Results 31 to 40 of about 4,466,347 (298)

Unsupervised Class Generation to Expand Semantic Segmentation Datasets

Journal of Imaging
Semantic segmentation is a computer vision task where classification is performed at the pixel level. Due to this, the process of labeling images for semantic segmentation is time-consuming and expensive.
Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel   +3 more
doaj   +1 more source

An efficient geometric partitioning mode by adaptive blending method for screen content coding

Electronics Letters, 2023
Geometric partitioning mode (GPM) was newly adopted in Versatile Video Coding (VVC) to increase the partitioning precision of the arbitrary boundaries of actual objects.
Minhun Lee, Seoung‐Jun Oh, Donggyu Sim
doaj   +1 more source

A Low-Cost and Fast Vehicle Detection Algorithm With a Monocular Camera for Adaptive Driving Beam Systems

IEEE Access, 2021
The adaptive driving beam headlamp system is helpful to solve the traffic safety problems caused by the abuse of high beams at night. The fundamental problem for the adaptive driving beam system is to detect and track the vehicles at specific night ...
Shanghong Li, Linhui Zhao
doaj   +1 more source

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman, Emma Fleisher, Megan E. Salwei, Debra Friedman, Laurie Novak   +4 more
wiley   +1 more source

Video Processing in occam-pi [PDF]

, 2006
The occam-pi language provides many novel features for concurrent software development. This paper describes a video processing framework that explores the use of these features for multimedia applications. Processes are used to encapsulate operations on
Barnes, Frederick R.M., Sampson, Adam T., Ritson, Carl G.   +2 more
core  

Video Analytic Based Health Monitoring for Driver in Moving Vehicle by Extracting Effective Heart Rate Inducing Features

Journal of Advanced Transportation, 2018
We propose a novel remote heart rate (HR) estimation method using facial images based on video analytics. Most of previous methods have been demonstrated in well-controlled indoor environments.
Kanghyu Lee, David K. Han, Hanseok Ko
doaj   +1 more source

Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection

IEEE Access, 2018
It has been recognized that deeper and wider neural networks are continuously advancing the state-of-the-art performance of various computer vision and machine learning tasks.
Wenming Cao, Jianhe Yuan, Zhihai He, Zhi Zhang, Zhiquan He   +4 more
doaj   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

An automatic technique for visual quality classification for MPEG-1 video [PDF]

, 2001
The Centre for Digital Video Processing at Dublin City University developed Fischlar [1], a web-based system for recording, analysis, browsing and playback of digitally captured television programs.
Murphy, Noel, O'Connor, Noel E., Sav, Sorin Vasile, Marlow, Seán, O\u27Connor, Noel E.   +4 more
core   +2 more sources

Video-Based Contactless Heart-Rate Detection and Counting via Joint Blind Source Separation with Adaptive Noise Canceller

Applied Sciences, 2019
Driver assistance systems are a major focus of the automotive industry. Although technological functions that help drivers are improving, the monitoring of driver state functions receives less attention.
Kanghyu Lee, Junmuk Lee, Changwoo Ha, Minseok Han, Hanseok Ko   +4 more
doaj   +1 more source