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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 176–200 of 496 papers

TitleStatusHype
Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding—0
LSCD: A Large-Scale Screen Content Dataset for Video Compression—0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Self-Supervised Graph Transformer for Deepfake Detection—0
Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding—0
Learn to Compress (LtC): Efficient Learning-based Streaming Video Analytics—0
Learned Scalable Video Coding For Humans and MachinesCode0
Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces—0
Offline and Online Optical Flow Enhancement for Deep Video Compression—0
Predictive Coding For Animation-Based Video CompressionCode0
Color Learning for Image Compression—0
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
Video Compression with Arbitrary Rescaling Network—0
On the Choice of Perception Loss Function for Learned Video Compression—0
VVC Extension Scheme for Object Detection Using Contrast Reduction—0
Learned Wavelet Video Coding using Motion Compensated Temporal Filtering—0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution—0
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be WrongCode1
Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective MethodCode1
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos—0
One Transform To Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment—0
HNeRV: A Hybrid Neural Representation for VideosCode1
Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding—0
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