Castagno, R.,
Haavisto, P.,
Ramponi, G.[Giovanni],
A Method for Motion-Adaptive Frame Rate Up-Conversion,
CirSysVideo(6), No. 5, October 1996, pp. 436-446.
IEEE Top Reference.
9610
BibRef
Han, S.C.,
Woods, J.W.,
Adaptive Coding of Moving-Objects for Very-Low Bit Rates,
JCommun(16), No. 1, January 1998, pp. 56-70.
9801
BibRef
Earlier:
Frame-Rate Up-Conversion Using Transmitted Motion and Segmentation Fields
for Very Low Bit-Rate Video Coding,
ICIP97(I: 747-750).
IEEE DOI
Up-Conversion.
BibRef
Han, S.C.,
Woods, J.W.,
Object-Based Subband/Wavelet Video Compression,
AIPU02(183-198).
0905
BibRef
Yang, Y.T.[Ya-Ting],
Tung, Y.S.[Yi-Shin],
Wu, J.L.[Ja-Ling],
Quality Enhancement of Frame Rate Up-Converted Video by Adaptive Frame
Skip and Reliable Motion Extraction,
CirSysVideo(17), No. 12, December 2007, pp. 1700-1713.
IEEE DOI
0712
BibRef
Beric, A.,
van Meerbergen, J.,
de Haan, G.,
Sethuraman, R.,
Memory-Centric Video Processing,
CirSysVideo(18), No. 4, April 2008, pp. 439-452.
IEEE DOI
0804
BibRef
Earlier: A1, A3, A2, A4:
Towards an efficient high quality picture-rate up-converter,
ICIP03(II: 363-366).
IEEE DOI
0312
BibRef
Zhang, Y.B.[Yong-Bing],
Zhao, D.B.[De-Bin],
Ji, X.Y.[Xiang-Yang],
Wang, R.G.[Rong-Gang],
Gao, W.,
A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion,
CirSysVideo(19), No. 9, September 2009, pp. 1289-1301.
IEEE DOI
0909
BibRef
And:
Corrections:
CirSysVideo(20), No. 1, January 2010, pp. 161-161.
IEEE DOI
1002
BibRef
Wang, C.[Ci],
Zhang, L.[Lei],
He, Y.[Yuwen],
Tan, Y.P.[Yap-Peng],
Frame Rate Up-Conversion Using Trilateral Filtering,
CirSysVideo(20), No. 6, June 2010, pp. 886-893.
IEEE DOI
1007
BibRef
Kang, S.J.,
Yoo, S.,
Kim, Y.H.,
Dual Motion Estimation for Frame Rate Up-Conversion,
CirSysVideo(20), No. 12, December 2010, pp. 1909-1914.
IEEE DOI
1102
BibRef
Zhang, Y.B.[Yong-Bing],
Zhao, D.B.[De-Bin],
Ma, S.,
Wang, R.G.[Rong-Gang],
Gao, W.,
A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion,
IP(19), No. 5, May 2010, pp. 1248-1258.
IEEE DOI
1004
BibRef
Zhang, Y.B.[Yong-Bing],
Zhao, D.B.[De-Bin],
Ji, X.Y.[Xiang-Yang],
Wang, R.G.[Rong-Gang],
Chen, X.L.[Xi-Lin],
A Spatio-Temporal Autoregressive Frame Rate Up Conversion Scheme,
ICIP07(I: 441-444).
IEEE DOI
0709
BibRef
Jacobson, N.,
Lee, Y.L.,
Mahadevan, V.,
Vasconcelos, N.M.,
Nguyen, T.Q.,
A Novel Approach to FRUC Using Discriminant Saliency and Frame
Segmentation,
IP(19), No. 11, November 2010, pp. 2924-2934.
IEEE DOI
1011
Frame Rate Up Conversion (?)
BibRef
Jacobson, N.,
Nguyen, T.Q.,
Scale-Aware Saliency for Application to Frame Rate Upconversion,
IP(21), No. 4, April 2012, pp. 2198-2206.
IEEE DOI
1204
BibRef
Veeraraghavan, A.[Ashok],
Reddy, D.[Dikpal],
Raskar, R.[Ramesh],
Coded Strobing Photography:
Compressive Sensing of High Speed Periodic Videos,
PAMI(33), No. 4, April 2011, pp. 671-686.
