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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

Showing 301350 of 496 papers

TitleStatusHype
Spatial-Temporal Transformer based Video Compression Framework0
SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution0
SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information0
Standardizing Generative Face Video Compression using Supplemental Enhancement Information0
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality0
Task-Aware Encoder Control for Deep Video Compression0
Temporal Context Mining for Learned Video Compression0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction0
Texture-aware Video Frame Interpolation0
Texture Segmentation Based Video Compression Using Convolutional Neural Networks0
The evolution of volumetric video: A survey of smart transcoding and compression approaches0
The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences0
The Need for Medically Aware Video Compression in Gastroenterology0
Neural Video Compression using GANs for Detail Synthesis and Propagation0
Towards Practical Real-Time Neural Video Compression0
Towards Scalable Neural Representation for Diverse Videos0
Towards Transparent Application of Machine Learning in Video Processing0
Toward Super-Resolution for Appearance-Based Gaze Estimation0
Tracking Single-Cells in Overcrowded Bacterial Colonies0
TVC: Tokenized Video Compression with Ultra-Low Bitrate0
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression0
UAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation0
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding0
U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation0
Uncertainty-Aware Deep Video Compression with Ensembles0
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression0
Using modern motion estimation algorithms in existing video codecs0
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding0
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework0
Versatile Learned Video Compression0
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics0
Video Coding Using Learned Latent GAN Compression0
Video Coding with Cross-Component Sample Offset0
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach0
Video Compression with Arbitrary Rescaling Network0
Video Compression with CNN-based Post Processing0
Video Compression With Entropy-Constrained Neural Representations0
Video compression with low complexity CNN-based spatial resolution adaptation0
Video Compression With Rate-Distortion Autoencoders0
Video Object Segmentation and Tracking: A Survey0
Video Quality Assessment and Coding Complexity of the Versatile Video Coding Standard0
Video Quality Assessment for Computer Graphics Applications0
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature0
ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation0
ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing0
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression0
VVC Extension Scheme for Object Detection Using Contrast Reduction0
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding0
Why is the video analytics accuracy fluctuating, and what can we do about it?0
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