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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 51–100 of 496 papers

TitleStatusHype
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video CodingCode1
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachCode1
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video CompressionCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
Coordinate-Aware Modulation for Neural FieldsCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
Neural Residual Flow Fields for Efficient Video RepresentationsCode1
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
DFPN: Deformable Frame Prediction NetworkCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
FVC: A New Framework towards Deep Video Compression in Feature SpaceCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Hierarchical Autoregressive Modeling for Neural Video CompressionCode1
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression AlgorithmCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
SMC++: Masked Learning of Unsupervised Video Semantic CompressionCode1
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
CANeRV: Content Adaptive Neural Representation for Video Compression—0
A Feature based Approach for Video Compression—0
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network—0
A new way of video compression via forward-referencing using deep learning—0
BVI-DVC: A Training Database for Deep Video Compression—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Adversarial Video Compression Guided by Soft Edge Detection—0
A Neural-network Enhanced Video Coding Framework beyond ECM—0
3D Video Quality Metric for 3D Video Compression—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—0
Deep Video Codec Control for Vision Models—0
Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024—0
Boosting neural video codecs by exploiting hierarchical redundancy—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
Adversarial Distortion for Learned Video Compression—0
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