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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 426–450 of 496 papers

TitleStatusHype
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
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