Motion Compensated Frame Rate Up-Conversion for Low Frame Rate Video

Visual Content Processing and Representation - Lecture Notes in Computer Science ◽

10.1007/11738695_23 ◽

2006 ◽

pp. 170-178 ◽

Cited By ~ 1

Author(s):

Kenji Sugiyama ◽

Mitsuhiro Fujita ◽

Takahiro Yoshida ◽

Seiichiro Hangai

Keyword(s):

Frame Rate ◽

Frame Rate Up Conversion ◽

Low Frame Rate

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Spatio-Temporal Convolutional Neural Network for Frame Rate Up-Conversion

Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence - ISMSI 2019 ◽

10.1145/3325773.3325777 ◽

2019 ◽

Author(s):

Yusuke Tanaka ◽

Toshiaki Omori

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Frame Rate ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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Frame rate up-conversion based on matching classification and dominant object tracking

2009 IEEE International Conference on Network Infrastructure and Digital Content ◽

10.1109/icnidc.2009.5360884 ◽

2009 ◽

Cited By ~ 1

Author(s):

Zhilong Zhang ◽

Danpu Liu ◽

Huarui Wu

Keyword(s):

Object Tracking ◽

Frame Rate ◽

Frame Rate Up Conversion

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Multi-Channel Mixed-Pattern Based Frame Rate Up-Conversion Using Spatio-Temporal Motion Vector Refinement and Dual-Weighted Overlapped Block Motion Compensation

Journal of Display Technology ◽

10.1109/jdt.2014.2334598 ◽

2014 ◽

Vol 10 (12) ◽

pp. 1010-1023 ◽

Cited By ~ 8

Author(s):

Ran Li ◽

Zongliang Gan ◽

Ziguan Cui ◽

Guijin Tang ◽

Xiuchang Zhu

Keyword(s):

Motion Compensation ◽

Motion Vector ◽

Frame Rate ◽

Block Motion ◽

Spatio Temporal ◽

Frame Rate Up Conversion ◽

Mixed Pattern

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Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model

Lecture Notes in Computer Science - Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 ◽

10.1007/978-3-030-32245-8_78 ◽

2019 ◽

pp. 705-713

Author(s):

Fatemeh Taheri Dezaki ◽

Hany Girgis ◽

Robert Rohling ◽

Ken Gin ◽

Purang Abolmaesumi ◽

...

Keyword(s):

Frame Rate ◽

Variational Autoencoder ◽

Frame Rate Up Conversion ◽

Adversarial Model

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A new motion estimation algorithm based on space relation for frame rate up conversion

IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011) ◽

10.1049/cp.2011.0841 ◽

2011 ◽

Author(s):

Xuewei Chen ◽

Chunchun Chen ◽

E. Yang

Keyword(s):

Motion Estimation ◽

Estimation Algorithm ◽

Frame Rate ◽

Motion Estimation Algorithm ◽

Frame Rate Up Conversion

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People Detection and Tracking in Low Frame-rate Dynamic Scenes

IEEE Latin America Transactions ◽

10.1109/tla.2016.7483541 ◽

2016 ◽

Vol 14 (4) ◽

pp. 1966-1971 ◽

Cited By ~ 1

Author(s):

D.L. Siqueira ◽

A. M. C. Machado

Keyword(s):

Frame Rate ◽

Dynamic Scenes ◽

People Detection ◽

Detection And Tracking ◽

Low Frame Rate ◽

Rate Dynamic

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Improved HEVC video compression algorithm using low-complexity frame rate up conversion

Journal of Electronic Imaging ◽

10.1117/1.jei.30.3.033015 ◽

2021 ◽

Vol 30 (03) ◽

Author(s):

Hongwei Lin ◽

Xiangqun Li ◽

Mingliang Gao ◽

Tao Li

Keyword(s):

Video Compression ◽

Low Complexity ◽

Compression Algorithm ◽

Frame Rate ◽

Frame Rate Up Conversion

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Modified Adaptive Extended Bilateral Motion Estimation with Scene Change Detection for Motion Compensated Frame Rate Up-Conversion

Advances in Visual Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-14364-4_54 ◽

2014 ◽

pp. 559-567

Author(s):

Daejun Park ◽

Jechang Jeong

Keyword(s):

Motion Estimation ◽

Change Detection ◽

Frame Rate ◽

Scene Change ◽

Scene Change Detection ◽

Frame Rate Up Conversion

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Multi-sperm tracking using Hungarian Kalman Filter on low frame rate video

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) ◽

10.1109/icacsis.2016.7872796 ◽

2016 ◽

Cited By ~ 2

Author(s):

Grafika Jati ◽

Alexander A S Gunawan ◽

Silvia Werdhy Lestari ◽

Wisnu Jatmiko ◽

M H Hilman

Keyword(s):

Kalman Filter ◽

Frame Rate ◽

Low Frame Rate

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A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields

2011 IEEE International Symposium on Multimedia ◽

10.1109/ism.2011.44 ◽

2011 ◽

Author(s):

M.J. Shafiee ◽

Z. Azimifar ◽

A. Wong ◽

P. Fieguth

Keyword(s):

Hierarchical Model ◽

Random Fields ◽

Conditional Random Fields ◽

Frame Rate ◽

Model Based ◽

Spatio Temporal ◽

Frame Rate Up Conversion

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