IEEE DOI
1103
via temporal modulation, capture high-speed video beyond capability of
low-frame-rate camera. Strobe coded projections.
BibRef
Reddy, D.[Dikpal],
Veeraraghavan, A.[Ashok],
Chellappa, R.[Rama],
P2C2: Programmable pixel compressive camera for high speed imaging,
CVPR11(329-336).
IEEE DOI
1106
BibRef
Asif, M.S.[M. Salman],
Reddy, D.[Dikpal],
Boufounos, P.T.[Petros T.],
Veeraraghavan, A.[Ashok],
Streaming Compressive Sensing for high-speed periodic videos,
ICIP10(3373-3376).
IEEE DOI
1009
BibRef
Liu, H.,
Xiong, R.,
Zhao, D.,
Ma, S.,
Gao, W.,
Multiple Hypotheses Bayesian Frame Rate Up-Conversion by Adaptive
Fusion of Motion-Compensated Interpolations,
CirSysVideo(22), No. 8, August 2012, pp. 1188-1198.
IEEE DOI
1208
BibRef
Tsai, T.H.[Tsung-Han],
Lin, H.Y.[Hsueh-Yi],
Hybrid Frame Rate Upconversion Method Based on Motion Vector Mapping,
CirSysVideo(23), No. 11, 2013, pp. 1901-1910.
IEEE DOI
1312
image resolution
BibRef
Lee, W.H.[Won Hee],
Choi, K.[Kyuha],
Ra, J.B.[Jong Beom],
Frame Rate Up Conversion Based on Variational Image Fusion,
IP(23), No. 1, January 2014, pp. 399-412.
IEEE DOI
1402
image fusion
BibRef
Lee, W.H.[Won Hee],
Choi, Y.[Yunjun],
Choi, K.[Kyuha],
Ra, J.B.[Jong Beom],
Frame rate up conversion via image fusion based on variational approach,
ICIP10(885-888).
IEEE DOI
1009
BibRef
Kim, U.S.[Un Seob],
Sunwoo, M.H.[Myung Hoon],
New Frame Rate Up-Conversion Algorithms With Low Computational
Complexity,
CirSysVideo(24), No. 3, March 2014, pp. 384-393.
IEEE DOI
1404
computational complexity
BibRef
Yang, X.H.[Xiao-Hui],
Liu, J.[Ju],
Sun, J.[Jiande],
Lee, Y.[Yeejin],
Nguyen, T.Q.,
Depth-Assisted Frame Rate Up-Conversion for Stereoscopic Video,
SPLetters(21), No. 4, April 2014, pp. 423-427.
IEEE DOI
1403
image representation
BibRef
Min, K.Y.[Kyung-Yeon],
Ma, J.H.[Jong-Hyun],
Sim, D.G.[Dong-Gyu],
Bajic, I.V.[Ivan V.],
Bidirectional Mesh-Based Frame Rate Up-Conversion,
MultMedMag(22), No. 2, April 2015, pp. 36-45.
IEEE DOI
1507
Bidirectional control
BibRef
Chen, J.H.[Jun-Hua],
Liu, Y.F.[Yan-Fei],
Frame rate up-conversion based on dual criterion motion estimation and
motion vector adjustment,
SIViP(9), No. 8, November 2015, pp. 1861-1869.
WWW Link.
1511
BibRef
Li, R.[Ran],
Liu, H.B.[Hong-Bing],
Chen, J.[Jie],
Gan, Z.L.[Zong-Liang],
Wavelet Pyramid Based Multi-Resolution Bilateral Motion Estimation for
Frame Rate Up-Conversion,
IEICE(E99-D), No. 1, January 2016, pp. 208-218.
WWW Link.
1601
BibRef
Rezaee Kaviani, H.,
Shirani, S.,
An Adaptive Patch-Based Reconstruction Scheme for View Synthesis by
Disparity Estimation Using Optical Flow,
CirSysVideo(28), No. 7, July 2018, pp. 1540-1552.
IEEE DOI
1807
Adaptive optics, Cameras, Estimation, Image edge detection,
Image reconstruction, Optical imaging,
view interpolation
BibRef
Rezaee Kaviani, H.,
Shirani, S.,
Frame Rate Upconversion Using Optical Flow and Patch-Based
Reconstruction,
CirSysVideo(26), No. 9, September 2016, pp. 1581-1594.
