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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 201–250 of 496 papers

TitleStatusHype
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
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
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
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