SOTAVerified

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 301–325 of 496 papers

TitleStatusHype
Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks—0
Video Coding Using Learned Latent GAN Compression—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness—0
Modeling the HEVC Encoding Energy Using the Encoder Processing Time—0
Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation—0
On the benefit of parameter-driven approaches for the modeling and the prediction of Satisfied User Ratio for compressed video—0
VCT: A Video Compression TransformerCode0
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction—0
Introducing AV1 Codec-Level Video SteganographyCode0
Slimmable Video Codec—0
An Interactive Annotation Tool for Perceptual Video CompressionCode0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Per Clip Lagrangian Multiplier Optimisation for HEVC—0
Near Optimal Per-Clip Lagrangian Multiplier Prediction in HEVC—0
Fast optimization of common basis for matrix set through Common Singular Value Decomposition—0
Wireless Semantic Communications for Video Conferencing—0
Foveation-based Deep Video Compression without Motion Search—0
Neural Face Video Compression using Multiple Views—0
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training—0
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression—0
Estimating the HEVC Decoding Energy Using the Decoder Processing Time—0
Region-of-Interest Based Neural Video Compression—0
Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons—0
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding—0
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