IEEE DOI
1609
Accuracy
BibRef
Van, X.H.[Xiem Hoang],
Statistical search range adaptation solution for effective frame rate
up-conversion,
IET-IPR(12), No. 1, January 2018, pp. 113-120.
DOI Link
1712
BibRef
Huang, Y.L.,
Chen, F.C.,
Chien, S.Y.,
Algorithm and Architecture Design of Multirate Frame Rate
Up-conversion for Ultra-HD LCD Systems,
CirSysVideo(27), No. 12, December 2017, pp. 2739-2752.
IEEE DOI
1712
Algorithm design and analysis, Brightness, Hardware,
Liquid crystal displays, Prediction algorithms, Retina,
motion estimation (ME)
BibRef
Lu, G.,
Zhang, X.,
Chen, L.,
Gao, Z.,
Novel Integration of Frame Rate Up Conversion and HEVC Coding Based
on Rate-Distortion Optimization,
IP(27), No. 2, February 2018, pp. 678-691.
IEEE DOI
1712
Decoding, Encoding, Image coding, Interpolation, Motion estimation,
Rate-distortion, Videos, Frame rate up conversion, HEVC,
rate-distortion optimization
BibRef
Bao, W.,
Zhang, X.,
Chen, L.,
Ding, L.,
Gao, Z.,
High-Order Model and Dynamic Filtering for Frame Rate Up-Conversion,
IP(27), No. 8, August 2018, pp. 3813-3826.
IEEE DOI
1806
image filtering, interpolation, maximum likelihood estimation,
motion compensation, motion estimation, optimisation, polynomials,
maximum a posteriori
BibRef
Yang, Y.,
Hong, J.H.,
Oh, B.T.,
Multi-Layer Frame Rate Up-Conversion Using Trilateral Filtering for
Multi-View Video,
CirSysVideo(29), No. 2, February 2019, pp. 283-292.
IEEE DOI
1902
Motion estimation, Filtering, Distortion, Measurement,
Motion compensation, Image edge detection,
three-dimensional video
BibRef
Rüfenacht, D.,
Mathew, R.K.,
Taubman, D.S.,
Temporal Frame Interpolation With Motion-Divergence-Guided Occlusion
Handling,
CirSysVideo(29), No. 2, February 2019, pp. 293-307.
IEEE DOI
1902
Interpolation, Motion estimation, Optical distortion,
Computational complexity, Estimation, Cognition, Video coding,
occlusion handling
BibRef
Zhang, Y.,
Chen, L.,
Yan, C.,
Qin, P.,
Ji, X.,
Dai, Q.,
Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion
Using Deep Residual Network,
CirSysVideo(30), No. 1, January 2020, pp. 11-22.
IEEE DOI
2002
convolutional neural nets, edge detection, feature extraction,
image restoration, image sequences, interpolation,
convolutional neural network
BibRef
He, J.[Jiale],
Yang, G.[Gaobo],
Song, J.Y.[Jing-Yu],
Ding, X.L.[Xiang-Ling],
Li, R.[Ran],
Hierarchical prediction-based motion vector refinement for video
frame-rate up-conversion,
RealTimeIP(17), No. 2, April 2020, pp. 259-273.
Springer DOI
2004
BibRef
Vanam, R.,
Reznik, Y.A.,
Frame Rate Up-Conversion Using Bi-Directional Optical Flows With Dual
Regularization,
ICIP20(558-562)
IEEE DOI
2011
Optical flow, Bidirectional control, Interpolation, Reliability,
Videos, Image motion analysis, Frame rate up-conversion,
motion compensation
BibRef
Kim, M.[Minseop],
Choi, H.[Haechul],
A high-quality frame rate up-conversion technique for Super SloMo,
IJCVR(11), No. 5, 2021, pp. 512-525.
