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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 151–175 of 496 papers

TitleStatusHype
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
A Multiplierless Pruned DCT-like Transformation for Image and Video Compression that Requires 10 Additions Only—0
Accelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation—0
AlphaVC: High-Performance and Efficient Learned Video Compression—0
Rethinking Generative Human Video Coding with Implicit Motion Transformation—0
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions—0
Conditional Coding for Flexible Learned Video Compression—0
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution—0
Compression of High Dynamic Range Video Using the HEVC and H.264/AVC Standards—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
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
Conditional Entropy Coding for Efficient Video Compression—0
Exploring the Distributed Video Coding in a Quality Assessment Context—0
Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding—0
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression—0
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate—0
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals—0
FANeRV: Frequency Separation and Augmentation based Neural Representation for Video—0
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
Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content—0
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