Name
Title | ||
|---|---|---|
An efficient all zero block detection algorithm based on frequency characteristics of DCT in HEVC |
Abstract | ||
|---|---|---|
Like the previous video coding standard, DCT and quantization are also adopted in HEVC. Compared with H.264/AVC, HEVC employs larger transform blocks, which makes the all zero block detection algorithm designed for H.264/AVC inefficient for HEVC. An efficient all zero block detection algorithm aimed at HEVC, especially for 16×16 and 32×32 transform blocks, is proposed in this paper based on frequency characteristics of DCT. By analysing the distribution of residual energy in frequency domain, Hadamard transform is used to evaluate only a part of DCT coefficients which usually consume most of energy. To make the proposed algorithm efficient in complex sequences, a sum of absolute transformed difference based method is used to evaluate the maximum value of the rest of the coefficients. Experimental results show that more than 90% all zero blocks for 4×4, 8×8 and 16×16 transform blocks and about 80% for 32×32 transform blocks can be detected by the proposed algorithm. In addition, about 50% computational complexity in DCT/quantization can be reduced with negligible loss of video quality and compression efficiency. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/VCIP.2015.7457825 | 2015 Visual Communications and Image Processing (VCIP) |
Keywords | Field | DocType |
HEVC,DCT,all zero block,Hadamard transform,sum of absolute transformed difference | Macroblock,Algorithm design,Lapped transform,Computer science,Discrete cosine transform,Algorithm,Theoretical computer science,Trellis quantization,Sum of absolute transformed differences,Quantization (signal processing),Hadamard transform | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henglu Wei | 1 | 6 | 4.16 |
| Wei Zhou | 2 | 5 | 2.82 |
| Xin Zhou | 3 | 7 | 1.87 |
| Zhemin Duan | 4 | 61 | 5.71 |