Multi-Level Adaptive Separable Convolution for Large-Motion Video
Frame Interpolation,
PBDL21(1127-1135)
IEEE DOI
2112
Interpolation, Adaptation models,
Analytical models, Convolution, Benchmark testing
BibRef
Ding, T.[Tianyu],
Liang, L.[Luming],
Zhu, Z.H.[Zhi-Hui],
Zharkov, I.[Ilya],
CDFI: Compression-Driven Network Design for Frame Interpolation,
CVPR21(7997-8007)
IEEE DOI
2111
Performance evaluation, Interpolation, Visualization,
Redundancy, Computer architecture, Performance gain
BibRef
Paikin, G.[Genady],
Ater, Y.[Yotam],
Shaul, R.[Roy],
Soloveichik, E.[Evgeny],
EFI-Net: Video Frame Interpolation from Fusion of Events and Frames,
EventVision21(1291-1301)
IEEE DOI
2109
Interpolation, Image color analysis, Lighting, Streaming media,
Cameras, Sensors, Pattern recognition
BibRef
Tulyakov, S.[Stepan],
Gehrig, D.[Daniel],
Georgoulis, S.[Stamatios],
Erbach, J.[Julius],
Gehrig, M.[Mathias],
Li, Y.[Yuanyou],
Scaramuzza, D.[Davide],
Time Lens: Event-based Video Frame Interpolation,
CVPR21(16150-16159)
IEEE DOI
HTML Version.
2106
Code, Frame Interpolation.
Dataset, Frame Interpolation. Interpolation, Visualization, Image color analysis,
Benchmark testing, Cameras, Sensors, Pattern recognition
BibRef
Schuster, R.[René],
Wasenmüller, O.[Oliver],
Unger, C.[Christian],
Stricker, D.[Didier],
SSGP: Sparse Spatial Guided Propagation for Robust and Generic
Interpolation,
WACV21(197-206)
IEEE DOI
2106
Interpolation, Image motion analysis, Convolution,
Image edge detection, Market research, Robustness
BibRef
Liu, K.N.[Kang-Ning],
Gu, S.H.[Shu-Hang],
Romero, A.[Andrés],
Timofte, R.[Radu],
Unsupervised Multimodal Video-to-Video Translation via
Self-Supervised Learning,
WACV21(1029-1039)
IEEE DOI
2106
Interpolation, Recurrent neural networks,
Computational modeling, Semantics, Training data
BibRef
Suzuki, K.[Keito],
Ikehara, M.[Masaaki],
Residual Learning of Video Frame Interpolation Using Convolutional
LSTM,
ICPR21(1499-1504)
IEEE DOI
2105
Interpolation, Uncertainty, Motion estimation, Video sequences,
Neural networks, Cameras, Spatiotemporal phenomena
BibRef
Guo, Y.,
Liu, Z.,
Chen, Z.,
Liu, S.,
Deep Inter Coding with Interpolated Reference Frame for Hierarchical
Coding Structure,
VCIP20(302-305)
IEEE DOI
2102
Encoding, Interpolation, Training, Streaming media, Convolution,
Motion estimation, Neural networks, Inter Prediction,
Convolutional Neural Network (CNN)
BibRef
Zhang, H.X.[Hao-Xian],
Zhao, Y.[Yang],
Wang, R.G.[Rong-Gang],
A Flexible Recurrent Residual Pyramid Network for Video Frame
Interpolation,
ECCV20(XXV:474-491).
Springer DOI
2011
BibRef
Chi, Z.X.[Zhi-Xiang],
Nasiri, R.M.[Rasoul Mohammadi],
Liu, Z.[Zheng],
Lu, J.W.[Ju-Wei],
Tang, J.[Jin],
Plataniotis, K.N.[Konstantinos N.],
All at Once: Temporally Adaptive Multi-frame Interpolation with
Advanced Motion Modeling,
ECCV20(XXVII:107-123).
