Enhanced motion compensated frame interpolation using object layer inference

2011 ◽  
Vol 47 (1) ◽  
pp. 26
Author(s):  
T.-S. Wang ◽  
K.-S. Choi ◽  
H.-S. Jang ◽  
S.-J. Ko
Keyword(s):  
Frame Interpolation ◽  
Motion Compensated Frame Interpolation ◽  
Object Layer

Detection of motion compensated frame interpolation via motion-aligned temporal difference

2018 ◽  
Vol 78 (6) ◽  
pp. 7453-7477 ◽  
Author(s):  
Xiangling Ding ◽  
Yue Li ◽  
Ming Xia ◽  
Jiale He ◽  
Gaobo Yang
Keyword(s):  
Temporal Difference ◽  
Frame Interpolation ◽  
Motion Compensated Frame Interpolation

scholarly journals Motion-Compensated Frame Interpolation Using Cellular Automata-Based Motion Vector Smoothing

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ran Li ◽  
Ying Yin ◽  
Fengyuan Sun ◽  
Yanling Li ◽  
Lei You
Keyword(s):  
Cellular Automata ◽  
Motion Vector ◽  
Video Sequences ◽  
Frame Interpolation ◽  
Temporal Domain ◽  
Video Frames ◽  
Motion Compensated Frame Interpolation ◽  
Motion Vector Field ◽  
The Common ◽  
Temporal Symmetry

Motion-Compensated Frame Interpolation (MCFI) is one of the common temporal-domain tamper operations, and it is used to produce faked video frames for improving the visual qualities of video sequences. The instability of temporal symmetry results in many incorrect Motion Vectors (MVs) for Bidirectional Motion Estimation (BME) in MCFI. The existing Motion Vector Smoothing (MVS) works often oversmooth or revise correct MVs as wrong ones. To overcome this problem, we propose a Cellular Automata-based MVS (CA-MVS) algorithm to smooth the Motion Vector Field (MVF) output by BME. In our work, a cellular automaton is constructed to deduce MV outliers according to a defined local evolution rule. By performing CA-based evolution in a loop iteration, we gradually expose MV outliers and reduce incorrect MVs resulting from oversmoothing as many as possible. Experimental results show the proposed algorithm can improve the accuracy of BME and provide better objective and subjective interpolation qualities when compared with the traditional MVS algorithms.

Motion-compensated frame interpolation using patch-based sparseland model

2017 ◽  
Vol 54 ◽  
pp. 36-48 ◽  
Author(s):  
Ran Li ◽  
Hongbing Liu ◽  
Zhenghui Liu ◽  
Yanling Li ◽  
Zhangjie Fu
Keyword(s):  
Frame Interpolation ◽  
Motion Compensated Frame Interpolation
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