Fogel, S.[Sergei],
Segmentation-based method for motion-compensated frame interpolation,
US_Patent6,008,865, Dec 28, 1999
WWW Link.
BibRef
9912
Aguado, A.S.[Alberto S.],
Montiel, E.[Eugenia],
Progressive Linear Search for Stereo Matching and
Its Application to Interframe Interpolation,
CVIU(81), No. 1, January 2001, pp. 46-71.
DOI Link
0102
BibRef
Liu, T.Y.[Tie-Yan],
Lo, K.T.[Kwok-Tung],
Feng, J.[Jian],
Zhang, X.D.[Xu-Dong],
Frame interpolation scheme using inertia motion prediction,
SP:IC(18), No. 3, March 2003, pp. 221-229.
Elsevier DOI
0304
BibRef
Liu, S.[Shan],
Kuo, C.C.J.[C.C. Jay],
Kim, J.W.[Jong-Won],
Hybrid global-local motion compensated frame interpolation for low bit
rate video coding,
JVCIR(14), No. 1, March 2002, pp. 58-76.
Elsevier DOI
0304
BibRef
Huang, A.M.[Ai-Mei],
Nguyen, T.Q.[Truong Q.],
A Multistage Motion Vector Processing Method for Motion-Compensated
Frame Interpolation,
IP(17), No. 5, May 2008, pp. 694-708.
IEEE DOI
0804
BibRef
Earlier:
A Novel Multi-Stage Motion Vector Processing Method for Motion
Compensated Frame Interpolation,
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],
Nguyen, T.Q.[Truong Q.],
Motion vector processing using the color information,
ICIP09(1605-1608).
IEEE DOI
0911
BibRef
Huang, A.M.[Ai-Mei],
Nguyen, T.Q.[Truong Q.],
Correlation-Based Motion Vector Processing With Adaptive Interpolation
Scheme for Motion-Compensated Frame Interpolation,
IP(18), No. 4, April 2009, pp. 740-752.
IEEE DOI
0903
BibRef
Earlier:
Correlation-based motion vector processing for motion compensated frame
interpolation,
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
compensated frame interpolation,
ICIP09(377-380).
IEEE DOI
0911
BibRef
Choi, B.D.[Byeong-Doo],
Han, J.W.[Jong-Woo],
Kim, C.S.[Chang-Su],
Ko, S.J.[Sung-Jea],
Motion-Compensated Frame Interpolation Using Bilateral Motion
Estimation and Adaptive Overlapped Block Motion Compensation,
CirSysVideo(17), No. 4, April 2007, pp. 407-416.
IEEE DOI
0705
BibRef
Lee, S.H.[Sang-Heon],
Lee, H.J.[Hyuk-Jae],
Motion-Compensated Frame Interpolation for Intra-Mode Blocks,
IEICE(E91-D), No. 4, April 2008, pp. 1117-1126.
DOI Link
0804
BibRef
Lee, S.H.[Sang Heon],
Lee, S.H.[Sang Hwa],
Yang, J.H.[Jeong Hyu],
Cho, N.I.[Nam Ik],
A motion vector prediction method for multi-view video coding,
JVCIR(21), No. 7, October 2010, pp. 677-681.
Elsevier DOI
1003
Multi-view video coding; Motion vector prediction; Disparity vector
prediction; Inter-view prediction; JMVM; View-temporal prediction;
Probability of inter-view prediction; Magnitude of MV prediction
residual
BibRef
Lee, S.H.[Sang Heon],
Lee, S.H.[Sang Hwa],
Cho, N.I.[Nam Ik],
Hybrid Resolution Switching Method for Low Bit Rate Video Coding,
ICIP07(VI: 73-76).
IEEE DOI
0709
BibRef
Dikbas, S.,
Altunbasak, Y.,
Novel True-Motion Estimation Algorithm and Its Application
to Motion-Compensated Temporal Frame Interpolation,
IP(22), No. 8, 2013, pp. 2931-2945.
IEEE DOI
1307
interpolation; block-matching algorithm; Frame interpolation;
BibRef
Lim, H.,
Park, H.W.,
A Symmetric Motion Estimation Method for Motion-Compensated Frame
Interpolation,
IP(20), No. 12, December 2011, pp. 3653-3658.
IEEE DOI
1112
BibRef
Kim, J.S.[Joon-Seek],
Park, R.H.[Rae-Hong],
Local motion-adaptive interpolation technique based on block matching
algorithms,
SP:IC(4), No. 6, November 1992, pp. 519-528.
Elsevier DOI
0001
Block matching algorithm; frame interpolation; integral projections;
motion vector; motion vector correction; region segmentation; PSNR
BibRef
Lim, H.,
Park, H.W.,
A Region-Based Motion-Compensated Frame Interpolation Method Using a
Variance-Distortion Curve,
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
Interpolation,
CirSysVideo(23), No. 3, March 2013, pp. 445-454.
IEEE DOI
1303
BibRef
Jeon, D.S.[Dong-San],
Park, H.W.[Hyun-Wook],
An adaptive reference frame selection method for multiple reference
frame motion estimation in the H.264/AVC,
ICIP09(629-632).
IEEE DOI
0911
BibRef
Park, J.H.[Ju Hyun],
Kim, Y.C.[Young-Chul],
Hoon, H.S.[Hong-Sung],
Edge-Based Motion Vector Processing for Frame Interpolation Based on
Weighted Vector Median Filter,
IEICE(E93-D), No. 11, November 2010, pp. 3132-3135.
WWW Link.
1011
BibRef
Jeong, S.G.[Seong-Gyun],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Motion-Compensated Frame Interpolation Based on Multihypothesis
Motion Estimation and Texture Optimization,
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
BibRef
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],
Zhang, M.[Meng],
Inter-frame video image generation based on spatial continuity
generative adversarial networks,
SIViP(13), No. 8, November 2019, pp. 1487-1494.
WWW Link.
1911
BibRef
Chen, X.T.[Xiong-Tao],
Wang, W.M.[Wen-Min],
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
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],
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. computer vision, 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.[Hantian],
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.,
Schroers, C.,
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, Computer vision, 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.,
Mai, L.,
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 .