Adaptive Interpolation/Extrapolation and Motion Vector Processing Method for Frame Rate Up Conversion

2009 ◽  
Author(s):  
Deng Hui-Ping ◽  
Yu Li ◽  
Xiong Wei ◽  
He Qing-Di ◽  
Li Rong
Keyword(s):  
Motion Vector ◽  
Processing Method ◽  
Frame Rate ◽  
Vector Processing ◽  
Adaptive Interpolation ◽  
Frame Rate Up Conversion

scholarly journals A Spatial Prediction-Based Motion-Compensated Frame Rate Up-Conversion

2019 ◽  
Vol 11 (2) ◽  
pp. 26 ◽  
Author(s):  
Yanli Li ◽  
Wendan Ma ◽  
Yue Han
Keyword(s):  
Motion Vector ◽  
Spatial Prediction ◽  
Frame Rate ◽  
Prediction Algorithm ◽  
Predictive Algorithm ◽  
Motion Vector Field ◽  
Frame Rate Up Conversion ◽  
Multimedia Internet Of Things ◽  
Basic Blocks

In Multimedia Internet of Things (IoT), in order to reduce the bandwidth consumption of wireless channels, Motion-Compensated Frame Rate Up-Conversion (MC-FRUC) is often used to support the low-bitrate video communication. In this paper, we propose a spatial predictive algorithm which is used to improve the performance of MC-FRUC. The core of the proposed algorithm is a predictive model to split a frame into two kinds of blocks: basic blocks and absent blocks. Then an improved bilateral motion estimation is proposed to compute the Motion Vectors (MVs) of basic blocks. Finally, with the spatial correlation of Motion Vector Field (MVF), the MV of an absent block is predicted based on the MVs of its neighboring basic blocks. Experimental results show that the proposed spatial prediction algorithm can improve both the objective and the subjective quality of the interpolated frame, with a low computational complexity.

A Novel Frame Rate Up-Conversion Algorithm Based on Soft Threshold Bandelet Transform

2016 ◽  
Vol 30 (07) ◽  
pp. 1650017 ◽  
Author(s):  
Mingjun Deng ◽  
Fengchun Tian ◽  
Jian Ran ◽  
Zhiyong Shi ◽  
Li Zhang
Keyword(s):  
Motion Vector ◽  
Block Matching ◽  
Frame Rate ◽  
Matching Algorithm ◽  
Block Matching Algorithm ◽  
Block Motion ◽  
Soft Threshold ◽  
Frame Rate Up Conversion ◽  
Vector Median

The most important part of frame rate up-conversion (FRUC) is block matching. The geometric properties of the image were not taken into consideration in traditional block matching algorithm, so the matching result of motion estimation cannot reach the optimal. A novel FRUC algorithm based on Bandelet was proposed in this paper. The algorithm includes: Firstly, a soft threshold Bandelet transform of matching block was performed. The optimal matching block was determined through detection of direction similarity and Bandelet coefficient similarity; secondly, vector median filtering (VMF) and overlapped block motion compensation (OBMC) were carried out by adopting motion vector to realize interpolated frame algorithm. Experimental results show that the FRUC algorithm based on Bandelet can further promote the quality of FRUC.

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