Results 1 to 10 of about 151 (90)
CNN-LNN Based Fast CU Partitioning Decision for VVC 3D Video Depth Map Intra Coding
Currently, the coding efficacy of the cutting-edge video coding standard H.266/VVC surpasses that of 3D-HEVC (3D-High Efficiency Video Coding), but the existing VVC (Versatile Video Coding) low-complexity coding algorithm is mainly optimized for 2D video
Fengqin Wang, Zhiying Wang, Qiuwen Zhang
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CU Split Method Based on Adaptive CNN and Gradient Matrix for VVC 3D Video Depth Map
In the digital age, people’s demand for 3D videos is becoming increasingly strong. Nowadays, the 3D-HEVC video coding standard is far from meeting people’s needs.
Lina Si, Aohui Yan, Qiuwen Zhang
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Efficient CU Decision Algorithm for VVC 3D Video Depth Map Using GLCM and Extra Trees
The new generation of 3D video is an international frontier research hotspot. However, the large amount of data and high complexity are core problems to be solved urgently in 3D video coding. The latest generation of video coding standard versatile video coding (VVC) adopts the quad-tree with nested multi-type tree (QTMT) partition structure, and the ...
Fengqin Wang, Zhiying Wang, Qiuwen Zhang
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As many new coding techniques and coding structures have been introduced to further improve the coding efficiency of depth maps in 3D video extensions, the coding complexity has been greatly increased. Fast algorithms are now needed to improve coding unit (CU) depth decisions as well as the coding pattern decision based on the coding.
Wenjun Song, Guanxin Li, Qiuwen Zhang
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A robust VVC video encryption scheme based on the dynamical chaotification model
With the considerable surge of video assets, the demand for video content security has undergone substantial growth. Since the advent of H.264/AVC and H.265/HEVC, selective encryption algorithms (SEAs) have become a focus.
Chen Chen, Xingjun Wang, Jinghan Xu
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Lenslet Image Coding With SAIs Synthesis via 3D CNNs-Based Reinforcement Learning With a Rate Reward
The deep learning-based coding schemes for lenslet images combine coding standards and view synthesis through Deep Learning (DL) models, where the compression efficiency is heavily influenced by the coding structure and quality of synthesized views.
Xiaoda Zhong +3 more
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Optimization of Depth Map Intra Coding Algorithms Based on Machine Learning
As a cutting-edge field of global research, 3D video technology faces the dual challenges of large data volumes and high processing complexity. Although the most recent video coding standard VVC, surpasses HEVC in coding efficiency, dedicated research on
Wenjun Song, Jiaying Yang, Qiuwen Zhang
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As the demand for higher quality 3D videos continues to grow, the 3D extensions of the Efficient Video Coding (3D-HEVC) standard are gradually unable to meet the needs of users. Versatile Video Coding Standard (H.
Lina Si, Aohui Yan, Qiuwen Zhang
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Multi-Scale Contextual Coding for Human-Machine Vision of Volumetric Medical Images
In recent years, the continuous advancement of digital technologies such as telemedicine and medical cloud computing has promoted collaborative research and diagnosis across multiple medical centers.
Jietao Chen +3 more
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Intra Prediction Method for Depth Video Coding by Block Clustering through Deep Learning. [PDF]
Lee DS, Kwon SK.
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