Geometry-based spherical JND modeling for 360$^\circ$ display
, 2023 360$^\circ$ videos have received widespread attention due to its realistic and immersive experiences for users. To date, how to accurately model the user perceptions on 360$^\circ$ display is still a challenging issue.
Chen, Bo +5 more
core
Efficient VVC Intra Prediction Based on Deep Feature Fusion and Probability Estimation
, 2022 The ever-growing multimedia traffic has underscored the importance of effective multimedia codecs. Among them, the up-to-date lossy video coding standard, Versatile Video Coding (VVC), has been attracting attentions of video coding community.
Feng, Weize +4 more
core
Low cost ground receiving systems for television signals from high-powered communications satellites. Volume 2: Parts list and engineering drawings [PDF]
Parts lists for the 2.25 GHz indoor- and antenna-unit assemblies are followed by drawings that constitute the drafting package for three converter types and the tunnel diode ...
Hesler, J. P. +2 more
core +1 more source
COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec
, 2022 We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with approximately 2000 parameters and 2500 multiplications per decoded pixel.
Clare, Gordon +3 more
core
NeurJSCC Enabled Semantic Communications: Paradigms, Applications, and Potentials
, 2023 Recent advances in deep learning have led to increased interest in solving high-efficiency end-to-end transmission problems using methods that employ the nonlinear property of neural networks. These techniques, we call neural joint source-channel coding (
Dai, Jincheng +4 more
core
Spatio-Temporal Convolutional Neural Network for Enhanced Inter Prediction in Video Coding [PDF]
This paper presents a convolutional neural network (CNN)-based enhancement to inter prediction in Versatile Video Coding (VVC). Our approach aims at improving the prediction signal of inter blocks with a residual CNN that incorporates spatial and ...
Marpe, Detlev +5 more
core +1 more source
Video compression dataset and benchmark of learning-based video-quality metrics
, 2022 Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metrics that serve as optimization ...
Antsiferova, Anastasia +5 more
core
Unveiling the Art of Video Enhancement: A Comprehensive Examination of Content Selection and Sequencing for Optimal Quality in Conventional and AR/VR Environments [PDF]
The demand for high-quality video content has grown along with the rise of new technologies. The quality of visual content directly impacts user engagement and satisfaction, highlighting a clear correlation between user expectations and content delivery.
Dawid Juszka +2 more
core +1 more source
CARNet:Compression Artifact Reduction for Point Cloud Attribute
, 2022 A learning-based adaptive loop filter is developed for the Geometry-based Point Cloud Compression (G-PCC) standard to reduce attribute compression artifacts.
Ding, Dandan +3 more
core