Springer DOI
2011
BibRef
Lee, S.,
Lee, H.,
Kim, T.,
Lee, S.,
Extrapolative-Interpolative Cycle-Consistency Learning For Video
Frame Extrapolation,
ICIP20(1571-1575)
IEEE DOI
2011
Extrapolation, Interpolation, Training, Mathematical model,
Task analysis, Computational modeling,
Cycle-consistency loss
BibRef
Zhuang, J.,
Qin, Z.,
Chen, J.,
Wan, T.,
A Lightweight Network Model For Video Frame Interpolation Using
Spatial Pyramids,
ICIP20(543-547)
IEEE DOI
2011
Interpolation, Computational modeling, Estimation,
Optical transmitters, Training, Machine learning, Deep learning
BibRef
Kokaram, A.,
Singh, D.,
Robinson, S.,
A Bayesian View of Frame Interpolation and a Comparison with Existing
Motion Picture Effects Tools,
ICIP20(553-557)
IEEE DOI
2011
Interpolation, Motion pictures, Optical imaging, Estimation,
Image reconstruction, Bayes methods, Motion estimation,
motion estimation
BibRef
Murn, L.,
Blasi, S.,
Smeaton, A.F.,
O'Connor, N.E.,
Mrak, M.,
Interpreting CNN For Low Complexity Learned Sub-Pixel Motion
Compensation In Video Coding,
ICIP20(798-802)
IEEE DOI
2011
Artificial neural networks, Complexity theory, Interpolation,
Encoding, Video coding, Training, Kernel,
inter prediction
BibRef
Park, J.[Junheum],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation,
ICCV21(14519-14528)
IEEE DOI
2203
Interpolation, Codes, Heuristic algorithms, Motion estimation,
Dynamics, Filtering algorithms, Image and video synthesis, Motion and tracking
BibRef
Park, J.[Junheum],
Ko, K.[Keunsoo],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video
Interpolation,
ECCV20(XIV:109-125).
Springer DOI
2011
BibRef
Wang, Y.,
Wu, J.,
Long, M.,
Tenenbaum, J.B.,
Probabilistic Video Prediction From Noisy Data With a Posterior
Confidence,
CVPR20(10827-10836)
IEEE DOI
2008
Predictive models, Uncertainty, Bayes methods, Noise measurement,
Mathematical model, Streaming media, Stochastic processes
BibRef
Le Guen, V.,
Thome, N.,
Disentangling Physical Dynamics From Unknown Factors for Unsupervised
Video Prediction,
CVPR20(11471-11481)
IEEE DOI
2008
Predictive models, Forecasting, Mathematical model,
Computer architecture, Computational modeling, Training,
Recurrent neural networks
BibRef
Jin, B.B.[Bei-Bei],
Hu, Y.[Yu],
Tang, Q.K.[Qian-Kun],
Niu, J.Y.[Jing-Yu],
Shi, Z.P.[Zhi-Ping],
Han, Y.H.[Yin-He],
Li, X.W.[Xiao-Wei],
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity
and Temporal-Consistency Video Prediction,
CVPR20(4553-4562)
IEEE DOI
2008
Discrete wavelet transforms, Predictive models, Wavelet analysis,
Streaming media, Time-frequency analysis
BibRef
Choi, M.,
Choi, J.,
Baik, S.,
Kim, T.H.,
Lee, K.M.,
Scene-Adaptive Video Frame Interpolation via Meta-Learning,
CVPR20(9441-9450)
IEEE DOI
2008
Interpolation, Adaptation models, Task analysis, Estimation,
Training, Computational modeling, Performance gain
BibRef
Gui, S.,
Wang, C.,
Chen, Q.,
