Selective Timewarp Based on Embedded Motion Vectors for Interactive Cloud Virtual Reality
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2888700
Abstract: Interactive virtual reality (VR) services such as VR gaming require considerable computing power for rendering higher quality VR images at a high frame rate. Thus offloading such VR processing to a cloud or edge computing… read more here.
Keywords: head locked; locked objects; head; virtual reality ... See more keywords
HEVC Video Encryption With High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152548
Abstract: A high capacity message embedding in encrypted HEVC video is proposed in this paper. The challenges addressed in this paper include keeping the encrypted video compliant with standardized decoders, correctly decrypting the video and finally,… read more here.
Keywords: message; motion vectors; hevc video; message embedding ... See more keywords
Does AGRI of FY4A Have the Ability to Capture the Motions of Precipitation?
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3130646
Abstract: Calculating the motion vectors based on the infrared observations can complement the gaps of the passive microwave and radar observations. So, it is an essential step in numerical weather models and other meteorological applications. FengYun-4A… read more here.
Keywords: ability; motion vectors; capture; agri fy4a ... See more keywords
A Novel Video Steganographic Scheme Incorporating the Consistency Degree of Motion Vectors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3135384
Abstract: In this letter, a novel steganographic scheme in motion vector domain (MV) for H.264 video is presented, which can significantly improve the security performance against the newly emerged powerful multi-domain feature set MVC (motion vector… read more here.
Keywords: consistency; motion; motion vectors; steganographic scheme ... See more keywords
Neural Temporal Denoising for Indirect Illumination.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3217305
Abstract: Various temporal denoising methods have been proposed to clean up the noise for real-time ray tracing (RTRT). These methods rely on the temporal correspondences of pixels between the current and previous frames, i.e., per-pixel screen-space… read more here.
Keywords: temporal denoising; motion; motion vectors; indirect illumination ... See more keywords
Demonstration with Special TCI-15 Datasets of Potential Impacts of New-Generation Satellite Atmospheric Motion Vectors on Navy Regional and Global Models
Sign Up to like & getrecommendations! Published in 2018 at "Weather and Forecasting"
DOI: 10.1175/waf-d-17-0168.1
Abstract: A dynamic initialization assimilation scheme is demonstrated utilizing rapid-scan atmospheric motion vectors (AMVs) at 15-min intervals to simulate the real-time capability that now exists from the new generation of geostationary meteorological satellites. The impacts of… read more here.
Keywords: motion vectors; atmospheric motion; tci datasets; new generation ... See more keywords
Strategies for Assimilating High-Density Atmospheric Motion Vectors into a Regional Tropical Cyclone Forecast Model (HWRF)
Sign Up to like & getrecommendations! Published in 2020 at "Atmosphere"
DOI: 10.3390/atmos11060673
Abstract: In recent years, atmospheric numerical modeling frameworks and satellite observing systems have both undergone significant advances. While these developments offer considerable potential for improving forecasts of high-impact weather events such as tropical cyclones (TC), much… read more here.
Keywords: density atmospheric; high density; density; motion vectors ... See more keywords
Using machine learning to model uncertainty for water vapor atmospheric motion vectors
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Measurement Techniques"
DOI: 10.5194/amt-14-1941-2021
Abstract: Abstract. Wind-tracking algorithms produce atmospheric motion vectors (AMVs) by tracking clouds or water vapor across spatial–temporal fields. Thorough error characterization of wind-tracking algorithms is critical in properly assimilating AMVs into weather forecast models and climate… read more here.
Keywords: uncertainty; error; machine learning; atmospheric motion ... See more keywords