Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
Hierarchical B-frame Video Coding for Long Group of Pictures
Learned video compression methods already outperform VVC in the low-delay (LD) case, but the random-access (RA) scenario remains challenging. Most works on learned RA video compression either use HEVC as an anchor or com…
Video CompressionPrediction and Reference Quality Adaptation for Learned Video Compression
Temporal prediction is one of the most important technologies for video compression. Various prediction coding modes are designed in traditional video codecs. Traditional video codecs will adaptively to decide the optima…
PredictionVideo CompressionImplicit Neural Representation for Videos Based on Residual Connection
Video compression technology is essential for transmitting and storing videos. Many video compression methods reduce information in videos by removing high-frequency components and utilizing similarities between frames. …
Image ReconstructionModel CompressionVideo CompressionImage and Video Tokenization with Binary Spherical Quantization
We propose a new transformer-based image and video tokenizer with Binary Spherical Quantization (BSQ). BSQ projects the high-dimensional visual embedding to a lower-dimensional hypersphere and then applies binary quantiz…
DecoderImage GenerationQuantizationVideo Compression+1SSNVC: Single Stream Neural Video Compression with Implicit Temporal Information
Recently, Neural Video Compression (NVC) techniques have achieved remarkable performance, even surpassing the best traditional lossy video codec. However, most existing NVC methods heavily rely on transmitting Motion Vec…
DecoderVideo CompressionSMC++: Masked Learning of Unsupervised Video Semantic Compression
Most video compression methods focus on human visual perception, neglecting semantic preservation. This leads to severe semantic loss during the compression, hampering downstream video analysis tasks. In this paper, we p…
Image CompressionSemantic CommunicationSemantic CompressionVideo CompressionVideo Coding with Cross-Component Sample Offset
Beyond the exploration of traditional spatial, temporal and subjective visual signal redundancy in image and video compression, recent research has focused on leveraging cross-color component redundancy to enhance coding…
Video CompressionPromptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
With the exponential growth of video traffic, traditional video streaming systems are approaching their limits in compression efficiency and communication capacity. To further reduce bitrate while maintaining quality, we…
Semantic CommunicationVideo CompressionVideo GenerationA motion-based compression algorithm for resource-constrained video camera traps
Field-captured video facilitates detailed studies of spatio-temporal aspects of animal locomotion, decision-making and environmental interactions including predator-prey relationships and habitat utilisation. But even th…
Decision MakingEdge-computingVideo CompressionI$^2$VC: A Unified Framework for Intra- & Inter-frame Video Compression
Video compression aims to reconstruct seamless frames by encoding the motion and residual information from existing frames. Previous neural video compression methods necessitate distinct codecs for three types of frames …
DenoisingFeature CompressionMotion CompensationMotion Estimation+1Efficient Learned Wavelet Image and Video Coding
Learned wavelet image and video coding approaches provide an explainable framework with a latent space corresponding to a wavelet decomposition. The wavelet image coder iWave++ achieves state-of-the-art performance and h…
Data CompressionVideo CompressionParameter-Efficient Instance-Adaptive Neural Video Compression
Learning-based Neural Video Codecs (NVCs) have emerged as a compelling alternative to standard video codecs, demonstrating promising performance, and simple and easily maintainable pipelines. However, NVCs often fall sho…
parameter-efficient fine-tuningVideo CompressionGroup-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression
Content-adaptive compression is crucial for enhancing the adaptability of the pre-trained neural codec for various contents. Although these methods have been very practical in neural image compression (NIC), their applic…
GPUImage CompressionVideo CompressionDeep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos
Recent advancements in data-driven approaches for remote photoplethysmography (rPPG) have significantly improved the accuracy of remote heart rate estimation. However, the performance of such approaches worsens considera…
Heart rate estimationVideo CompressionOne-Click Upgrade from 2D to 3D: Sandwiched RGB-D Video Compression for Stereoscopic Teleconferencing
Stereoscopic video conferencing is still challenging due to the need to compress stereo RGB-D video in real-time. Though hardware implementations of standard video codecs such as H.264 / AVC and HEVC are widely available…
Video CompressionImage and Video Compression using Generative Sparse Representation with Fidelity Controls
We propose a framework for learned image and video compression using the generative sparse visual representation (SVR) guided by fidelity-preserving controls. By embedding inputs into a discrete latent space spanned by l…
DecoderImage CompressionVideo CompressionEncoder-Quantization-Motion-based Video Quality Metrics
In an adaptive bitrate streaming application, the efficiency of video compression and the encoded video quality depend on both the video codec and the quality metric used to perform encoding optimization. The development…
QuantizationVideo CompressionTask-Aware Encoder Control for Deep Video Compression
Prior research on deep video compression (DVC) for machine tasks typically necessitates training a unique codec for each specific task, mandating a dedicated decoder per task. In contrast, traditional video codecs employ…
DecoderVideo CompressionUncertainty-Aware Deep Video Compression with Ensembles
Deep learning-based video compression is a challenging task, and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation between successive frames and then compres…
DiversityMotion EstimationQuantizationVideo CompressionLow-Latency Neural Stereo Streaming
The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-distortion (R-D) performance and in terms of …
Autonomous DrivingMotion CompensationVideo Compression