Fast stepwise all zero block detection algorithm for H.266/VVC

被引：0

作者：

Niu W.-H. ^{[1
]}

Huang X.-F. ^{[1
,3
]}

Qi W. ^{[1
]}

Yin H.-B. ^{[1
]}

Yan C.-G. ^{[2
]}

机构：

[1] College of Communication Engineering, Hangzhou Dianzi University, Hangzhou

[2] College of Automation, Hangzhou Dianzi University, Hangzhou

[3] Advanced Institute of Information Technology, Peking University, Hangzhou

来源：

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2022年 / 56卷 / 07期

关键词：

all zero block; fully connected neural network (FCNN); hard decision quantization; quantization parameter;

D O I：

10.3785/j.issn.1008-973X.2022.07.003

中图分类号：

学科分类号：

摘要：

A fast algorithm for all zero block detection was proposed in order to reduce the computational complexity. A fixed threshold was derived based on the hard decision quantization formula in order to detect genuine all zero blocks. Pseudo all zero blocks were further detected by the adaptive threshold related to the transform block size and quantization parameter (QP). The decision was made based on the fully connected neural network (FCNN) for the remaining blocks by extracting eight features that were closely related to the result of quantization. The experimental results showed that the proposed fast algorithm achieved up to 7.382% and 7.237% coding complexity saving under Low Delay B and Random Access configurations with only 0.458% and 0.575% performance loss on average, respectively. © 2022 Zhejiang University. All rights reserved.

引用

页码：1285 / 1293+1319

共 21 条

[1] BROSS B, WANG Y K, YE Y, Et al., Overview of the versatile video coding (VVC) standard and its applications, IEEE Transactions on Circuits and Systems for Video Technology, 31, 10, pp. 3736-3764, (2021)
[2] SULLIVAN G J, OHM J R, HAN W J, Et al., Overview of the high efficiency video coding (HEVC) standard, IEEE Transactions on Circuits and Systems for Video Technology, 22, 12, pp. 1649-1668, (2012)
[3] ZHANG Z B, ZHAO X, LI X, Et al., Fast adaptive multiple transform for versatile video coding, 2019 Data Compression Conference, pp. 63-72, (2019)
[4] HONG Z, LIN J C, JIANG D, Et al., Improve the efficiency of low frequency non-separable secondary transform based on implicit multiple transform selection, 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, pp. 148-151, (2019)
[5] CHEN J, YE Y, KIM S., Algorithm description for versatile video coding and test model 10 (VTM 10.0)
[6] SULLIVAN G., Adaptive quantization encoding technique using an equal expected-value rule
[7] WEN J T, LUTTRELL M, VILLASENOR J., Trellis-based RD optimal quantization in H.263+, IEEE Transactions on Image Processing, 9, 8, pp. 1431-1434, (2000)
[8] KARCZEWICZ M, YE Y, CHONG I., Rate distortion optimized quantization
[9] WANG M, WANG S Q, LI J R, Et al., Low complexity trellis-coded quantization in versatile video coding, IEEE Transactions on Image Processing, 30, pp. 2378-2393, (2021)
[10] WIEGAND T, SULLIVAN G J, BJONTEGAARD G, Et al., Overview of the H. 264/AVC video coding standard, IEEE Transactions on Circuits and Systems for Video Technology, 13, 7, pp. 560-576, (2003)

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