Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/14286,
  title    = {Transform-Domain Rate-Distortion Optimization Accelerator for H.264/AVC Video Encoding},
  author    = {Mohammed Golam Sarwer and  Lai Man Po and  Kai Guo and  Q.M. Jonathan Wu},
  country   = {},
  institution={},
  abstract  = {In H.264/AVC video encoding, rate-distortion
optimization for mode selection plays a significant role to achieve
outstanding performance in compression efficiency and video quality.
However, this mode selection process also makes the encoding
process extremely complex, especially in the computation of the ratedistortion
cost function, which includes the computations of the sum
of squared difference (SSD) between the original and reconstructed
image blocks and context-based entropy coding of the block. In this
paper, a transform-domain rate-distortion optimization accelerator
based on fast SSD (FSSD) and VLC-based rate estimation algorithm
is proposed. This algorithm could significantly simplify the hardware
architecture for the rate-distortion cost computation with only
ignorable performance degradation. An efficient hardware structure
for implementing the proposed transform-domain rate-distortion
optimization accelerator is also proposed. Simulation results
demonstrated that the proposed algorithm reduces about 47% of total
encoding time with negligible degradation of coding performance.
The proposed method can be easily applied to many mobile video
application areas such as a digital camera and a DMB (Digital
Multimedia Broadcasting) phone.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {3},
  number    = {11},
  year      = {2009},
  pages     = {2083 - 2093},
  ee        = {http://waset.org/publications/14286},
  url       = {http://waset.org/Publications?p=35},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 35, 2009},
}