Semi-fixed-length motion vector coding for H.263-based low bit rate video compression

1999 ◽  
Vol 8 (10) ◽  
pp. 1451-1455 ◽  
Author(s):  
G. Cote ◽  
M. Gallant ◽  
F. Kossentiai
Keyword(s):  
Video Compression ◽  
Motion Vector ◽  
Bit Rate ◽  
Vector Coding ◽  
Low Bit Rate ◽  
Fixed Length

A robust, scalable, object-based video compression technique for very low bit-rate coding

1997 ◽  
Vol 7 (1) ◽  
pp. 221-233 ◽  
Author(s):  
R. Talluri ◽  
K. Oehler ◽  
T. Barmon ◽  
J.D. Courtney ◽  
A. Das ◽  
...  
Keyword(s):  
Video Compression ◽  
Bit Rate ◽  
Compression Technique ◽  
Low Bit Rate ◽  
Object Based ◽  
Rate Coding

Postprocessing for very low bit-rate video compression

1999 ◽  
Vol 8 (8) ◽  
pp. 1125-1129 ◽  
Author(s):  
J.G. Apostolopoulos ◽  
N.S. Jayant
Keyword(s):  
Video Compression ◽  
Bit Rate ◽  
Low Bit Rate

scholarly journals RGB Medical Video Compression Using Geometric Wavelet

2016 ◽  
Vol 6 (4) ◽  
pp. 1627
Author(s):  
Yassine Habchi ◽  
Beladgham Mohammed ◽  
Taleb Ahmed Abdelmalik
Keyword(s):  
Wavelet Transform ◽  
Optical Flow ◽  
Video Compression ◽  
Experimental Results ◽  
Bit Rate ◽  
Quadtree Decomposition ◽  
Low Bit Rate ◽  
High Efficient ◽  
Medical Domain ◽  
Spiht Algorithm

The video compression is used in a wide of applications from medical domain especially in telemedicine. Compared to the classical transforms, wavelet transform has significantly better performance in horizontal, vertical and diagonal directions. Therefore, this transform introduces high discontinuities in complex geometrics. However, to detect complex geometrics is one key challenge for the high efficient compression. In order to capture anisotropic regularity along various curves a new efficient and precise transform termed by bandelet basis, based on DWT, quadtree decomposition and optical flow is proposed in this paper. To encode significant coefficients we use efficient coder SPIHT. The experimental results show that the proposed algorithm DBT-SPIHT for low bit rate (0.3Mbps) is able to reduce up to 37.19% and 28.20% of the complex geometrics detection compared to the DWT-SPIHT and DCuT-SPIHT algorithm.

Sign in / Sign up

Export Citation Format

Share Document