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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 71–80 of 496 papers

TitleStatusHype
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelCode1
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video CodingCode1
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field—0
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