Tao, D.,
FeatureFlow: Robust Video Interpolation via Structure-to-Texture
Generation,
CVPR20(14001-14010)
IEEE DOI
2008
Feature extraction, Interpolation, Optical imaging, Generators,
Image edge detection, Task analysis, Convolution
BibRef
Shen, W.,
Bao, W.,
Zhai, G.,
Chen, L.,
Min, X.,
Gao, Z.,
Blurry Video Frame Interpolation,
CVPR20(5113-5122)
IEEE DOI
2008
Interpolation, Image restoration, Cameras, Degradation,
Optical network units, Kernel, Computational modeling
BibRef
Niklaus, S.,
Liu, F.,
Softmax Splatting for Video Frame Interpolation,
CVPR20(5436-5445)
IEEE DOI
2008
Interpolation, Optical imaging, Task analysis, Feature extraction,
Estimation, Image generation, Optical buffering
BibRef
Lee, H.,
Kim, T.,
Chung, T.,
Pak, D.,
Ban, Y.,
Lee, S.,
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation,
CVPR20(5315-5324)
IEEE DOI
2008
Kernel, Interpolation, Feature extraction, Task analysis,
Collaboration, Convolution, Neural networks
BibRef
Reda, F.,
Sun, D.,
Dundar, A.,
Shoeybi, M.,
Liu, G.,
Shih, K.,
Tao, A.,
Kautz, J.,
Catanzaro, B.,
Unsupervised Video Interpolation Using Cycle Consistency,
ICCV19(892-900)
IEEE DOI
2004
interpolation, neural nets, optimisation, unsupervised learning,
video signal processing, cycle consistency, Training data
BibRef
Yu, S.,
Park, B.,
Jeong, J.,
PoSNet: 4x Video Frame Interpolation Using Position-Specific Flow,
AIM19(3503-3511)
IEEE DOI
2004
Code, Video Interpolation.
WWW Link. image resolution, image sequences, interpolation,
video signal processing, video frame interpolation,
Video Enhancement
BibRef
Choi, J.,
Kweon, I.S.,
DIFRINT: Deep Iterative Frame Interpolation for Full-Frame Video
Stabilization,
MMVAMTC19(3732-3736)
IEEE DOI
2004
interpolation, iterative methods, jitter, motion estimation,
video signal processing, frame boundaries, video frames,
Self supervised learning
BibRef
Li, S.,
Xu, X.,
Pan, Z.,
Sun, W.,
Quadratic Video Interpolation for VTSR Challenge,
AIM19(3427-3431)
IEEE DOI
2004
interpolation, video signal processing, VTSR challenge,
quadratic video interpolation algorithm, image manipulation,
CNN
BibRef
Wang, Y.[Yang],
Huang, H.B.[Hai-Bin],
Wang, C.[Chuan],
He, T.[Tong],
Wang, J.[Jue],
Hoai, M.[Minh],
GIF2Video: Color Dequantization and Temporal Interpolation of GIF
Images,
CVPR19(1419-1428).
IEEE DOI
2002
BibRef
Yuan, L.Z.[Liang-Zhe],
Chen, Y.[Yibo],
Liu, H.T.[Han-Tian],
Kong, T.[Tao],
Shi, J.B.[Jian-Bo],
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level
Discrimination,
CVPR19(12175-12183).
IEEE DOI
2002
BibRef
Bao, W.B.[Wen-Bo],
Lai, W.S.[Wei-Sheng],
Ma, C.[Chao],
Zhang, X.Y.[Xiao-Yun],
Gao, Z.Y.[Zhi-Yong],
Yang, M.H.[Ming-Hsuan],
Depth-Aware Video Frame Interpolation,
CVPR19(3698-3707).
IEEE DOI
2002
BibRef
Peleg, T.[Tomer],
Szekely, P.[Pablo],
Sabo, D.[Doron],
Sendik, O.[Omry],
IM-Net for High Resolution Video Frame Interpolation,
CVPR19(2393-2402).
