Optimal adaptive bitrate (ABR) decision depends on a comprehensive
chara...
Most of the learning-based algorithms for bitrate adaptation are limited...
Contemporary real-time video communication systems, such as WebRTC, use ...
Content providers increasingly replace traditional constant bitrate with...
Existing implicit neural representation (INR) methods do not fully explo...
In the realm of short video streaming, popular adaptive bitrate (ABR)
al...
Effective Adaptive BitRate (ABR) algorithm or policy is of paramount
imp...
This work extends the Multiscale Sparse Representation (MSR) framework
d...
Conventional cameras capture image irradiance on a sensor and convert it...
A learning-based adaptive loop filter is developed for the Geometry-base...
Recent work has shown a strong theoretical connection between variationa...
Although convolutional representation of multiscale sparse tensor
demons...
High-speed, high-resolution stereoscopic (H2-Stereo) video allows us to
...
Questing for lossy image coding (LIC) with superior efficiency on both
c...
Image signal processing (ISP) is crucial for camera imaging, and neural
...
The event camera is a bio-vision inspired camera with high dynamic range...
Deep neural network based image compression has been extensively studied...
This study develops a unified Point Cloud Geometry (PCG) compression met...
A Transformer-based Image Compression (TIC) approach is developed which
...
Recent years have witnessed rapid advances in learnt video coding. Most
...
Adaptive Bit Rate (ABR) decision plays a crucial role for ensuring
satis...
This paper reviews the first NTIRE challenge on quality enhancement of
c...
The present work concerns the transferability of coarse-grained (CG) mod...
Modeling a high-dimensional Hamiltonian system in reduced dimensions wit...
We present a data-driven nonintrusive model order reduction method for
d...
Distortion quantification of point clouds plays a stealth, yet vital rol...
Inspired by the facts that retinal cells actually segregate the visual s...
Recent years have witnessed the growth of point cloud based applications...
Over the past two decades, traditional block-based video coding has made...
We propose the GraphSIM – an objective metric to accurately predict the
...
The Object-Based Image Coding (OBIC) that was extensively studied about ...
Image compression is one of the most fundamental techniques and commonly...
Traditional video compression technologies have been developed over deca...
This paper presents a dual camera system for high spatiotemporal resolut...
This paper presents a novel end-to-end Learned Point Cloud Geometry
Comp...
Networked video applications, e.g., video conferencing, often suffer fro...
This paper proposes a novel Non-Local Attention Optimized Deep Image
Com...
We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
We present a lossy image compression method based on deep convolutional
...
Conventional images/videos are often rendered within the central vision ...
Immersive video offers the freedom to navigate inside virtualized
enviro...