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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 476–496 of 496 papers

TitleStatusHype
Fast Convolutional Sparse Coding in the Dual Domain—0
Fast Data-independent KLT Approximations Based on Integer Functions—0
Fast Encoding and Decoding for Implicit Video Representation—0
Fast Object Detection in Compressed Video—0
Fast optimization of common basis for matrix set through Common Singular Value Decomposition—0
Feedback Recurrent Autoencoder for Video Compression—0
FLAVC: Learned Video Compression with Feature Level Attention—0
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation—0
Foveation-based Deep Video Compression without Motion Search—0
FOVQA: Blind Foveated Video Quality Assessment—0
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings—0
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting—0
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression—0
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals—0
Generative Compression—0
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression—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
GIViC: Generative Implicit Video Compression—0
Graph-based Transforms for Video Coding—0
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