SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 496 papers

TitleStatusHype
Deep Implicit Volume Compression—0
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Remote Photoplethysmography: Rarely Considered FactorsCode0
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression—0
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
Adversarial Distortion for Learned Video Compression—0
Feedback Recurrent Autoencoder for Video Compression—0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework—0
Safe Learning MPC with Limited Model Knowledge and DataCode0
BVI-DVC: A Training Database for Deep Video Compression—0
Content Adaptive and Error Propagation Aware Deep Video Compression—0
BVI-CC: A Dataset for Research on Video Compression and Quality Assessment—0
A proto-object based audiovisual saliency map—0
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
BBAND Index: A No-Reference Banding Artifact Predictor—0
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications—0
A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video—0
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics—0
On Recoverability of Randomly Compressed Tensors with Low CP Rank—0
Generative Memorize-Then-Recall framework for low bit-rate Surveillance Video Compression—0
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach—0
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware—0
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration—0
Deep motion estimation for parallel inter-frame prediction in video compressionCode0
Variable Rate Deep Image Compression with Modulated AutoencoderCode0
ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation—0
Non-Local ConvLSTM for Video Compression Artifact Reduction—0
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding—0
Compressed Video Action Recognition with Refined Motion Vector—0
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement LearningCode0
Graph-based Transforms for Video Coding—0
Video Compression With Rate-Distortion Autoencoders—0
Decision Trees for Complexity Reduction in Video Compression—0
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video EnhancementCode0
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos—0
Learning Image and Video Compression through Spatial-Temporal Energy Compaction—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
Feature Map Transform Coding for Energy-Efficient CNN InferenceCode0
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract—0
Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications—0
Video Object Segmentation and Tracking: A Survey—0
Image and Video Compression with Neural Networks: A Review—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Improving Video Compression With Deep Visual-Attention Models—0
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC—0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
Show:102550
← PrevPage 9 of 10Next →

No leaderboard results yet.