Copertina

Kelvin v1.0: A Neural Pre-Encoder for H.264: A standards-compliant learned preprocessor with -27.62% BD-VMAF on UVG

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Graziano, Marco
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing Machine Learning Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data
di: Wang, Daoce, et al.
Pubblicazione: (2025)

FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework
di: Zhu, Jianian, et al.
Pubblicazione: (2025)

$2B$ or Not $2B$: A Tale of Three Algorithms for Streaming: Covariance Estimation after Welford and Chan-Golub-LeVeque
di: Reichel, Felix
Pubblicazione: (2026)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
di: Zhang, Xianzhi, et al.
Pubblicazione: (2024)

EdgeVision: Towards Collaborative Video Analytics on Distributed Edges for Performance Maximization
di: Gao, Guanyu, et al.
Pubblicazione: (2022)

Steganography -- coding and intercepting the information from encoded pictures in the absence of any initial information
di: Kwiatkowska, Monika, et al.
Pubblicazione: (2014)

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
di: Golden, Alicia, et al.
Pubblicazione: (2023)

Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
di: Heo, Jin, et al.
Pubblicazione: (2024)

AirGS: Real-Time 4D Gaussian Streaming for Free-Viewpoint Video Experiences
di: Wang, Zhe, et al.
Pubblicazione: (2025)

Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study
di: Wang, Zhe, et al.
Pubblicazione: (2024)

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis
di: Wu, Zhuojia, et al.
Pubblicazione: (2024)

AFLL: Real-time Load Stabilization for MMO Game Servers Based on Circular Causality Learning
di: Kang, Shinsuk, et al.
Pubblicazione: (2026)

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
di: Lyalikov, Dmitri
Pubblicazione: (2025)

Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time
di: Khoshsirat, Aria, et al.
Pubblicazione: (2023)

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
di: Chen, Haokun, et al.
Pubblicazione: (2024)

Health+: Empowering Individuals via Unifying Health Data
di: Maiyya, Sujaya, et al.
Pubblicazione: (2026)

FirecREST v2: lessons learned from redesigning an API for scalable HPC resource access
di: Palme, Elia, et al.
Pubblicazione: (2025)

Producer vs. Rapper: Who Dominates the Hip Hop Sound? A Case Study
di: Ziemer, Tim, et al.
Pubblicazione: (2024)

Bridging Global Frameworks: Governance Strategies Behind Cisco Common Control Framework v4.0 for Scalable Cloud Compliance
di: Sonkar, Nishant
Pubblicazione: (2025)

Toward Accessible and Safe Live Streaming Using Distributed Content Filtering with MoQ
di: Freeman, Andrew C.
Pubblicazione: (2025)

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
di: Zhan, Qiugang, et al.
Pubblicazione: (2024)

LongCat-Flash-Omni Technical Report
di: Meituan LongCat Team, et al.
Pubblicazione: (2025)

Clock2Q+: A Simple and Efficient Replacement Algorithm for Metadata Cache in VMware vSAN
di: Zhai, Yiyan, et al.
Pubblicazione: (2025)

An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder
di: Kargar-Barzi, Amin, et al.
Pubblicazione: (2023)

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
di: Li, Haoyang, et al.
Pubblicazione: (2025)

Trace-based, time-resolved analysis of MPI application performance using standard metrics
di: Haldar, Kingshuk
Pubblicazione: (2025)

vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models
di: Yin, Peiqi, et al.
Pubblicazione: (2026)

vPALs: Towards Verified Performance-aware Learning System For Resource Management
di: He, Guoliang, et al.
Pubblicazione: (2024)

GeoFF: Federated Serverless Workflows with Data Pre-Fetching
di: Carl, Natalie, et al.
Pubblicazione: (2024)

Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
di: Venieri, Emanuele, et al.
Pubblicazione: (2025)

Monte Cimone v3: Where RISC-V Stands in High-Performance Computing
di: Venieri, Emanuele, et al.
Pubblicazione: (2026)

A Kubernetes custom scheduler based on reinforcement learning for compute-intensive pods
di: Zhou, Hanlin, et al.
Pubblicazione: (2026)

Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources
di: Banerjee, Roopkatha, et al.
Pubblicazione: (2025)

Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
di: West, Kathleen, et al.
Pubblicazione: (2026)

Beyond Pre-Training: The Full Lifecycle of Foundation Models on HPC Systems
di: Conciatore, Dino, et al.
Pubblicazione: (2026)

Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP
di: Zhao, Yilong, et al.
Pubblicazione: (2026)

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
di: Jiao, Pu, et al.
Pubblicazione: (2026)

IPMN Risk Assessment under Federated Learning Paradigm
di: Pan, Hongyi, et al.
Pubblicazione: (2024)

Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation
di: Chen, Jingyun, et al.
Pubblicazione: (2024)

Cryo-RALib -- a modular library for accelerating alignment in cryo-EM
di: Chung, Szu-Chi, et al.
Pubblicazione: (2020)