Structural motion estimation via Hilbert transform enhanced phase-based video processing

2022 ◽  
Vol 166 ◽  
pp. 108418
Author(s):  
G. Liu ◽  
M.Z. Li ◽  
Z. Mao ◽  
Q.S. Yang
2019 ◽  
Vol 36 (6) ◽  
pp. 5989-5999
Author(s):  
Hussain Ahmed Choudhury ◽  
Nidul Sinha ◽  
Monjul Saikia

2013 ◽  
Vol 30 (1) ◽  
pp. 24 ◽  
Author(s):  
Anand Paul ◽  
K Bharanitharan ◽  
JiaJi Wu

2016 ◽  
Vol 25 (09) ◽  
pp. 1650114
Author(s):  
Rohan Mukherjee ◽  
Vikrant Mahajan ◽  
Anindya Sundar Dhar ◽  
Indrajit Chakrabarti

Motion estimation (ME) accounts for the major part of computational complexity of any video coding standard. The diamond search (DS) algorithm is widely used as a fast search technique to perform motion estimation. In this paper, a novel architecture for the diamond search technique is proposed that efficiently handles memory addressing and reduces hardware complexity. The proposed architecture meets the speed requirements for real-time video processing without compromising the area. The design when implemented in Verilog HDL on Virtex-5 technology and synthesized using Xilinx ISE Design Suite 12.4, gives rise to a critical path delay of 3.25 ns and the equivalent area is calculated to be 3.5[Formula: see text]K gate equivalent. Working at a frequency of 308 MHz, the proposed design can process 128 CIF frames per second. So, the proposed architecture can be incorporated in a video codec targeted for commercial devices like smart-phones, camcorders and video conferencing system.


Motion estimation of a target is the major area with higher computational complexity in video processing. It is the progression of discovery the motion patterns that describe the transformation from one frame to another in a sequence of video. Therefore, it is reasonable to carry out motion estimation only where movement is present. Image data in an image series remains mostly the same between frames along the target motion. To make use of the image statistics redundancy in image sequences, there is a need to guess motion. Motion estimation is valid for video compression improvement, stereo correspondence, object tracking and finding optical flow. Many precise methods have been proposed in the framework of one or more of these applications. Most motion estimation algorithms either operate directly in the image domain or finding the similar metric that measures how alike two pixels or two patches of pixels. In this paper, a review of a variety of motion estimation technique is presented


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