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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
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models—0
GIViC: Generative Implicit Video Compression—0
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming—0
FG-DFPN: Flow Guided Deformable Frame Prediction NetworkCode0
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression—0
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Towards Practical Real-Time Neural Video CompressionCode0
Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence—0
Hierarchical Semantic Compression for Consistent Image Semantic Restoration—0
CANeRV: Content Adaptive Neural Representation for Video Compression—0
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting—0
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance—0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Perceptual Video Compression with Neural Wrapping—0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
Plug-and-Play Versatile Compressed Video Enhancement—0
FLAVC: Learned Video Compression with Feature Level Attention—0
Adaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction—0
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression—0
Hybrid Local-Global Context Learning for Neural Video Compression—0
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT DevicesCode0
Learning Optimal Linear Block Transform by Rate Distortion Minimization—0
Motion Free B-frame Coding for Neural Video Compression—0
M3-CVC: Controllable Video Compression with Multimodal Generative Models—0
U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation—0
Sparse Input View Synthesis: 3D Representations and Reliable Priors—0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
Machine vision-aware quality metrics for compressed image and video assessment—0
High-Frequency Enhanced Hybrid Neural Representation for Video Compression—0
The evolution of volumetric video: A survey of smart transcoding and compression approaches—0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
Predicting total time to compress a video corpus using online inference systems—0
Standardizing Generative Face Video Compression using Supplemental Enhancement Information—0
Generative Human Video Compression with Multi-granularity Temporal Trajectory FactorizationCode0
Compressing Scene Dynamics: A Generative ApproachCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
Fast Data-independent KLT Approximations Based on Integer Functions—0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression—0
Fast Encoding and Decoding for Implicit Video Representation—0
Neural Video Representation for Redundancy Reduction and Consistency Preservation—0
Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression—0
The Practice of Averaging Rate-Distortion Curves over Testsets to Compare Learned Video Codecs Can Cause Misleading Conclusions—0
NVRC: Neural Video Representation Compression—0
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