Abstract
H.264 is the latest HDTV video compression standard, which provides a significant improvement in coding efficiency at the cost of huge computation complexity. Provided that discrete cosine transform coefficient(DCT) blocks can be quantized to all zeros, the process of transform and quantization on this all-zero block(AZB) can be skipped, which will reduce significant redundant computations. In this paper, a theoretical analysis is performed for the sufficient condition for AZB detection. As a result, two partial sum of absolute differences (SAD) based 4×4 AZB detection algorithm are derived. Furthermore, a quantization parameter (QP) oriented 8×8 AZB detection algorithm is proposed according to the AZB's statistical analysis. Experimental results show that the proposed algorithms outperform the previous methods in all cases and achieve major improvement of computation reduction in the range from 12.16% to 42.68% for 4×4 transform, from 4.86% to 73.55% for 8×8 transform. The computation reduction increases as the QP increases. copyright by EURASIP.
| Original language | English |
|---|---|
| Title of host publication | European Signal Processing Conference |
| Publication status | Published - 2008 |
| Event | 16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland Duration: 2008 Aug 25 → 2008 Aug 29 |
Other
| Other | 16th European Signal Processing Conference, EUSIPCO 2008 |
|---|---|
| Country | Switzerland |
| City | Lausanne |
| Period | 08/8/25 → 08/8/29 |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
Cite this
Early detection algorithms for 4×4 and 8×8 all-zero blocks in H.264/AVC. / Liu, Qin; Huang, Yiqing; Ikenaga, Takeshi.
European Signal Processing Conference. 2008.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Early detection algorithms for 4×4 and 8×8 all-zero blocks in H.264/AVC
AU - Liu, Qin
AU - Huang, Yiqing
AU - Ikenaga, Takeshi
PY - 2008
Y1 - 2008
N2 - H.264 is the latest HDTV video compression standard, which provides a significant improvement in coding efficiency at the cost of huge computation complexity. Provided that discrete cosine transform coefficient(DCT) blocks can be quantized to all zeros, the process of transform and quantization on this all-zero block(AZB) can be skipped, which will reduce significant redundant computations. In this paper, a theoretical analysis is performed for the sufficient condition for AZB detection. As a result, two partial sum of absolute differences (SAD) based 4×4 AZB detection algorithm are derived. Furthermore, a quantization parameter (QP) oriented 8×8 AZB detection algorithm is proposed according to the AZB's statistical analysis. Experimental results show that the proposed algorithms outperform the previous methods in all cases and achieve major improvement of computation reduction in the range from 12.16% to 42.68% for 4×4 transform, from 4.86% to 73.55% for 8×8 transform. The computation reduction increases as the QP increases. copyright by EURASIP.
AB - H.264 is the latest HDTV video compression standard, which provides a significant improvement in coding efficiency at the cost of huge computation complexity. Provided that discrete cosine transform coefficient(DCT) blocks can be quantized to all zeros, the process of transform and quantization on this all-zero block(AZB) can be skipped, which will reduce significant redundant computations. In this paper, a theoretical analysis is performed for the sufficient condition for AZB detection. As a result, two partial sum of absolute differences (SAD) based 4×4 AZB detection algorithm are derived. Furthermore, a quantization parameter (QP) oriented 8×8 AZB detection algorithm is proposed according to the AZB's statistical analysis. Experimental results show that the proposed algorithms outperform the previous methods in all cases and achieve major improvement of computation reduction in the range from 12.16% to 42.68% for 4×4 transform, from 4.86% to 73.55% for 8×8 transform. The computation reduction increases as the QP increases. copyright by EURASIP.
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M3 - Conference contribution
AN - SCOPUS:84863761131
BT - European Signal Processing Conference
ER -