Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
Slimmable Video Codec
Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performances, but still remaining impractical due t…
Video CompressionAn Interactive Annotation Tool for Perceptual Video Compression
Human perception is at the core of lossy video compression and yet, it is challenging to collect data that is sufficiently dense to drive compression. In perceptual quality assessment, human feedback is typically collect…
Video CompressionBlock Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms
We consider the image and video compression on resource limited platforms. An ultra low-cost image encoder, named Block Modulating Video Compression (BMVC) with an encoding complexity ${\cal O}(1)$ is proposed to be impl…
DecoderImage CompressionQuantizationVideo CompressionPer Clip Lagrangian Multiplier Optimisation for HEVC
The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate dist…
Video CompressionNear Optimal Per-Clip Lagrangian Multiplier Prediction in HEVC
The majority of internet traffic is video content. This drives the demand for video compression to deliver high quality video at low target bitrates. Optimising the parameters of a video codec for a specific video clip (…
Video CompressionFast optimization of common basis for matrix set through Common Singular Value Decomposition
SVD (singular value decomposition) is one of the basic tools of machine learning, allowing to optimize basis for a given matrix. However, sometimes we have a set of matrices $\{A_k\}_k$ instead, and would like to optimiz…
Video CompressionWireless Semantic Communications for Video Conferencing
Video conferencing has become a popular mode of meeting even if it consumes considerable communication resources. Conventional video compression causes resolution reduction under limited bandwidth. Semantic video confere…
Semantic CommunicationVideo CompressionFoveation-based Deep Video Compression without Motion Search
The requirements of much larger file sizes, different storage formats, and immersive viewing conditions of VR pose significant challenges to the goals of acquiring, transmitting, compressing, and displaying high-quality …
Foveationmotion predictionVideo CompressionNeural Face Video Compression using Multiple Views
Recent advances in deep generative models led to the development of neural face video compression codecs that use an order of magnitude less bandwidth than engineered codecs. These neural codecs reconstruct the current f…
Video CompressionEnd-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training
Learned image compression research has achieved state-of-the-art compression performance with auto-encoder based neural network architectures, where the image is mapped via convolutional neural networks (CNN) into a late…
Image CompressionVideo CompressionRoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression
Video compression plays a crucial role in video streaming and classification systems by maximizing the end-user quality of experience (QoE) at a given bandwidth budget. In this paper, we conduct the first systematic stud…
Adversarial AttackClassificationDenoisingVideo Classification+2Diffusion Probabilistic Modeling for Video Generation
Denoising diffusion probabilistic models are a promising new class of generative models that mark a milestone in high-quality image generation. This paper showcases their ability to sequentially generate video, surpassin…
DenoisingImage GenerationVideo CompressionVideo GenerationEstimating the HEVC Decoding Energy Using the Decoder Processing Time
This paper presents a method to accurately estimate the required decoding energy for a given HEVC software decoding solution. We show that the decoder's processing time as returned by common C++ and UNIX functions is a h…
DecodervalidVideo CompressionRegion-of-Interest Based Neural Video Compression
Humans do not perceive all parts of a scene with the same resolution, but rather focus on few regions of interest (ROIs). Traditional Object-Based codecs take advantage of this biological intuition, and are capable of no…
QuantizationVideo CompressionBeyond Bjøntegaard: Limits of Video Compression Performance Comparisons
For 20 years, the gold standard to evaluate the performance of video codecs is to calculate average differences between ratedistortion curves, also called the "Bj{\o}ntegaard Delta". With the help of this tool, the compr…
validVideo CompressionA Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding
There are many tasks within video compression which require fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to e…
Video CompressionMuZero with Self-competition for Rate Control in VP9 Video Compression
Video streaming usage has seen a significant rise as entertainment, education, and business increasingly rely on online video. Optimizing video compression has the potential to increase access and quality of content to u…
Decision MakingQuantizationSequential Decision MakingVideo CompressionDilated convolutional neural network-based deep reference picture generation for video compression
Motion estimation and motion compensation are indispensable parts of inter prediction in video coding. Since the motion vector of objects is mostly in fractional pixel units, original reference pictures may not accuratel…
Motion CompensationMotion EstimationVideo CompressionA Coding Framework and Benchmark towards Low-Bitrate Video Understanding
Video compression is indispensable to most video analysis systems. Despite saving transportation bandwidth, it also deteriorates downstream video understanding tasks, especially at low-bitrate settings. To systematically…
Video CompressionVideo UnderstandingDoes Video Compression Impact Tracking Accuracy?
Everyone "knows" that compressing a video will degrade the accuracy of object tracking. Yet, a literature search on this topic reveals that there is very little documented evidence for this presumed fact. Part of the rea…
Multiple Object TrackingObjectObject TrackingQuantization+1