Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction
Video saliency prediction is crucial for downstream applications, such as video compression and human-computer interaction. With the flourishing of multimodal learning, researchers started to explore multimodal video sal…
DenoisingImage GenerationPredictionSaliency Prediction+2FANeRV: Frequency Separation and Augmentation based Neural Representation for Video
Neural representations for video (NeRV) have gained considerable attention for their strong performance across various video tasks. However, existing NeRV methods often struggle to capture fine spatial details, resulting…
Video CompressionL-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression
Recently, learned video compression (LVC) has shown superior performance under low-delay configuration. However, the performance of learned bi-directional video compression (LBVC) still lags behind traditional bi-directi…
Motion Estimationmotion predictionPredictionVideo CompressionEnhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction
Recently, 3D Gaussian Spatting (3DGS) has gained widespread attention in Novel View Synthesis (NVS) due to the remarkable real-time rendering performance. However, the substantial cost of storage and transmission of vani…
3DGSNovel View SynthesisPredictionVideo CompressionImproved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models
Efficient compression of 360-degree video content requires the application of advanced motion models for interframe prediction. The Motion Plane Adaptive (MPA) motion model projects the frames on multiple perspective pla…
Motion CompensationMotion EstimationVideo CompressionGIViC: Generative Implicit Video Compression
While video compression based on implicit neural representations (INRs) has recently demonstrated great potential, existing INR-based video codecs still cannot achieve state-of-the-art (SOTA) performance compared to thei…
Video CompressionPromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
Traditional video compression algorithms exhibit significant quality degradation at extremely low bitrates. Promptus emerges as a new paradigm for video streaming, substantially cutting down the bandwidth essential for v…
Image GenerationVideo CompressionFG-DFPN: Flow Guided Deformable Frame Prediction Network
Video frame prediction remains a fundamental challenge in computer vision with direct implications for autonomous systems, video compression, and media synthesis. We present FG-DFPN, a novel architecture that harnesses t…
Optical Flow EstimationPredictionVideo CompressionResidual Learning and Filtering Networks for End-to-End Lossless Video Compression
Existing learning-based video compression methods still face challenges related to inaccurate motion estimates and inadequate motion compensation structures. These issues result in compression errors and a suboptimal rat…
Motion CompensationMotion EstimationVideo CompressionRethinking Video Tokenization: A Conditioned Diffusion-based Approach
Existing video tokenizers typically use the traditional Variational Autoencoder (VAE) architecture for video compression and reconstruction. However, to achieve good performance, its training process often relies on comp…
DecoderVideo CompressionVideo GenerationVideo ReconstructionUAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression
Implicit Neural Representations (INRs) have demonstrated significant potential in video compression by representing videos as neural networks. However, as the number of frames increases, the memory consumption for traini…
Video CompressionLossy Neural Compression for Geospatial Analytics: A Review
Over the past decades, there has been an explosion in the amount of available Earth Observation (EO) data. The unprecedented coverage of the Earth's surface and atmosphere by satellite imagery has resulted in large volum…
Data CompressionEarth ObservationSelf-Supervised LearningVideo CompressionHigh Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm
Recently, learned video compression (LVC) is undergoing a period of rapid development. However, due to absence of large and high-quality high dynamic range (HDR) video training data, LVC on HDR video is still unexplored.…
Video CompressionTowards Practical Real-Time Neural Video Compression
We introduce a practical real-time neural video codec (NVC) designed to deliver high compression ratio, low latency and broad versatility. In practice, the coding speed of NVCs depends on 1) computational costs, and 2) n…
Video CompressionHierarchical Semantic Compression for Consistent Image Semantic Restoration
The emerging semantic compression has been receiving increasing research efforts most recently, capable of achieving high fidelity restoration during compression, even at extremely low bitrates. However, existing semanti…
Feature CompressionSemantic CompressionVideo CompressionPleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence
Generative model based compact video compression is typically operated within a relative narrow range of bitrates, and often with an emphasis on ultra-low rate applications. There has been an increasing consensus in the …
Video CompressionCANeRV: Content Adaptive Neural Representation for Video Compression
Recent advances in video compression introduce implicit neural representation (INR) based methods, which effectively capture global dependencies and characteristics of entire video sequences. Unlike traditional and deep …
Video CompressionDiffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse
Recently, foundational diffusion models have attracted considerable attention in image compression tasks, whereas their application to video compression remains largely unexplored. In this article, we introduce DiffVC, a…
Image CompressionQuantizationVideo CompressionRL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
Video encoders optimize compression for human perception by minimizing reconstruction error under bit-rate constraints. In many modern applications such as autonomous driving, an overwhelming majority of videos serve as …
Autonomous DrivingObject RecognitionQuantizationReinforcement Learning (RL)+1An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
While most existing neural image compression (NIC) and neural video compression (NVC) methodologies have achieved remarkable success, their optimization is primarily focused on human visual perception. However, with the …
Image CompressionVideo Compression