Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost
Author:
Affiliation:
1. Huazhong Univ. of Sci. & Tech.,School of Electron. Inf. & Commun.,Wuhan,Hubei,China,430074
Funder
NSFC
Natural Science Foundation of Hubei Province
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9810654/9810655/09810663.pdf?arnumber=9810663
Reference21 articles.
1. Fast 3D-HEVC Depth Map Encoding Using Machine Learning
2. Efficient quadtree coding of images and video
3. Initialization, limitation, and predictive coding of the depth and texture quadtree in 3D-HEVC;mora;IEEE Trans Circuits Syst Video Technol,2013
4. Fast depth map mode decision based on depth–texture correlation and edge classification for 3D-HEVC
5. A 3D-HEVC Fast Mode Decision Algorithm for Real-Time Applications
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1. Fast partition algorithm in depth map intra coding unit based on multi-deep convolution neural network;Journal of Real-Time Image Processing;2024-01-23
2. Efficient CU Decision Algorithm for VVC 3D Video Depth Map Using GLCM and Extra Trees;Electronics;2023-09-17
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