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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 401–450 of 496 papers

TitleStatusHype
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction—0
Color Learning for Image Compression—0
Combining Frame and GOP Embeddings for Neural Video Representation—0
BVI-CC: A Dataset for Research on Video Compression and Quality Assessment—0
Comparison of Lossless Image Formats—0
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression—0
Compressed Video Action Recognition with Refined Motion Vector—0
Compressed Vision for Efficient Video Understanding—0
Compressible Motion Fields—0
Compressing Video Calls using Synthetic Talking Heads—0
Compression of High Dynamic Range Video Using the HEVC and H.264/AVC Standards—0
Conditional Coding for Flexible Learned Video Compression—0
Conditional Entropy Coding for Efficient Video Compression—0
Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding—0
Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision—0
Content Adaptive and Error Propagation Aware Deep Video Compression—0
Content-Adaptive Motion Rate Adaption for Learned Video Compression—0
Context-Aware Neural Video Compression on Solar Dynamics Observatory—0
Convolutional Block Design for Learned Fractional Downsampling—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
Correcting the Sub-optimal Bit Allocation—0
Cross Modal Compression: Towards Human-comprehensible Semantic Compression—0
Data-independent Low-complexity KLT Approximations for Image and Video Coding—0
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads—0
Decision Trees for Complexity Reduction in Video Compression—0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning—0
Deep Hierarchical Video Compression—0
Deep Implicit Volume Compression—0
Deep Learned Frame Prediction for Video Compression—0
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming—0
Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Deep Generative Video Compression—0
Deep Probabilistic Video Compression—0
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos—0
Deep Video Codec Control for Vision Models—0
Learning-Based Video Coding with Joint Deep Compression and Enhancement—0
DeepWiVe: Deep-Learning-Aided Wireless Video Transmission—0
Designs and Implementations in Neural Network-based Video Coding—0
Differentiable bit-rate estimation for neural-based video codec enhancement—0
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos—0
Just Noticeable Difference for Deep Machine Vision—0
Does Video Compression Impact Tracking Accuracy?—0
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation—0
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications—0
Efficient Adaptation of Neural Network Filter for Video Compression—0
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization—0
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