Content-adaptive motion estimation for efficient video compression

2007 ◽  
Author(s):  
Limin Liu ◽  
Yuxin Liu ◽  
Edward J. Delp
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Adaptive Motion ◽  
Efficient Video ◽  
Content Adaptive

Motion Estimation for Content Adaptive Video Compression

2008 ◽  
Vol 18 (7) ◽  
pp. 900-909 ◽  
Author(s):  
Jiancong Luo ◽  
I. Ahmad ◽  
Yongfang Liang ◽  
V. Swaminathan
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Adaptive Video ◽  
Content Adaptive

scholarly journals Improved Logarithmic Search for Efficient Video Compression

2019 ◽  
Vol 8 (6) ◽  
pp. 2902-2906
Keyword(s):  
Motion Estimation ◽  
Reference Frame ◽  
Video Compression ◽  
Search Pattern ◽  
Reconstructed Image ◽  
Early Prediction ◽  
Macro Block ◽  
Efficient Video ◽  
New Algorithms

For efficient video compression, the BMAs should be designed and implemented in such a way that that the Motion Estimation takes very less time and will have lesser complexity. In this paper, two new algorithms namely Improved Logarithmic Search (ILS) and Zero motion predicted ILS (ZMILS) are proposed which are based on the basic idea of Three Steps Search (TSS) algorithm. In these BMA, the search pattern of proposed algorithms changes the efficiency both in terms of complications required for each macro block (MB) and quality of the compensated images. We improved the TSS and NTSS by changing the searching pattern of locations in reference frame and by adding no movement early prediction case with these algorithms we further reduced the computations. The computations required by the new developed algorithm are lesser per macro block and even 50% of few existing techniques while retaining the quality of the reconstructed image

Sign in / Sign up

Export Citation Format

Share Document