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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 101–150 of 496 papers

TitleStatusHype
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Predictive Coding For Animation-Based Video CompressionCode0
Deep Kalman Filtering Network for Video Compression Artifact ReductionCode0
CVEGAN: A Perceptually-inspired GAN for Compressed Video EnhancementCode0
OpenDMC: An Open-Source Library and Performance Evaluation for Deep-learning-based Multi-frame CompressionCode0
Optimal Video Compression using Pixel Shift TrackingCode0
Neural Video Compression with Context ModulationCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise ModelingCode0
PacketGame: Multi-Stream Packet Gating for Concurrent Video Inference at ScaleCode0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
MNeRV: A Multilayer Neural Representation for VideosCode0
Targeted Nonlinear Adversarial Perturbations in Images and VideosCode0
MGANet: A Robust Model for Quality Enhancement of Compressed VideoCode0
Lossless compression with state space models using bits back codingCode0
B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts ReductionCode0
B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing FlowsCode0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT DevicesCode0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Compressing Scene Dynamics: A Generative ApproachCode0
Learned Scalable Video Coding For Humans and MachinesCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Introducing AV1 Codec-Level Video SteganographyCode0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Immersive Video Compression using Implicit Neural RepresentationsCode0
Insights from Generative Modeling for Neural Video CompressionCode0
LCCM-VC: Learned Conditional Coding Modes for Video CompressionCode0
Learning to Compress Videos without Computing MotionCode0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Geometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video CompressionCode0
Comparative Study of Hardware and Software Power Measurements in Video CompressionCode0
Efficient Cross-Modal Video Retrieval with Meta-Optimized FramesCode0
Generative Human Video Compression with Multi-granularity Temporal Trajectory FactorizationCode0
FG-DFPN: Flow Guided Deformable Frame Prediction NetworkCode0
Feature Map Transform Coding for Energy-Efficient CNN InferenceCode0
Exploring Long- and Short-Range Temporal Information for Learned Video CompressionCode0
Extreme-scale Talking-Face Video Upsampling with Audio-Visual PriorsCode0
Enhancing HDR Video Compression through CNN-based Effective Bit Depth AdaptationCode0
Light Field Compression by Residual CNN Assisted JPEGCode0
A Coding Framework and Benchmark towards Low-Bitrate Video UnderstandingCode0
Compressed Video Action RecognitionCode0
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos—0
DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy—0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
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