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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 301–350 of 496 papers

TitleStatusHype
Uncertainty-Aware Deep Video Compression with Ensembles—0
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression—0
Using modern motion estimation algorithms in existing video codecs—0
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding—0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework—0
Versatile Learned Video Compression—0
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics—0
Video Coding Using Learned Latent GAN Compression—0
Video Coding with Cross-Component Sample Offset—0
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach—0
Video Compression with Arbitrary Rescaling Network—0
Video Compression with CNN-based Post Processing—0
Video Compression With Entropy-Constrained Neural Representations—0
Video compression with low complexity CNN-based spatial resolution adaptation—0
Video Compression With Rate-Distortion Autoencoders—0
Video Object Segmentation and Tracking: A Survey—0
Video Quality Assessment and Coding Complexity of the Versatile Video Coding Standard—0
Video Quality Assessment for Computer Graphics Applications—0
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature—0
ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation—0
ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing—0
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression—0
VVC Extension Scheme for Object Detection Using Contrast Reduction—0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding—0
Why is the video analytics accuracy fluctuating, and what can we do about it?—0
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Learning Image and Video Compression through Spatial-Temporal Energy Compaction—0
Learning Optimal Linear Block Transform by Rate Distortion Minimization—0
Learning Perceptual Compression of Facial Video—0
Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis—0
Learning True Rate-Distortion-Optimization for End-To-End Image Compression—0
Learn to Compress (LtC): Efficient Learning-based Streaming Video Analytics—0
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement—0
Leveraging progressive model and overfitting for efficient learned image compression—0
Leveraging Video Coding Knowledge for Deep Video Enhancement—0
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network—0
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression—0
Lossless White Balance For Improved Lossless CFA Image and Video Compression—0
Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform—0
Low-Latency Neural Stereo Streaming—0
Low-Rank Adaptation of Neural Fields—0
LSCD: A Large-Scale Screen Content Dataset for Video Compression—0
LSVC: A Learning-Based Stereo Video Compression Framework—0
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression—0
M3-CVC: Controllable Video Compression with Multimodal Generative Models—0
Machine vision-aware quality metrics for compressed image and video assessment—0
Manipulating a Tetris-Inspired 3D Video Representation—0
MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression—0
Generative Memorize-Then-Recall framework for low bit-rate Surveillance Video Compression—0
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