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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 326–350 of 496 papers

TitleStatusHype
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video—0
Perceptual Learned Video Compression with Recurrent Conditional GANCode1
A Quantitative Approach To The Temporal Dependency in Video Coding—0
Learned Video Compression with Residual Prediction and Loop FilterCode1
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
Self-Conditioned Probabilistic Learning of Video RescalingCode1
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
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via TextCode1
Comparison of Lossless Image Formats—0
Multiview Video Compression Using Advanced HEVC Screen Content Coding—0
FOVQA: Blind Foveated Video Quality Assessment—0
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective—0
An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs—0
Quality assessment methods for perceptual video compression—0
Perceptually-inspired super-resolution of compressed videos—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
DFPN: Deformable Frame Prediction NetworkCode1
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