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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 321–330 of 496 papers

TitleStatusHype
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression—0
UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation—0
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding—0
U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression—0
Using modern motion estimation algorithms in existing video codecs—0
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding—0
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets—0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework—0
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