One-for-all: An efficient variable convolution neural network for in-loop filter of VVC
Recently, many researches on convolution neural network (CNN) based in-loop filters have
been proposed to improve coding efficiency. However, most existing CNN based filters tend …
been proposed to improve coding efficiency. However, most existing CNN based filters tend …
Deep learning-based video quality enhancement for the new versatile video coding
Abstract Multimedia IoT (M-IoT) is an emerging type of Internet of things (IoT) relaying
multimedia data (images, videos, audio and speech, etc.). The rapid growth of M-IoT devices …
multimedia data (images, videos, audio and speech, etc.). The rapid growth of M-IoT devices …
Joint Pixel and Frequency Feature Learning and Fusion via Channel-wise Transformer for High-Efficiency Learned In-Loop Filter in VVC
B Kathariya, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Block-based video codecs such as Versatile Video Coding (VVC)/H. 266, High Efficiency
Video Coding (HEVC)/H. 265, Advanced Video Coding (AVC)/H. 264 etc. inherently …
Video Coding (HEVC)/H. 265, Advanced Video Coding (AVC)/H. 264 etc. inherently …
Neural adaptive loop filtering for video coding: Exploring multi-hypothesis sample refinement
Adaptive loop filtering (ALF) is extensively investigated for lossy video coding to mitigate
compression noise. Numerous learning-based ALFs have emerged recently and improved …
compression noise. Numerous learning-based ALFs have emerged recently and improved …
Content-adaptive convolutional neural network post-processing filter
Neural Network (NN)-based coding techniques are being developed for hybrid video coding
schemes, such as the Versatile Video Coding (VVC) standard. In-loop filters and …
schemes, such as the Versatile Video Coding (VVC) standard. In-loop filters and …