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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 176–200 of 496 papers

TitleStatusHype
Feedback Recurrent Autoencoder for Video Compression—0
High efficiency compression for object detection—0
Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content—0
FLAVC: Learned Video Compression with Feature Level Attention—0
Evaluating Foveated Video Quality Using Entropic Differencing—0
Compressing Video Calls using Synthetic Talking Heads—0
Foveation-based Deep Video Compression without Motion Search—0
EVA^2: Exploiting Temporal Redundancy in Live Computer Vision—0
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
Estimating the HEVC Decoding Energy Using the Decoder Processing Time—0
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting—0
BBAND Index: A No-Reference Banding Artifact Predictor—0
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals—0
Generative Compression—0
Data-independent Low-complexity KLT Approximations for Image and Video Coding—0
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding—0
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding—0
Generative Video Compression as Hierarchical Variational Inference—0
Geometry-based spherical JND modeling for 360^ display—0
Entropy Coding Improvement for Low-complexity Compressive Auto-encoders—0
GIViC: Generative Implicit Video Compression—0
Graph-based Transforms for Video Coding—0
Greedy Sampling of Graph Signals—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Compressible Motion Fields—0
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