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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 451–496 of 496 papers

TitleStatusHype
Neural Video Compression using Spatio-Temporal Priors—0
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals—0
DVC: An End-to-end Deep Video Compression FrameworkCode1
Fast Object Detection in Compressed Video—0
Deep Learned Frame Prediction for Video Compression—0
Adversarial Video Compression Guided by Soft Edge Detection—0
MGANet: A Robust Model for Quality Enhancement of Compressed VideoCode0
Learned Video Compression—0
Deep Generative Video Compression—0
Deep Probabilistic Video Compression—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
Deep Kalman Filtering Network for Video Compression Artifact ReductionCode0
Targeted Nonlinear Adversarial Perturbations in Images and VideosCode0
Switchable Temporal Propagation NetworkCode0
Video Compression through Image InterpolationCode0
EVA^2: Exploiting Temporal Redundancy in Live Computer Vision—0
Compression of High Dynamic Range Video Using the HEVC and H.264/AVC Standards—0
Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content—0
Exploring the Distributed Video Coding in a Quality Assessment Context—0
3D Video Quality Metric for 3D Video Compression—0
Disentangled Sequential AutoencoderCode0
Texture Segmentation Based Video Compression Using Convolutional Neural Networks—0
Learning Binary Residual Representations for Domain-specific Video Streaming—0
Compressed Video Action RecognitionCode0
DeepCache: Principled Cache for Mobile Deep VisionCode0
High efficiency compression for object detection—0
Fast Convolutional Sparse Coding in the Dual Domain—0
Tracking Single-Cells in Overcrowded Bacterial Colonies—0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation—0
Greedy Sampling of Graph Signals—0
Generative Compression—0
Semantic Perceptual Image Compression using Deep Convolution NetworksCode0
Multi-Scale Saliency Detection using Dictionary Learning—0
Low-complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform—0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
A Feature based Approach for Video Compression—0
Screen Content Image Segmentation Using Sparse-Smooth Decomposition—0
Keypoint Encoding for Improved Feature Extraction from Compressed Video at Low Bitrates—0
Improved 8-point Approximate DCT for Image and Video Compression Requiring Only 14 Additions—0
Efficient Feature Extraction, Encoding and Classification for Action Recognition—0
Seeing the Arrow of Time—0
Real Time Object Tracking Based on Inter-frame Coding: A Review—0
A Multiplierless Pruned DCT-like Transformation for Image and Video Compression that Requires 10 Additions Only—0
Compressible Motion Fields—0
Video Quality Assessment for Computer Graphics Applications—0
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