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 101–125 of 496 papers

TitleStatusHype
Adversarial Distortion for Learned Video Compression—0
Efficient Feature Extraction, Encoding and Classification for Action Recognition—0
Deep Hierarchical Video Compression—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
Deep Learned Frame Prediction for Video Compression—0
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming—0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features—0
Deep Probabilistic Video Compression—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—0
Deep Video Codec Control for Vision Models—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
Designs and Implementations in Neural Network-based Video Coding—0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation—0
Differentiable bit-rate estimation for neural-based video codec enhancement—0
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression—0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs—0
Show:102550
← PrevPage 5 of 20Next →

No leaderboard results yet.