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

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Showing 51–75 of 496 papers

TitleStatusHype
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression—0
Video Seal: Open and Efficient Video WatermarkingCode4
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
High-Frequency Enhanced Hybrid Neural Representation for Video Compression—0
Machine vision-aware quality metrics for compressed image and video assessment—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
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video CompressionCode1
Compressing Scene Dynamics: A Generative ApproachCode0
Fast Data-independent KLT Approximations Based on Integer Functions—0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
High-Efficiency Neural Video Compression via Hierarchical Predictive LearningCode1
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression—0
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