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 201–250 of 496 papers

TitleStatusHype
Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding—0
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression—0
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features—0
Towards Scalable Neural Representation for Diverse Videos—0
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network—0
Low-complexity Deep Video Compression with A Distributed Coding ArchitectureCode1
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers—0
Toward Super-Resolution for Appearance-Based Gaze Estimation—0
Rate-Distortion Optimization With Alternative References For UGC Video Compression—0
Entropy Coding Improvement for Low-complexity Compressive Auto-encoders—0
Scene Matters: Model-based Deep Video Compression—0
Geometry-based spherical JND modeling for 360^ display—0
Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression—0
RQAT-INR: Improved Implicit Neural Image Compression—0
The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences—0
Neural Video Compression with Diverse ContextsCode1
Leveraging Video Coding Knowledge for Deep Video Enhancement—0
Content-Adaptive Motion Rate Adaption for Learned Video Compression—0
Rate-Perception Optimized Preprocessing for Video Coding—0
Differentiable bit-rate estimation for neural-based video codec enhancement—0
Optimized learned entropy coding parameters for practical neural-based image and video compression—0
Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision—0
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic CompressionCode1
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation—0
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression—0
Motion Information Propagation for Neural Video Compression—0
Video Compression With Entropy-Constrained Neural Representations—0
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise ModelingCode0
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
PIM: Video Coding using Perceptual Importance Maps—0
Pruned Lightweight Encoders for Computer Vision—0
Video compression dataset and benchmark of learning-based video-quality metricsCode1
Rethinking Implicit Neural Representations for Vision Learners—0
Perceptual Video Coding for Machines via Satisfied Machine Ratio ModelingCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Impact of Video Compression on the Performance of Object Detection Systems for Surveillance Applications—0
The Need for Medically Aware Video Compression in Gastroenterology—0
LCCM-VC: Learned Conditional Coding Modes for Video CompressionCode0
Multi-rate adaptive transform coding for video compression—0
Efficient Cross-Modal Video Retrieval with Meta-Optimized FramesCode0
Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding—0
Scalable Neural Video Representations with Learnable Positional FeaturesCode1
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Leveraging progressive model and overfitting for efficient learned image compression—0
Compressing Video Calls using Synthetic Talking Heads—0
Compressed Vision for Efficient Video Understanding—0
Correcting the Sub-optimal Bit Allocation—0
Show:102550
← PrevPage 5 of 10Next →

No leaderboard results yet.