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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 151–175 of 496 papers

TitleStatusHype
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
PNVC: Towards Practical INR-based Video Compression—0
UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation—0
Bi-Directional Deep Contextual Video Compression—0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding—0
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality—0
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
BVI-AOM: A New Training Dataset for Deep Video Compression OptimizationCode0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
NVC-1B: A Large Neural Video Coding Model—0
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
Neural-based Video Compression on Solar Dynamics Observatory Images—0
Manipulating a Tetris-Inspired 3D Video Representation—0
MNeRV: A Multilayer Neural Representation for VideosCode0
Optimal Video Compression using Pixel Shift TrackingCode0
Hierarchical B-frame Video Coding for Long Group of Pictures—0
Prediction and Reference Quality Adaptation for Learned Video Compression—0
Implicit Neural Representation for Videos Based on Residual Connection—0
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information—0
Video Coding with Cross-Component Sample Offset—0
A motion-based compression algorithm for resource-constrained video camera traps—0
Efficient Learned Wavelet Image and Video Coding—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—0
One-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing—0
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