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 301–350 of 496 papers

TitleStatusHype
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement—0
Enhancement or Super-Resolution: Learning-based Adaptive Video Streaming with Client-Side Video Processing—0
Neural Residual Flow Fields for Efficient Video RepresentationsCode1
Microdosing: Knowledge Distillation for GAN based Compression—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
LSVC: A Learning-Based Stereo Video Compression Framework—0
Learning Based Multi-Modality Image and Video Compression—0
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences—0
Learning Cross-Scale Weighted Prediction for Efficient Neural Video CompressionCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression—0
Neural Weight Step Video Compression—0
ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
Data-independent Low-complexity KLT Approximations for Image and Video Coding—0
Temporal Context Mining for Learned Video Compression—0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set—0
Versatile Learned Video Compression—0
NeRV: Neural Representations for VideosCode1
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial DecodingCode0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Deep Contextual Video CompressionCode1
Learning Perceptual Compression of Facial Video—0
Transformer-based Transform CodingCode1
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
Perceptual Learned Video Compression with Recurrent Conditional GANCode1
A Quantitative Approach To The Temporal Dependency in Video Coding—0
Learned Video Compression with Residual Prediction and Loop FilterCode1
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact ReductionCode0
Insights from Generative Modeling for Neural Video CompressionCode0
Neural Video Compression using GANs for Detail Synthesis and Propagation—0
Self-Conditioned Probabilistic Learning of Video RescalingCode1
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation—0
RCLC: ROI-based joint conventional and learning video compressionCode0
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via TextCode1
Comparison of Lossless Image Formats—0
Multiview Video Compression Using Advanced HEVC Screen Content Coding—0
FOVQA: Blind Foveated Video Quality Assessment—0
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs—0
Quality assessment methods for perceptual video compression—0
Perceptually-inspired super-resolution of compressed videos—0
Evaluating Foveated Video Quality Using Entropic Differencing—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
Towards Transparent Application of Machine Learning in Video Processing—0
DFPN: Deformable Frame Prediction NetworkCode1
Show:102550
← PrevPage 7 of 10Next →

No leaderboard results yet.