Results 131 to 140 of about 12,320 (308)

Anomaly Detection in Live Streaming Videos

A Paper based data analysing and deep learning finding about anomalies in live streaming videos.
Jain, Divya, Vishnoi, Anshika, Dubey, Harsh   +2 more
openaire   +1 more source

Exploiting Heterogeneity in P2P Video Streaming [PDF]

, 2011
Ana Paula Couto da Silva, Michela Meo, Mellia, Marco, Meo, Michela, Emilio Leonardi, Marco Mellia, Leonardi, Emilio, Couto Da Silva, Ana Paula   +7 more
core   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Stream Hub: Video Chat and Live Streaming Platform

International Journal for Research in Applied Science and Engineering Technology
Summary: With its emphasis on user-centric features, SyncMate is a trailblazing advancement in distant collaboration that improves digital teamwork. Focusing on smooth file sharing and high-quality video conferencing, SyncMate creates realistic online meetings where communication is easy.
openaire   +1 more source

Optimal Transcoding Preset Selection for Live Video Streaming

CoRR
23 pages, 10 ...
Zahra Nabizadeh, Maedeh Jamali, Nader Karimi, Shadrokh Samavi, Shahram Shirani   +4 more
openaire   +2 more sources

P2P live streaming towards best video quality

, 2008
P2P live streaming towards best video ...
Z Huang (11552365), D Tsang (7744517), Hao Luan (13098021), K W Kwong (13703713)   +3 more
core  

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

TikTok and Eating Disorders: A Narrative Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok has rapidly become one of the world's most influential social media platforms, distinguished by its algorithmically personalized video feed. Its design prioritizes continuous, engagement‐optimized content delivery, raising questions about how such environments may shape eating disorder risk, symptom maintenance, and recovery ...
Scott Griffiths, Sami Hondrogiannis, Noa Brittain   +2 more
wiley   +1 more source

Risk Assessment of Live-Streaming Marketing Based on Hesitant Fuzzy Multi-Attribute Group Decision-Making Method

Journal of Theoretical and Applied Electronic Commerce Research
(1) Background: With the deep integration of e-commerce and video technology, live-streaming marketing has emerged globally and maintained rapid growth.
Changlu Zhang, Yuchen Wang, Jian Zhang
doaj   +1 more source

P2P Live Video Streaming

, 2010
The ever increasing demand for video content directed the focus of researchfrom traditional server-based schemes to peer-to-peer systems for videodelivery. In such systems, video data is delivered to the users by utilizing theresources of the users themselves, leading to a potentially scalable solution.Users connect to each other, forming a p2p overlay
openaire   +1 more source