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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

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Showing 101–150 of 496 papers

TitleStatusHype
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
Image and Video Tokenization with Binary Spherical QuantizationCode3
SMC++: Masked Learning of Unsupervised Video Semantic CompressionCode1
Video Coding with Cross-Component Sample Offset—0
Promptus: Can Prompts Streaming Replace Video Streaming with Stable DiffusionCode2
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
A motion-based compression algorithm for resource-constrained video camera traps—0
Efficient Learned Wavelet Image and Video Coding—0
Parameter-Efficient Instance-Adaptive Neural Video CompressionCode1
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
VQ-NeRV: A Vector Quantized Neural Representation for VideosCode1
Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction OffsetsCode0
NERV++: An Enhanced Implicit Neural Video Representation—0
Neural Video Compression with Feature ModulationCode0
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
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
Motion-Adaptive Inference for Flexible Learned B-Frame Compression—0
A Neural-network Enhanced Video Coding Framework beyond ECM—0
Sandwiched Compression: Repurposing Standard Codecs with Neural Network WrappersCode2
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
ColorVideoVDP: A visual difference predictor for image, video and display distortionsCode2
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
Combining Frame and GOP Embeddings for Neural Video Representation—0
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression—0
Comparative Study of Hardware and Software Power Measurements in Video CompressionCode0
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network—0
Geometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video CompressionCode0
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