Image Compression Model Based on Dynamic Convolution and Vision Mamba
An end‐to‐end image compression model integrates Vision Mamba and omni‐dimensional dynamic convolution. Enhancements to the variational autoencoder‐based framework improved its global information modelling. Two models, lightweight and heavyweight, are designed to compete with the methods of recent years.
Lingchen Qiu +4 more
wiley +1 more source
Low Complexity Decision Algorithm for CU Partition Based on Image Texture Information and LGBM
In order to solve the problem of insufficient compression efficiency of High-Efficiency Video coding (HEVC) in the current video market, a new generation of Versatile Video Coding (VVC) has been proposed. However, the newly added Multi-Type Tree (MTT) in
Erlin Tian, Xiaowei Qian, Qiuwen Zhang
doaj +1 more source
Low complexity rate control for versatile video coding with hybrid Lagrange multiplier [PDF]
Versatile video coding (VVC) has a notable increase in encoding efficiency over high efficiency video coding (HEVC) but bandwidth and storage are limited in real-world video applications, so rate control is crucial.
Bukit, Alexander Victor +2 more
core +2 more sources
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks
The Sample Adaptive Offset (SAO) filter has been introduced in HEVC to reduce general coding and banding artefacts in the reconstructed pictures, in complement to the De-Blocking Filter (DBF) which reduces artifacts at block boundaries specifically.
Bordes, Philippe +3 more
core +1 more source
Storage‐and‐Memory‐Efficient Learned Image Compression With Quality‐Aware Hyperprior Pruning
We propose a quality‐aware hyperprior pruning method that efficiently reduces the storage and memory cost of the hyperprior module. It consists of two parts. The first part is a hyperprior pruning method, called enhanced ResRep on hyper path, which expands a channel pruning method to fundamental components in the hyperprior module of recent learned ...
Ao Luo +4 more
wiley +1 more source
Context-Based Ternary Tree Decision Method in Versatile Video Coding for Fast Intra Coding
This paper presents a fast encoding method for versatile video coding (VVC) using an early determination scheme that skips redundant multi-type tree (MTT) pruning. MTT consists of binary and ternary trees (TTs) with traditional quadtrees and has recently
Sang-Hyo Park, Je-Won Kang
doaj +1 more source
Research on Cloud Compression Codec Technology for Remote Production
The rapid growth of the intelligent media industry has led to an increasing demand for high‐quality video in fields such as video production, digital content exchange, and the film industry, especially for 4K, 8K, and ultra‐high‐definition (UHD) content.
Yi Ke +4 more
wiley +1 more source
Sociability modifies dogs’ sensitivity to biological motion of different social relevance [PDF]
Preferential attention to living creatures is believed to be an intrinsic capacity of the visual system of several species, with perception of biological motion often studied and, in humans, it correlates with social cognitive performance.
Guo, Kun +4 more
core +2 more sources
Fast Versatile Video Coding (VVC) Intra Coding for Power-Constrained Applications
Versatile Video Coding (VVC) achieves impressive coding gain improvement (about 40%+) over the preceding High-Efficiency Video Coding (HEVC) technology at the cost of extremely high computational complexity. Such an extremely high complexity increase is a great challenge for power-constrained applications, such as Internet of video things.
Lei Chen +5 more
openaire +1 more source
Attention-based Bi-Prediction Network with Knowledge Distillation for Versatile Video Coding (VVC)
Abstract In video coding, inter bi-prediction contributes to improve the coding efficiency significantly by producing precise fused prediction block. Although block-wise bi-prediction methods, such as bi-prediction with CU-level weight (BCW), are applied in Versatile Video Coding (VVC), linear fusion-based strategy is still difficult to ...
Young-Ju Choi +5 more
openaire +1 more source

