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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 81–90 of 496 papers

TitleStatusHype
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
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