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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 351–375 of 496 papers

TitleStatusHype
Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact ReductionCode0
Insights from Generative Modeling for Neural Video CompressionCode0
Neural Video Compression using GANs for Detail Synthesis and Propagation—0
Objective video quality metrics application to video codecs comparisons: choosing the best for subjective quality estimation—0
RCLC: ROI-based joint conventional and learning video compressionCode0
Comparison of Lossless Image Formats—0
Multiview Video Compression Using Advanced HEVC Screen Content Coding—0
FOVQA: Blind Foveated Video Quality Assessment—0
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
Quality assessment methods for perceptual video compression—0
Perceptually-inspired super-resolution of compressed videos—0
An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs—0
Evaluating Foveated Video Quality Using Entropic Differencing—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
Towards Transparent Application of Machine Learning in Video Processing—0
Convolutional Block Design for Learned Fractional Downsampling—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
Conditional Coding for Flexible Learned Video Compression—0
Multi-Density Attention Network for Loop Filtering in Video Compression—0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Lossless compression with state space models using bits back codingCode0
SCALE SPACE FLOW WITH AUTOREGRESSIVE PRIORS—0
Texture-aware Video Frame Interpolation—0
Just Noticeable Difference for Deep Machine Vision—0
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