Fast CU Decision Algorithm Based on Texture Complexity and CNN for VVC
ieeexplore.ieee.org › document
Apr 10, 2023 · Therefore, this paper uses a fast CU partitioning decision algorithm based on texture complexity and convolutional neural networks (CNN). First, ...
Apr 13, 2023 · Therefore, this paper uses a fast CU partitioning decision algorithm based on texture complexity and convolutional neural networks (CNN). First,.
Apr 10, 2023 · Versatile Video Coding (VVC) introduces many advanced video coding techniques. These advanced video coding techniques not only improve video ...
Therefore, we propose a fast CU partition decision algorithm based on DenseNet network and decision tree (DT) classifier to reduce the coding complexity of VVC ...
Fast CU Partitioning Algorithm for VVC Based on CNN and FSVM. The new coding standard Versatile Video Coding (VVC) introduces additional encoding techniques ...
Jul 7, 2023 · Therefore, we propose a fast CU partition decision algorithm based on DenseNet network and decision tree (DT) classifier to reduce the coding ...
The algorithm uses texture features and decision trees to efficiently determine CU partitioning. The algorithm can be summarized as follows: firstly, a ...
Sep 5, 2022 · The proposed algorithm can reduce the encoding complexity of the QTMT module by apply- ing the ETH-CNN to predict the QT depth instead of the ...
The proposed algorithm determines the QTMT partition structure based on the decision of whether to split or skip the corresponding CU, in order to get \(128\ ...
A fast algorithm based on texture complexity and directional energy ... A fast texture-based CU partition decision algorithm is proposed in this paper.