Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting
Efficient neural representations for dynamic video scenes are critical for applications ranging from video compression to interactive simulations. Yet, existing methods often face challenges related to high memory usage,…
Video CompressionMetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Neural Representations for Videos (NeRV) has emerged as a promising implicit neural representation (INR) approach for video analysis, which represents videos as neural networks with frame indexes as inputs. However, NeRV…
Meta-LearningVideo CompressionListening and Seeing Again: Generative Error Correction for Audio-Visual Speech Recognition
Unlike traditional Automatic Speech Recognition (ASR), Audio-Visual Speech Recognition (AVSR) takes audio and visual signals simultaneously to infer the transcription. Recent studies have shown that Large Language Models…
Audio-Visual Speech RecognitionAutomatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognition+3CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
In the field of video compression, the pursuit for better quality at lower bit rates remains a long-lasting goal. Recent developments have demonstrated the potential of Implicit Neural Representation (INR) as a promising…
DenoisingVideo CompressionVideo ReconstructionRivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement
Quality degradation from video compression manifests both spatially along texture edges and temporally with continuous motion changes. Despite recent advances, extracting aligned spatiotemporal information from adjac…
Computational EfficiencyVideo CompressionPerceptual Video Compression with Neural Wrapping
Standard video codecs are rate-distortion optimization machines, where distortion is typically quantified using PSNR versus the source. However, it is now widely accepted that increasing PSNR does not necessarily tra…
MS-SSIMSSIMVideo CompressionFLAVC: Learned Video Compression with Feature Level Attention
Learned Video Compression (LVC) aims to reduce redundancy in sequential data through deep learning approaches. Recent advances have significantly boosted LVC performance by shifting compression operations to feature …
Motion CompensationMotion EstimationVideo CompressionPlug-and-Play Versatile Compressed Video Enhancement
As a widely adopted technique in data transmission, video compression effectively reduces the size of files, making it possible for real-time cloud computing. However, it comes at the cost of visual quality, posing …
Cloud ComputingVideo CompressionVideo EnhancementReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding
Video Large Language Models (VideoLLMs) have made significant strides in video understanding but struggle with long videos due to the limitations of their backbone LLMs. Existing solutions rely on length extrapolation, w…
Video CompressionVideo UnderstandingAdaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction
Deep video compression has made significant progress in recent years, achieving rate-distortion performance that surpasses that of traditional video compression methods. However, rate control schemes tailored for deep vi…
Video CompressionVRVVC: Variable-Rate NeRF-Based Volumetric Video Compression
Neural Radiance Field (NeRF)-based volumetric video has revolutionized visual media by delivering photorealistic Free-Viewpoint Video (FVV) experiences that provide audiences with unprecedented immersion and interactivit…
NeRFQuantizationVideo CompressionVideo Seal: Open and Efficient Video Watermarking
The proliferation of AI-generated content and sophisticated video editing tools has made it both important and challenging to moderate digital platforms. Video watermarking addresses these challenges by embedding imperce…
Video CompressionVideo EditingHybrid Local-Global Context Learning for Neural Video Compression
In neural video codecs, current state-of-the-art methods typically adopt multi-scale motion compensation to handle diverse motions. These methods estimate and compress either optical flow or deformable offsets to reduce …
Motion CompensationMotion EstimationOptical Flow EstimationVideo CompressionMCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
The rapid growth of camera-based IoT devices demands the need for efficient video compression, particularly for edge applications where devices face hardware constraints, often with only 1 or 2 MB of RAM and unstable int…
MS-SSIMSSIMVideo CompressionLearning Optimal Linear Block Transform by Rate Distortion Minimization
Linear block transform coding remains a fundamental component of image and video compression. Although the Discrete Cosine Transform (DCT) is widely employed in all current compression standards, its sub-optimality has s…
Image CompressionVideo CompressionMotion Free B-frame Coding for Neural Video Compression
Typical deep neural video compression networks usually follow the hybrid approach of classical video coding that contains two separate modules: motion coding and residual coding. In addition, a symmetric auto-encoder is …
Motion CompensationMotion EstimationVideo CompressionM3-CVC: Controllable Video Compression with Multimodal Generative Models
Traditional and neural video codecs commonly encounter limitations in controllability and generality under ultra-low-bitrate coding scenarios. To overcome these challenges, we propose M3-CVC, a controllable video compres…
Video CompressionU-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation
Point cloud video (PCV) is a versatile 3D representation of dynamic scenes with emerging applications. This paper introduces U-Motion, a learning-based compression scheme for both PCV geometry and attributes. We propose …
AttributeMotion CompensationMotion EstimationVideo CompressionSparse Input View Synthesis: 3D Representations and Reliable Priors
Novel view synthesis refers to the problem of synthesizing novel viewpoints of a scene given the images from a few viewpoints. This is a fundamental problem in computer vision and graphics, and enables a vast variety of …
Novel View SynthesisVideo CompressionVideo StabilizationBVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
The advances in immersive technologies and 3D reconstruction have enabled the creation of digital replicas of real-world objects and environments with fine details. These processes generate vast amounts of 3D data, requi…
3D ReconstructionData CompressionVideo Compression