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 201–225 of 496 papers

TitleStatusHype
Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs—0
Analysis of Neural Video Compression Networks for 360-Degree Video Coding—0
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features—0
Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement—0
Hierarchical Semantic Compression for Consistent Image Semantic Restoration—0
3D Video Quality Metric for 3D Video Compression—0
High efficiency compression for object detection—0
Generative Compression—0
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals—0
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression—0
Highly Efficient Non-Separable Transforms for Next Generation Video Coding—0
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation—0
High Visual-Fidelity Learned Video Compression—0
Data-independent Low-complexity KLT Approximations for Image and Video Coding—0
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting—0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression—0
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection—0
FOVQA: Blind Foveated Video Quality Assessment—0
Correcting the Sub-optimal Bit Allocation—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Image and Video Compression with Neural Networks: A Review—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Foveation-based Deep Video Compression without Motion Search—0
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation—0
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