Results 1 to 10 of about 839 (127)
CNN-LNN Based Fast CU Partitioning Decision for VVC 3D Video Depth Map Intra Coding
IEEE Access, 2023 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
IEEE AccessIn 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
Electronics, 2023 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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Electronics, 2023 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
Journal of King Saud University: Computer and Information Sciences, 2023 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
IEEE Access, 2023 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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ViSTRA3:Video coding with deep parameter adaptation and post processing [PDF]
, 2021 This paper presents a deep learning-based video compression framework (ViSTRA3), which has been employed to generate compression results for the ISCAS 2022 Grand Challenge on Neural Network-based Video Coding.
Bull, David +4 more
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An Optimized Rate Control Algorithm in Versatile Video Coding for 360° Videos [PDF]
, 2022 Today, 360° video has become an integral part of people’s lives. Despite the fact that the latest generation standard Versatile Video Coding (VVC) demonstrates a significant gain in encoding capacity over High Efficiency Video Coding (HEVC), it still has
He, Liqiang +4 more
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Enhancing HDR video compression through CNN-based effective bit depth adaptation [PDF]
, 2022 It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content.
Bull, David +6 more
core +1 more source
Region-Based Template Matching Prediction for Intra Coding [PDF]
, 2023 Copy prediction is a renowned category of prediction techniques in video coding where the current block is predicted by copying the samples from a similar block that is present somewhere in the already decoded stream of samples.
Marpe, Detlev +5 more
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