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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 76–100 of 496 papers

TitleStatusHype
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
C3: High-performance and low-complexity neural compression from a single image or video—0
BVI-DVC: A Training Database for Deep Video Compression—0
A new way of video compression via forward-referencing using deep learning—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
Lossy Neural Compression for Geospatial Analytics: A Review—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—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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