IEEE DOI
2002
BibRef
Xia, S.,
Yang, W.,
Hu, Y.,
Liu, J.,
Deep Inter Prediction Via Pixel-Wise Motion Oriented Reference
Generation,
ICIP19(1710-1774)
IEEE DOI
1910
Inter prediction, frame interpolation, deep learning, video coding
BibRef
Zhang, H.,
Li, L.,
Song, L.,
Yang, X.,
Li, Z.,
Advanced CNN Based Motion Compensation Fractional Interpolation,
ICIP19(709-713)
IEEE DOI
1910
Video Coding, Convolutional Neural Network, Fractional Interpolation
BibRef
Zhou, L.,
Chen, Y.,
Tian, X.,
Jiang, R.,
Frame Interpolation Using Phase and Amplitude Feature Pyramids,
ICIP19(4190-4194)
IEEE DOI
1910
Gabor filtering, frame interpolation, phase-based method, neural network
BibRef
Jayashankar, T.,
Moulin, P.,
Blu, T.,
Gilliam, C.,
Lap-Based Video Frame Interpolation,
ICIP19(4195-4199)
IEEE DOI
1910
Optical flow, Convolutional neural network,
Lucas-Kanade algorithm, Video interpolation, Splines
BibRef
Kidani, Y.,
Kawamura, K.,
Unno, K.,
Naito, S.,
Blocksize-QP Dependent Intra Interpolation Filters,
ICIP19(4125-4129)
IEEE DOI
1910
VVC, video coding, intra angular prediction, intra interpolation filter
BibRef
Narita, R.,
Hirakawa, K.,
Aizawa, K.,
Optical Flow Based Line Drawing Frame Interpolation Using Distance
Transform to Support Inbetweenings,
ICIP19(4200-4204)
IEEE DOI
1910
2D animation, inbetweening, optical flow
BibRef
Arif, F.[Fahim],
Amin, S.[Sundas],
Ghafoor, A.[Abdul],
Riaz, M.M.[M. Mohsin],
Frame Interpolation Using Phase Information and Guided Image Filtering,
CIAP19(II:249-259).
Springer DOI
1909
BibRef
Hannemose, M.[Morten],
Jensen, J.N.[Janus Nørtoft],
Einarsson, G.[Gudmundur],
Wilm, J.[Jakob],
Dahl, A.B.[Anders Bjorholm],
Frisvad, J.R.[Jeppe Revall],
Video Frame Interpolation via Cyclic Fine-Tuning and Asymmetric Reverse
Flow,
SCIA19(311-323).
Springer DOI
1906
BibRef
Jiang, H.,
Sun, D.,
Jampani, V.,
Yang, M.,
Learned-Miller, E.G.,
Kautz, J.,
Super SloMo: High Quality Estimation of Multiple Intermediate Frames
for Video Interpolation,
CVPR18(9000-9008)
IEEE DOI
1812
Optical imaging, Interpolation, Adaptive optics, Cognition,
Computational modeling, Bidirectional control, Cameras
BibRef
Meyer, S.,
Djelouah, A.,
McWilliams, B.,
Sorkine-Hornung, A.,
Gross, M.[Markus],
Schroers, C.[Christopher],
PhaseNet for Video Frame Interpolation,
CVPR18(498-507)
IEEE DOI
1812
Interpolation, Optical imaging, Optical computing, Neural networks,
Image reconstruction, Lighting
BibRef
Niklaus, S.,
Liu, F.,
Context-Aware Synthesis for Video Frame Interpolation,
CVPR18(1701-1710)
IEEE DOI
1812
Interpolation, Adaptive optics, Neural networks, Optical computing,
Optical imaging, Estimation
BibRef
Wu, C.Y.[Chao-Yuan],
Singhal, N.[Nayan],
Krähenbühl, P.[Philipp],
Video Compression Through Image Interpolation,
ECCV18(VIII: 425-440).
Springer DOI
1810
BibRef
Chiang, C.H.,
Han, J.,
Vitvitskyy, S.,
Mukherjee, D.,
Xu, Y.,
Adaptive interpolation filter scheme in AV1,
ICIP17(934-937)
IEEE DOI
1803
Adders, Cutoff frequency, Encoding, Hardware, Interpolation, Kernel,
Passband, Interpolation filter, adaptive filter, motion compensated prediction
BibRef
Lin, W.T.,
Nanjundaswamy, T.,
Rose, K.,
Adaptive interpolated motion compensated prediction,
ICIP17(943-947)
IEEE DOI
1803
Bit rate, Decoding, Estimation, Indexes, Motion compensation,
Predictive models, Training, Video coding, adaptation,
motion compensation
BibRef
Niklaus, S.[Simon],
Mai, L.[Long],
Wang, O.[Oliver],
Revisiting Adaptive Convolutions for Video Frame Interpolation,
WACV21(1098-1108)
IEEE DOI
2106
Interpolation, Image filtering,
Task analysis, Optimization, Image denoising
BibRef
Niklaus, S.[Simon],
Mai, L.[Long],
Liu, F.,
Video Frame Interpolation via Adaptive Separable Convolution,
ICCV17(261-270)
IEEE DOI
1802
BibRef
And:
Video Frame Interpolation via Adaptive Convolution,
CVPR17(2270-2279)
IEEE DOI
1711
convolution, image motion analysis, image sampling,
image sequences, interpolation, neural nets.
