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

Showing 276–300 of 496 papers

TitleStatusHype
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
Diffusion Probabilistic Modeling for Video GenerationCode1
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
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Dilated convolutional neural network-based deep reference picture generation for video compressionCode0
A Coding Framework and Benchmark towards Low-Bitrate Video UnderstandingCode0
Does Video Compression Impact Tracking Accuracy?—0
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