SOTAVerified

Video Compression

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 496 papers

TitleStatusHype
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
PNVC: Towards Practical INR-based Video Compression—0
UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation—0
Bi-Directional Deep Contextual Video Compression—0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding—0
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality—0
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
BVI-AOM: A New Training Dataset for Deep Video Compression OptimizationCode0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
NVC-1B: A Large Neural Video Coding Model—0
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
Neural-based Video Compression on Solar Dynamics Observatory Images—0
Manipulating a Tetris-Inspired 3D Video Representation—0
MNeRV: A Multilayer Neural Representation for VideosCode0
Optimal Video Compression using Pixel Shift TrackingCode0
Hierarchical B-frame Video Coding for Long Group of Pictures—0
Prediction and Reference Quality Adaptation for Learned Video Compression—0
Implicit Neural Representation for Videos Based on Residual Connection—0
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information—0
Video Coding with Cross-Component Sample Offset—0
A motion-based compression algorithm for resource-constrained video camera traps—0
Efficient Learned Wavelet Image and Video Coding—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—0
One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Encoder-Quantization-Motion-based Video Quality Metrics—0
Task-Aware Encoder Control for Deep Video Compression—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
Low-Latency Neural Stereo Streaming—0
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets—0
NERV++: An Enhanced Implicit Neural Video Representation—0
Neural Video Compression with Feature Modulation—0
Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Analysis of Neural Video Compression Networks for 360-Degree Video Coding—0
A Neural-network Enhanced Video Coding Framework beyond ECM—0
Motion-Adaptive Inference for Flexible Learned B-Frame Compression—0
Immersive Video Compression using Implicit Neural RepresentationsCode0
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding—0
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization—0
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression—0
A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024—0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression—0
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions—0
Motion Guided Token Compression for Efficient Masked Video Modeling—0
NU-Class Net: A Novel Approach for Video Quality Enhancement—0
Show:102550
← PrevPage 4 of 10Next →

No leaderboard results yet.