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 276–300 of 496 papers

TitleStatusHype
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Region-of-Interest Based Neural Video Compression—0
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression—0
Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields—0
Rethinking Implicit Neural Representations for Vision Learners—0
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks—0
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
Robo-DM: Data Management For Large Robot Datasets—0
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness—0
RQAT-INR: Improved Implicit Neural Image Compression—0
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers—0
Scale-Space Flow for End-to-End Optimized Video Compression—0
SCALE SPACE FLOW WITH AUTOREGRESSIVE PRIORS—0
Scene Matters: Model-based Deep Video Compression—0
Screen Content Image Segmentation Using Sparse-Smooth Decomposition—0
Seeing the Arrow of Time—0
Self-Supervised Graph Transformer for Deepfake Detection—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences—0
Slimmable Video Codec—0
Sparse Input View Synthesis: 3D Representations and Reliable Priors—0
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression—0
Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces—0
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