Papers Video Compression
“Video Compression” 태그가 달린 논문 496편 · 필터 해제
NVRC: Neural Video Representation Compression
Recent advances in implicit neural representation (INR)-based video coding have demonstrated its potential to compete with both conventional and other learning-based approaches. With INR methods, a neural network is trai…
Model CompressionQuantizationVideo CompressionFrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings
Despite the growing adoption of video processing via Internet of Things (IoT) devices due to their cost-effectiveness, transmitting captured data to nearby servers poses challenges due to varying timing constraints and s…
Video CompressionVideo ReconstructionPNVC: Towards Practical INR-based Video Compression
Neural video compression has recently demonstrated significant potential to compete with conventional video codecs in terms of rate-quality performance. These learned video codecs are however associated with various issu…
Video CompressionUAV-Based Human Body Detector Selection and Fusion for Geolocated Saliency Map Generation
The problem of reliably detecting and geolocating objects of different classes in soft real-time is essential in many application areas, such as Search and Rescue performed using Unmanned Aerial Vehicles (UAVs). This res…
object-detectionObject DetectionVideo CompressionAIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of the Compressed Video Quality Assessment…
Image ManipulationvalidVideo CompressionVideo Quality Assessment+1Bi-Directional Deep Contextual Video Compression
Deep video compression has made remarkable process in recent years, with the majority of advancements concentrated on P-frame coding. Although efforts to enhance B-frame coding are ongoing, their compression performance …
Video CompressionWhen Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding
Existing codecs are designed to eliminate intrinsic redundancies to create a compact representation for compression. However, strong external priors from Multimodal Large Language Models (MLLMs) have not been explicitly …
Video CompressionVideo GenerationVideo ReconstructionSubjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality
We study the visual quality judgments of human subjects on digital human avatars (sometimes referred to as "holograms" in the parlance of virtual reality [VR] and augmented reality [AR] systems) that have been subjected …
Video CompressionVideo Quality AssessmentVisual Question Answering (VQA)Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration
Recent advances in video compression have seen significant coding performance improvements with the development of new standards and learning-based video codecs. However, most of these works focus on application scenario…
BenchmarkingVideo CompressionBVI-AOM: A New Training Dataset for Deep Video Compression Optimization
Deep learning is now playing an important role in enhancing the performance of conventional hybrid video codecs. These learning-based methods typically require diverse and representative training material for optimizatio…
Video CompressionTora: Trajectory-oriented Diffusion Transformer for Video Generation
Recent advancements in Diffusion Transformer (DiT) have demonstrated remarkable proficiency in producing high-quality video content. Nonetheless, the potential of transformer-based diffusion models for effectively genera…
Video CompressionVideo GenerationExploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study
What the human visual system can perceive is strongly limited by the capacity of our working memory and attention. Such limitations result in the human observer's inability to perceive large-scale changes in a stimulus, …
Computational EfficiencyQuantizationSaliency PredictionVideo CompressionNVC-1B: A Large Neural Video Coding Model
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still unexplored. In this paper, we try to expl…
DecodermodelVideo CompressionAccelerating Learned Video Compression via Low-Resolution Representation Learning
In recent years, the field of learned video compression has witnessed rapid advancement, exemplified by the latest neural video codecs DCVC-DC that has outperformed the upcoming next-generation codec ECM in terms of comp…
Parameter PredictionRepresentation LearningVideo CompressionReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
With the rapid growth of User-Generated Content (UGC) exchanged between users and sharing platforms, the need for video quality assessment in the wild is increasingly evident. UGC is typically acquired using consumer dev…
Optical Flow EstimationVideo CompressionVideo Quality AssessmentVisual Question Answering (VQA)Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
With the rapid advancement of stereo vision technologies, stereo image compression has emerged as a crucial field that continues to draw significant attention. Previous approaches have primarily employed a unidirectional…
Image CompressionMS-SSIMSSIMVideo CompressionNeural-based Video Compression on Solar Dynamics Observatory Images
NASA's Solar Dynamics Observatory (SDO) mission collects extensive data to monitor the Sun's daily activity. In the realm of space mission design, data compression plays a crucial role in addressing the challenges posed …
Data CompressionVideo CompressionManipulating a Tetris-Inspired 3D Video Representation
Video Synopsis is a technique that performs video compression in a way that preserves the activity in the video. This technique is particularly useful in surveillance and monitoring applications. Although it is still a n…
Object TrackingVideo CompressionVideo SynopsisMNeRV: A Multilayer Neural Representation for Videos
As a novel video representation method, Neural Representations for Videos (NeRV) has shown great potential in the fields of video compression, video restoration, and video interpolation. In the process of representing vi…
DecoderregressionVideo CompressionVideo RestorationOptimal Video Compression using Pixel Shift Tracking
The Video comprises approximately ~85\% of all internet traffic, but video encoding/compression is being historically done with hard coded rules, which has worked well but only to a certain limit. We have seen a surge in…
Point TrackingVideo Compression