Results 131 to 140 of about 30,584 (306)

Relating visual and semantic image descriptors [PDF]

, 2004
This paper addresses the automatic analysis of visual content and extraction of metadata beyond pure visual descriptors. Two approaches are described: Automatic Image Annotation (AIA) and Confidence Clustering (CC). AIA attempts to automatically classify
Stauder, Jurgen, J. Stauder, O'Connor, Noel E., J. Sirot, Le Borgne, Hervé, N. E. O’connor, Cooke, Eddie, E. Cooke, H. Le Borgne, O\u27Connor, Noel E., Sirot, Joel   +10 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Enhancing Automatic Annotation for Optimal Image Retrieval

, 2018
Image search and retrieval based on content is very cumbersome task particularly when the image database is large. The accuracy of the retrieval as well as the processing speed are two important measures used for assessing and comparing the effectiveness
Masoud, Mohamed
core   +1 more source

Image Segmentation for Automatic Needle Puncture Annotation in Vibroacoustic Signals

Current Directions in Biomedical Engineering
Manual annotation of biomedical data is often a prolonged and error-prone process, particularly in scenarios involving dynamic physical interactions, such as needle insertions into soft tissue.
Strama Karol, Steeg Katharina, Rzepka Dominik, Kos Artur, Krombach Gabriele A., Heryan Katarzyna, Friebe Michael H.   +6 more
doaj   +1 more source

A Lethal Progressive Neuroinflammation Disguised as MOGAD Revealing a Final Diagnosis of Griscelli Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
Chiara Veredice, Chiara Arpaia, Ilaria Contaldo, Anna Capasso, Donato Rigante   +4 more
wiley   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Enhanced image annotations based on spatial information extraction and ontologies

Current research on image annotation often represents images in terms of labelled regions or objects, but pays little attention to the spatial positions or relationships between those regions or objects.
Payne, Terry R., Muda, Zurina, Lewis, Paul H., Weal, Mark   +3 more
core  

Multi modal multi-semantic image retrieval

, 2010
PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
core  

Review: Automatic Semantic Image Annotation

, 2016
There are many approaches for automatic annotation in digital images. Nowadays digital photography is a common technology for capturing and archiving images because of the digital cameras and storage devices reasonable price.
Shereen A. Hussein, Howida Youssry Abd El Naby, Aliaa A. A. Youssif   +2 more
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source