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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 51–75 of 496 papers

TitleStatusHype
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
HNeRV: A Hybrid Neural Representation for VideosCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Implicit-explicit Integrated Representations for Multi-view Video CompressionCode1
Learned Video Compression with Residual Prediction and Loop FilterCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video CodingCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Coordinate-Aware Modulation for Neural FieldsCode1
DFPN: Deformable Frame Prediction NetworkCode1
Learning Cross-Scale Weighted Prediction for Efficient Neural Video CompressionCode1
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
Deep Contextual Video CompressionCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy CodingCode1
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