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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 441–450 of 496 papers

TitleStatusHype
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos—0
Just Noticeable Difference for Deep Machine Vision—0
Does Video Compression Impact Tracking Accuracy?—0
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation—0
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications—0
Efficient Adaptation of Neural Network Filter for Video Compression—0
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization—0
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