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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 251–300 of 496 papers

TitleStatusHype
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
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
Video Compression With Entropy-Constrained Neural Representations—0
Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision—0
Motion Information Propagation for Neural Video Compression—0
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression—0
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation—0
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise ModelingCode0
PIM: Video Coding using Perceptual Importance Maps—0
Pruned Lightweight Encoders for Computer Vision—0
Rethinking Implicit Neural Representations for Vision Learners—0
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
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
Deep Convolutional Pooling Transformer for Deepfake DetectionCode0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression—0
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing FlowsCode0
Why is the video analytics accuracy fluctuating, and what can we do about it?—0
Extreme-scale Talking-Face Video Upsampling with Audio-Visual PriorsCode0
A new way of video compression via forward-referencing using deep learning—0
Boosting neural video codecs by exploiting hierarchical redundancy—0
PS-NeRV: Patch-wise Stylized Neural Representations for Videos—0
Exploring Long- and Short-Range Temporal Information for Learned Video CompressionCode0
AlphaVC: High-Performance and Efficient Learned Video Compression—0
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices—0
Enhancing HDR Video Compression through CNN-based Effective Bit Depth AdaptationCode0
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation—0
Neighbor Correspondence Matching for Flow-based Video Frame Synthesis—0
Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression—0
Learned Video Compression via Heterogeneous Deformable Compensation Network—0
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