2013 | OriginalPaper | Chapter
An Initial Quantization Parameter Decision Method Based on Frame Complexity with Multiple Objectives of GOP for Rate Control of H.264
Authors : Yalin Wu, Sun-Woo Ko
Published in: Grid and Pervasive Computing
Publisher: Springer Berlin Heidelberg
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In this paper, we proposed an initial quantization parameter (
QP
) decision method based on frame complexity with multiple objectives of
GOP
(Group of Pictures) for H.264 rate control algorithm. Primarily, we choose four video sequences with different characteristics to constitute a sample space and find their optimal
initial QP
s which can guarantee to generate video sequences with consistent quality by minimizing the variation of
QP
s in a
GOP
, while ensuring the minimizing actual encoding bit rate closer to the target bit rate in various bit rates. And then we calculate the spatial characteristic of tested video sequences using the proportion of the number of complex MBs in the first I-frame. The optimal
initial QP
s are represented in a two-dimensional matrix form arranged in spatial characteristic and target bit rate according to proposed selection method of optimal
initial QP
. When any video sequence is given under any target bit rate, its spatial characteristic is calculated and mapped to one of four samples through the proposed mapping method. Finally, its optimal
initial QP
is determined by picking an element of matrix according to the mapped spatial characteristic and given target bit rate. Simulation results show that the proposed method achieves more obvious consistency in objective
PSNR
s and has secured encoding bit rate than noted algorithms.