TY - JOUR
T1 - An enhanced detection algorithm for all-zero blocks in H.264 video coding
AU - Su, Chung Yen
N1 - Funding Information:
1This work was supported in part by the National Science Council, Taiwan, R.O.C., under Contract NSC-94-2213-E-003-003. C.-Y. Su is with the Institute of Applied Electronic Technology, National Taiwan Normal University, Taipei 10612, Taiwan, R.O.C. (e-mail: [email protected]). Contributed Paper Manuscript received February 9, 2006 0098 3063/06/$20.00 © 2006 IEEE
PY - 2006/5
Y1 - 2006/5
N2 - A block is called as an all-zero block (AZB) if all its transformation coefficients are quantized to be zero. Provided that an AZB can be detected early, the processes of transformation and quantization on an AZB can be omitted. This leads to significant redundant computations being skipped and thus speeds up the coding of a video sequence. In this paper, a more precise threshold value than previous methods is proposed to increase the number of AZBs detected. The threshold value is cautiously derived from relative theories and no assumption is adopted, ensuring that video quality is not degraded. A comparison to different methods on detectable ranges is graphically illustrated to show the improvement of the proposed method. The computational complexity of the proposed algorithm is analyzed. Experimental results show that the proposed algorithm outperforms the previous methods in all cases and achieves major improvement of computation reduction in the range from 4% to 71.3% compared to previous methods. The larger the quantization is, the larger the computation reduction is.
AB - A block is called as an all-zero block (AZB) if all its transformation coefficients are quantized to be zero. Provided that an AZB can be detected early, the processes of transformation and quantization on an AZB can be omitted. This leads to significant redundant computations being skipped and thus speeds up the coding of a video sequence. In this paper, a more precise threshold value than previous methods is proposed to increase the number of AZBs detected. The threshold value is cautiously derived from relative theories and no assumption is adopted, ensuring that video quality is not degraded. A comparison to different methods on detectable ranges is graphically illustrated to show the improvement of the proposed method. The computational complexity of the proposed algorithm is analyzed. Experimental results show that the proposed algorithm outperforms the previous methods in all cases and achieves major improvement of computation reduction in the range from 4% to 71.3% compared to previous methods. The larger the quantization is, the larger the computation reduction is.
KW - All-zero block
KW - Early detection
KW - Fast video encoding
KW - H.264
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U2 - 10.1109/TCE.2006.1649685
DO - 10.1109/TCE.2006.1649685
M3 - Article
AN - SCOPUS:33747020473
SN - 0098-3063
VL - 52
SP - 598
EP - 605
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
IS - 2
ER -