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 126–150 of 496 papers

TitleStatusHype
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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