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Low Complexity Transform and Quantization in H.264/AVC

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Low Complexity Transform and Quantization in H.264/AVC Speaker: Pei-cheng Huang 2005/6/2 Outline Introduction to transform and quantization in H.264 Details of ... – PowerPoint PPT presentation

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Title: Low Complexity Transform and Quantization in H.264/AVC


1
Low Complexity Transform and Quantization in
H.264/AVC
  • Speaker Pei-cheng Huang
  • 2005/6/2

2
Outline
  • Introduction to transform and quantization in
    H.264
  • Details of transform procedure
  • Details of quantization procedure

3
Reference
  • Henrique S. Malvar, Antti Hallapuro, Marta
    Karczewicz, and Louis Kerofsky, Low-Complexity
    Transform and Quantization in H.264/AVC, IEEE
    Transactions on Circuits and Systems for Video
    Technology, Vol. 13, No. 7, July 2003
  • Iain E. G. Richardson, H.264 and MPEG-4 Video
    Compression, Wiley, 2003, ISBN 0-470-84837-5

4
H.264 block diagram
5
Transform procedure in H.264
  • Discrete Cosine Transform (DCT)
  • 4x4

6
Implementation problems
  • How to express real numbers?
  • System complexity

7
DCT
8
DCT
Cosines in real number format
Orthogonal matrix H-1 HT
9
Fixed point DCT in TML
  • Very similar to original DCT
  • Orthogonal rows
  • Constant row norm
  • Higher dynamic range
  • Max value of Hx 52A

10
Fixed point DCT in H.264
  • Also has orthogonal rows
  • Non-constant row norm

11
Dynamic range of low complexity DCT
  • Max value of DCT coefficients 6A

12
Inverse Transform
  • Max value of DCT coefficients 4A

13
Influence of non-constant row norm
14
Cancel the scale factors
15
Low complexity DCT butterfly diagram
16
Quantization
0
1.0
2.0
17
Avoid divisions
18
Quantization in H.264
19
Performance
  • Coding gain 5.39 dB --gt 5.38 dB
  • PSNR 0.01 dB loss
  • Significantly lower complexity
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