Image color analysis, Kernel,
Optical computing, Optical imaging
BibRef
Meyer, S.[Simone],
Wang, O.[Oliver],
Zimmer, H.[Henning],
Grosse, M.[Max],
Sorkine-Hornung, A.[Alexander],
Phase-based frame interpolation for video,
CVPR15(1410-1418)
IEEE DOI
1510
BibRef
Jiang, X.B.[Xiu-Bao],
Wang, R.G.[Rong-Gang],
Luo, J.J.[Jia-Jia],
Wang, Z.Y.[Zhen-Yu],
Gao, W.[Wen],
Robust view interpolation with mesh cutting,
VCIP16(1-4)
IEEE DOI
1701
Color
BibRef
Tang, C.X.[Chuan-Xin],
Wang, R.G.[Rong-Gang],
Wang, W.M.[Wen-Min],
Gao, W.[Wen],
A new frame interpolation method with pixel-level motion vector field,
VCIP14(350-353)
IEEE DOI
1504
image motion analysis
BibRef
Rakêt, L.L.[Lars Lau],
Roholm, L.[Lars],
Bruhn, A.[Andrés],
Weickert, J.[Joachim],
Motion Compensated Frame Interpolation with a Symmetric Optical Flow
Constraint,
ISVC12(I: 447-457).
Springer DOI
1209
BibRef
Yu, Z.F.[Zhe-Fei],
Wang, Z.Y.[Zhang-Yang],
Hu, Z.[Zeng],
Ling, Q.[Qing],
Li, H.Q.[Hou-Qiang],
Video frame interpolation using 3-D total variation regularized
completion,
ICIP12(857-860).
IEEE DOI
1302
BibRef
Yu, Z.F.[Zhe-Fei],
Wang, Z.Y.[Zhang-Yang],
Hu, Z.[Zeng],
Li, H.Q.[Hou-Qiang],
Ling, Q.[Qing],
Video error concealment via total variation regularized matrix
completion,
ICIP12(1633-1636).
IEEE DOI
1302
BibRef
Huang, Y.J.[Yu-Jie],
Lin, Y.Y.[Yin-Yi],
Motion compensated frame interpolation using skipped frame information,
VCIP11(1-4).
IEEE DOI
1201
BibRef
He, S.Q.[Su-Qin],
Zhao, P.M.[Pu-Ming],
Yan, J.Y.[Jin-Yu],
A New Global Bi-Directional Motion Compensation Frame Interpolation for
Rate Control in H.264/AVC CODEC,
CISP09(1-6).
IEEE DOI
0910
BibRef
Lee, Y.L.[Yen-Lin],
Nguyen, T.[Truong],
Fast one-pass motion compensated frame interpolation in high-definition
video processing,
ICIP09(369-372).
IEEE DOI
0911
BibRef
Mishima, N.[Nao],
Itoh, G.[Goh],
Novel frame interpolation method for hold-type displays,
ICIP04(III: 1473-1476).
IEEE DOI
0505
BibRef
Yoon, S.C.,
Ahuja, N.,
Frame Interpolation Using Transmitted Block-based Motion Vectors,
ICIP01(III: 856-859).
IEEE DOI
0108
BibRef
Martins, F.C.M.[Fernando C.M.],
Real-time video frame rate adaptation based on warping of
edge-preserving meshes,
ICIP99(III:948-952).
IEEE DOI
BibRef
9900
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Manipulation -- Sampling, Reduction, Decimation, General Size Changes, Resizing .