A UNIFIED AND COMPLEXITY SCALABLE ENTROPY CODING SCHEME FOR VIDEO COMPRESSION

被引：0

作者：

Preiss, Matthias ^{[1
]}

Marpe, Detlev ^{[1
]}

Bross, Benjamin ^{[1
]}

George, Valeri ^{[1
]}

Kirchhoffer, Heiner ^{[1
]}

Tung Nguyen ^{[1
]}

Siekmann, Mischa ^{[1
]}

Stegemann, Jan ^{[1
]}

Wiegand, Thomas ^{[1
]}

机构：

[1] Fraunhofer Inst Telecommun, Heinrich Hertz Inst, Image Proc Dept, D-10587 Berlin, Germany

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Entropy Coding; PIPE/V2V; CABAC;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

The state-of-the-art hybrid video coding standard H. 264/AVC defines two entropy-coding schemes with different complexity-performance trade-offs. Supporting these two schemes within a single standard raises several problems ranging from higher efforts for product development to increased silicon costs for hardware implementations. To overcome these issues, this work proposes a unified and complexity-scalable entropy-coding framework that is based on PIPE/V2V. The proposed framework uses a single set of tools for all configurations and achieves the same complexity-performance trade-offs as the existing entropy-coding schemes through scalability.

引用

页码：729 / 732

页数：4

共 50 条

[1] Efficient entropy coding scheme for H 264/AVC lossless video coding
Kim, Seung-Hwan
Heo, Jin
Ho, Yo-Sung
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2010, 25 (09) : 687 - 696
[2] Conditional entropy coding of DCT coefficients for video compression
Sipitca, M
Gillman, D
IMAGE AND VIDEO COMMUNICATIONS AND PROCESSING 2000, 2000, 3974 : 144 - 152
[3] Lossless Video Compression Using Bayesian Networks and Entropy Coding
Venkat, Rochan Avlur
Vaidyanathan, Chandrasekar
PROCEEDINGS OF 2019 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2019, : 254 - 259
[4] TOWARDS PREDICTOR, QUANTIZER AND ENTROPY CODER OPTIMALITY IN SCALABLE VIDEO CODING
Han, Jingning
Rose, Kenneth
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 721 - 724
[5] HDVC: Deep Video Compression With Hyperprior-Based Entropy Coding
Hu, Yusong
Jung, Cheolkon
Qin, Qipu
Han, Jiang
Liu, Yang
Li, Ming
IEEE ACCESS, 2024, 12 : 17541 - 17551
[6] Quantization and Entropy Coding Scheme for Dictionary Learning Based Image Compression
Wang Juan
Tao Xiaoming
Liu Xijia
Ge Ning
Lu Jianhua
2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2016,
[7] Split field coding: low complexity, error-resilient entropy coding for image compression
Meany, James J.
Martens, Christopher J.
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXI, 2008, 7073
[8] An enhanced entropy coding scheme for HEVC
Gao, Min
Fan, Xiaopeng
Zhao, Debin
Gao, Wen
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2016, 44 : 108 - 123
[9] Joint image compression–encryption scheme using entropy coding and compressive sensing
Yanjie Song
Zhiliang Zhu
Wei Zhang
Li Guo
Xue Yang
Hai Yu
Nonlinear Dynamics, 2019, 95 : 2235 - 2261
[10] Joint image compression-encryption scheme using entropy coding and compressive sensing
Song, Yanjie
Zhu, Zhiliang
Zhang, Wei
Guo, Li
Yang, Xue
Yu, Hai
NONLINEAR DYNAMICS, 2019, 95 (03) : 2235 - 2261

← 1 2 3 4 5 →