Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
Video compression performance is closely related to the accuracy of inter prediction. It tends to be difficult to obtain accurate inter prediction for the local video regions with inconsistent motion and occlusion. Tradi…
Motion EstimationMS-SSIMPredictionSSIM+1ColorVideoVDP: A visual difference predictor for image, video and display distortions
ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color. The metric is built on novel psychophysical models of chromatic spatiotemporal contrast …
Video CompressionExplaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
The many variations of Implicit Neural Representations (INRs), where a neural network is trained as a continuous representation of a signal, have tremendous practical utility for downstream tasks including novel view syn…
Image Super-ResolutionNovel View SynthesisSuper-ResolutionVideo CompressionMotion Guided Token Compression for Efficient Masked Video Modeling
Recent developments in Transformers have achieved notable strides in enhancing video comprehension. Nonetheless, the O($N^2$) computation complexity associated with attention mechanisms presents substantial computational…
Video CompressionVideo RecognitionNU-Class Net: A Novel Approach for Video Quality Enhancement
Video content has experienced a surge in popularity, asserting its dominance over internet traffic and Internet of Things (IoT) networks. Video compression has long been regarded as the primary means of efficiently manag…
DecoderVideo CompressionCombining Frame and GOP Embeddings for Neural Video Representation
Implicit neural representations (INRs) were recently proposed as a new video compression paradigm with existing approaches performing on par with HEVC. However such methods only perform well in limited settings e.g. …
Video CompressionMaskCRT: Masked Conditional Residual Transformer for Learned Video Compression
Conditional coding has lately emerged as the mainstream approach to learned video compression. However, a recent study shows that it may perform worse than residual coding when the information bottleneck arises. Conditio…
MS-SSIMSSIMVideo CompressionComparative Study of Hardware and Software Power Measurements in Video Compression
The environmental impact of video streaming services has been discussed as part of the strategies towards sustainable information and communication technologies. A first step towards that is the energy profiling and asse…
Video CompressionA Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network
Video compression is widely used in digital television, surveillance systems, and virtual reality. Real-time video decoding is crucial in practical scenarios. Recently, neural video compression (NVC) combines traditional…
Video CompressionGeometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video Compression
The large amounts of data associated with 360-degree video require highly effective compression techniques for efficient storage and distribution. The development of improved motion models for 360-degree motion compensat…
Motion CompensationVideo CompressionDeep Hierarchical Video Compression
Recently, probabilistic predictive coding that directly models the conditional distribution of latent features across successive frames for temporal redundancy removal has yielded promising results. Existing methods usin…
Video CompressionC3: High-performance and low-complexity neural compression from a single image or video
Most neural compression models are trained on large datasets of images or videos in order to generalize to unseen data. Such generalization typically requires large and expressive architectures with a high decoding compl…
Video CompressionAccelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation
In recent years, end-to-end learnt video codecs have demonstrated their potential to compete with conventional coding algorithms in term of compression efficiency. However, most learning-based video compression models ar…
DecoderVideo CompressionBitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs
Video compression systems must support increasing bandwidth and data throughput at low cost and power, and can be limited by entropy coding bottlenecks. Efficiency can be greatly improved by parallelizing coding, which c…
Video CompressionImplicit-explicit Integrated Representations for Multi-view Video Compression
With the increasing consumption of 3D displays and virtual reality, multi-view video has become a promising format. However, its high resolution and multi-camera shooting result in a substantial increase in data volume, …
Video CompressionCoordinate-Aware Modulation for Neural Fields
Neural fields, mapping low-dimensional input coordinates to corresponding signals, have shown promising results in representing various signals. Numerous methodologies have been proposed, and techniques employing MLPs an…
Novel View SynthesisVideo CompressionDeep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming
Ensuring high-quality video content for wireless users has become increasingly vital. Nevertheless, maintaining a consistent level of video quality faces challenges due to the fluctuating encoded bitrate, primarily cause…
QuantizationVideo CompressionBlurry Video Compression: A Trade-off between Visual Enhancement and Data Compression
Existing video compression (VC) methods primarily aim to reduce the spatial and temporal redundancies between consecutive frames in a video while preserving its quality. In this regard, previous works have achieved remar…
Data CompressionVideo CompressionPerceptual Quality Improvement in Videoconferencing using Keyframes-based GAN
In the latest years, videoconferencing has taken a fundamental role in interpersonal relations, both for personal and business purposes. Lossy video compression algorithms are the enabling technology for videoconferencin…
Video CompressionVCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
In the blind single image super-resolution (SISR) task, existing works have been successful in restoring image-level unknown degradations. However, when a single video frame becomes the input, these works usually fail to…
Image CompressionImage Quality AssessmentImage Super-ResolutionNo-Reference Image Quality Assessment+3