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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 351–400 of 496 papers

TitleStatusHype
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
Wireless Semantic Communications for Video Conferencing—0
Rethinking Generative Human Video Coding with Implicit Motion Transformation—0
3D Video Quality Metric for 3D Video Compression—0
Accelerating Learned Video Compression via Low-Resolution Representation Learning—0
Accelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation—0
Accuracy Improvement of Object Detection in VVC Coded Video Using YOLO-v7 Features—0
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network—0
Adaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction—0
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC—0
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression—0
Adversarial Distortion for Learned Video Compression—0
Adversarial Video Compression Guided by Soft Edge Detection—0
A Feature based Approach for Video Compression—0
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video—0
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding—0
AlphaVC: High-Performance and Efficient Learned Video Compression—0
A Multiplierless Pruned DCT-like Transformation for Image and Video Compression that Requires 10 Additions Only—0
An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Analysis of Neural Video Compression Networks for 360-Degree Video Coding—0
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
A Neural Enhancement Post-Processor with a Dynamic AV1 Encoder Configuration Strategy for CLIC 2024—0
A Neural-network Enhanced Video Coding Framework beyond ECM—0
A new way of video compression via forward-referencing using deep learning—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
A proto-object based audiovisual saliency map—0
A Quantitative Approach To The Temporal Dependency in Video Coding—0
Quantum Block-Matching Algorithm using Dissimilarity Measure—0
A Technical Overview of AV1—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos—0
BBAND Index: A No-Reference Banding Artifact Predictor—0
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration—0
Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons—0
Bi-Directional Deep Contextual Video Compression—0
Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs—0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation—0
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms—0
Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression—0
Boosting neural video codecs by exploiting hierarchical redundancy—0
Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information—0
Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression—0
BVI-DVC: A Training Database for Deep Video Compression—0
C3: High-performance and low-complexity neural compression from a single image or video—0
CANeRV: Content Adaptive Neural Representation for Video Compression—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
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