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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 26–50 of 496 papers

TitleStatusHype
Implicit-explicit Integrated Representations for Multi-view Video CompressionCode1
Coordinate-Aware Modulation for Neural FieldsCode1
Perceptual Quality Improvement in Videoconferencing using Keyframes-based GANCode1
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
VCD: A Video Conferencing Dataset for Video CompressionCode1
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
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
HNeRV: A Hybrid Neural Representation for VideosCode1
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy CodingCode1
Low-complexity Deep Video Compression with A Distributed Coding ArchitectureCode1
Neural Video Compression with Diverse ContextsCode1
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic CompressionCode1
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
Video compression dataset and benchmark of learning-based video-quality metricsCode1
Perceptual Video Coding for Machines via Satisfied Machine Ratio ModelingCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Scalable Neural Video Representations with Learnable Positional FeaturesCode1
Bit Allocation using OptimizationCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
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