Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
AlphaVC: High-Performance and Efficient Learned Video Compression
Recently, learned video compression has drawn lots of attention and show a rapid development trend with promising results. However, the previous works still suffer from some criticial issues and have a performance gap wi…
Decodermotion predictionVideo CompressionVocal Bursts Intensity PredictionExplaining Deepfake Detection by Analysing Image Matching
This paper aims to interpret how deepfake detection models learn artifact features of images when just supervised by binary labels. To this end, three hypotheses from the perspective of image matching are proposed as fol…
DeepFake DetectionFace SwappingVideo CompressionMobileCodec: Neural Inter-frame Video Compression on Mobile Devices
Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware. We demonstrate practical f…
DecoderVideo CompressionEnhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content. However, HDR content is typically more challenging to encode due…
DecoderVideo CompressionFloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation
Video frame interpolation (VFI) serves as a useful tool for many video processing applications. Recently, it has also been applied in the video compression domain for enhancing both conventional video codecs and learning…
Video CompressionVideo Frame InterpolationNeighbor Correspondence Matching for Flow-based Video Frame Synthesis
Video frame synthesis, which consists of interpolation and extrapolation, is an essential video processing technique that can be applied to various scenarios. However, most existing methods cannot handle small objects or…
4kVideo CompressionVideo Frame InterpolationHybrid Spatial-Temporal Entropy Modelling for Neural Video Compression
For neural video codec, it is critical, yet challenging, to design an efficient entropy model which can accurately predict the probability distribution of the quantized latent representation. However, most existing video…
QuantizationVideo CompressionCANF-VC: Conditional Augmented Normalizing Flows for Video Compression
This paper presents an end-to-end learning-based video compression system, termed CANF-VC, based on conditional augmented normalizing flows (CANF). Most learned video compression systems adopt the same hybrid-based codin…
Video CompressionLearned Video Compression via Heterogeneous Deformable Compensation Network
Learned video compression has recently emerged as an essential research topic in developing advanced video compression technologies, where motion compensation is considered one of the most challenging issues. In this pap…
Motion CompensationOptical Flow EstimationVideo CompressionRevisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks
The Sample Adaptive Offset (SAO) filter has been introduced in HEVC to reduce general coding and banding artefacts in the reconstructed pictures, in complement to the De-Blocking Filter (DBF) which reduces artifacts at b…
BlockingVideo CompressionVideo Coding Using Learned Latent GAN Compression
We propose in this paper a new paradigm for facial video compression. We leverage the generative capacity of GANs such as StyleGAN to represent and compress a video, including intra and inter compression. Each frame is i…
Video CompressionFAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate
Recently, high-quality video conferencing with fewer transmission bits has become a very hot and challenging problem. We propose FAIVConf, a specially designed video compression framework for video conferencing, based on…
Face GenerationFace SwappingVideo CompressionRobust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness
Videos are prone to tampering attacks that alter the meaning and deceive the audience. Previous video forgery detection schemes find tiny clues to locate the tampered areas. However, attackers can successfully evade supe…
DecoderVideo CompressionModeling the HEVC Encoding Energy Using the Encoder Processing Time
The global significance of energy consumption of video communication renders research on the energy need of video coding an important task. To do so, usually, a dedicated setup is needed that measures the energy of the e…
Video CompressionFlexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocation
This paper presents improvements and novel additions to our recent work on end-to-end optimized hierarchical bi-directional video compression to further advance the state-of-the-art in learned video compression. As an im…
Image CompressionMotion EstimationVideo CompressionOptical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation
Recent works have shown the ability of Implicit Neural Representations (INR) to carry meaningful representations of signal derivatives. In this work, we leverage this property to perform Video Frame Interpolation (VFI) b…
Optical Flow EstimationVideo CompressionVideo Frame InterpolationOn the benefit of parameter-driven approaches for the modeling and the prediction of Satisfied User Ratio for compressed video
The human eye cannot perceive small pixel changes in images or videos until a certain threshold of distortion. In the context of video compression, Just Noticeable Difference (JND) is the smallest distortion level from w…
Video CompressionCoarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards like H.264/H.265 for both motion and res…
Motion CompensationMotion EstimationPredictionVideo CompressionVCT: A Video Compression Transformer
We show how transformers can be used to vastly simplify neural video compression. Previous methods have been relying on an increasing number of architectural biases and priors, including motion prediction and warping ope…
motion predictionVideo CompressionIntroducing AV1 Codec-Level Video Steganography
Steganography is the ancient art of concealing messages into data. High research interest has grown over the last years, however, techniques in literature are only focused on standard and in some way legacy multimedia fo…
Video Compression