DOI Link
2109
BibRef
Yang, X.,
Liu, J.,
Sun, J.,
Feng, Z.,
Tang, H.,
Wang, L.,
Frame rate up-conversion based on depth guided extended block
matching for 3D video,
VCIP16(1-4)
IEEE DOI
1701
Bidirectional control
BibRef
Bao, W.,
Zhang, X.,
Gao, Z.,
Chen, L.,
Frame rate up-conversion based on motion-region segmentation,
VCIP16(1-4)
IEEE DOI
1701
Clustering algorithms
BibRef
Lu, G.,
Zhang, X.,
Gao, Z.,
A novel framework of frame rate up conversion integrated within HEVC
coding,
ICIP16(4240-4244)
IEEE DOI
1610
Bandwidth
BibRef
Zhang, F.,
Bull, D.R.,
HEVC enhancement using content-based local QP selection,
ICIP16(4215-4219)
IEEE DOI
1610
Bit rate
BibRef
Boyadjis, B.,
Pesquet-Popescu, B.,
Dufaux, F.,
Bergeron, C.,
Super-resolution of HEVC videos via convex optimization,
ICIP16(1145-1149)
IEEE DOI
1610
Convex functions
BibRef
Kim, K.[Kyungah],
Kim, M.W.[Min-Woo],
Kim, D.[Deokho],
Ro, W.W.[Won Woo],
True motion compensation with feature detection for frame rate
up-conversion,
ICIP15(2260-2264)
IEEE DOI
1512
Frame rate up-conversion
BibRef
Dehghannasiri, R.[Roozbeh],
Soroushmehr, S.M.R.[S.M. Reza],
Shirani, S.[Shahram],
Frame rate up-conversion using nonparametric estimator,
ICIP14(3872-3876)
IEEE DOI
1502
Equations
BibRef
Liu, Y.T.[Yu-Tao],
Fan, X.P.[Xiao-Peng],
Gao, X.W.[Xin-Wei],
Liu, Y.[Yan],
Zhao, D.B.[De-Bin],
Motion vector refinement for frame rate up conversion on 3D video,
VCIP13(1-6)
IEEE DOI
1402
filtering theory
BibRef
Jeong, S.G.[Seong-Gyun],
Lee, C.[Chul],
Kim, C.S.[Chang-Su],
Exemplar-based frame rate up-conversion with congruent segmentation,
ICIP12(845-848).
IEEE DOI
1302
BibRef
Hu, H.P.[Hai-Ping],
Liu, G.Y.[Guo-Ying],
A novel method for frame rate up-conversion,
IASP11(6-9).
IEEE DOI
1112
BibRef
Tu, S.F.[Shing-Fat],
Au, O.C.,
Wu, Y.N.[Yan-Nan],
Luo, E.M.[En-Ming],
Yeung, C.H.[Chi-Ho],
A Novel Framework for Frame Rate Up Conversion by Predictive Variable
Block-Size Motion Estimated Optical Flow,
CISP09(1-5).
IEEE DOI
0910
BibRef
Turetken, E.[Engin],
Alatan, A.A.[A. Aydin],
Region-based motion-compensated frame rate up-conversion by homography
parameter interpolation,
ICIP09(381-384).
IEEE DOI
0911
BibRef
Luessi, M.[Martin],
Katsaggelos, A.K.[Aggelos K.],
Efficient motion compensated frame rate upconversion using multiple
interpolations and median filtering,
ICIP09(373-376).
IEEE DOI
0911
BibRef
Ling, Y.[Yang],
Wang, J.[Jin],
Liu, Y.Q.[Yun-Qiang],
Zhang, W.J.[Wen-Jun],
Spatial and temporal correlation based frame rate up-conversion,
ICIP08(909-912).
IEEE DOI
0810
BibRef
Sugiyama, K.[Kenji],
Inter-frame predictive encoding system with encoded and
transmitted prediction error,
US_Patent4,985,768, January 15, 1991.
HTML Version.
BibRef
9101
Sugiyama, K.[Kenji],
Fujita, M.[Mitsuhiro],
Yoshida, T.[Takahiro],
Hangai, S.[Seiichiro],
Motion Compensated Frame Rate Up-Conversion for Low Frame Rate Video,
VLBV05(170-178).
Springer DOI
0509
BibRef
Sekiguchi, S.I.,
Idehara, Y.,
Sugimoto, K.,
Asai, K.,
A Low-cost Video Frame-rate Up Conversion using Compressed-domain
Information,
ICIP05(II: 974-977).
IEEE DOI
0512
BibRef
Kawaguchi, K., and
Mitra, S.,
Frame Rate Up-Conversion Considering Multiple Motion,
ICIP97(I: 727-730).
IEEE DOI
BibRef
9700
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Image Stabilization, Video Stabilization, Alignment .