Results 31 to 40 of about 30,584 (306)

An integrative semantic framework for image annotation and retrieval [PDF]

, 2007
Most public image retrieval engines utilise free-text search mechanisms, which often return inaccurate matches as they in principle rely on statistical analysis of query keyword recurrence in the image annotation or surrounding text.
VELARDI, Paola, PETIT, M, Phil Lakin, Osman, Taha, Schaefer, Gerald, Lakin, P, CUCCHIARELLI, A, Thakker, Dhavalkumar, Paola Velardi, Dhavalkumar Thakker, Cucchiarelli, Alessandro, Petit, Michaël, Schaefer, G, Lakin, Phil, Alessandro Cucchiarelli, VELARDI, P, A. CUCCHIARELLI, Taha Osman, Michael Petit, M. PETIT, Gerald Schaefer, Osman, T, Thakker, D   +22 more
core   +1 more source

ASALTAG : Automatic Image Annotation Through Salient Object Detection and Improved k-Nearest Neighbor Feature Matching

Journal of Electrical, Electronics and Informatics, 2018
Image databases are becoming very large nowadays, and there is an increasing need for automatic image annotation, for assiting on finding the desired specific image.
Theresia Hendrawati, Duman Care Khrisne
doaj   +1 more source

Automatic annotation and performance evaluation of orchard pear fruit using SAM-based zero-shot segmentation

Smart Agricultural Technology
High-quality annotated data are essential for training high-performance models; therefore, the automatic annotation of instance segmentation training datasets helps improve model development efficiency and reduce development costs.
Xiaole Wang, Xuan lv, Xin Xing, Xingchen Qiao, Yu Yang, Kuangyan Zhang, Yujie Liu, Yuang Yang, Yichen Yang, Bowen Luo, Tianze Ji, Xinran Li, Weiyue Xu, Junxian Sun, Yan Zou, Yangyang Liu, Yang Yang, Zhenchao Wu, Liqing Chen   +18 more
doaj   +1 more source

Automatic Image Annotation for Semantic Image Retrieval

, 2007
This paper addresses the challenge of automatic annotation of images for semantic image retrieval. In this research, we aim to identify visual features that are suitable for semantic annotation tasks. We propose an image classification system that combines MPEG-7 visual descriptors and support vector machines.
Wenbin Shao, Golshah Naghdy, Son Lam Phung   +2 more
openaire   +3 more sources

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Automatic human face detection for content-based image annotation [PDF]

, 2008
In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Richard M. Jiang, Abdul H. Sadka, Jiang, M, Sadka, A H, Jiang, R.M., Zhou, H, Jiang, Richard M., Sadka, Abdul H., Huiyu Zhou, Zhou, Huiyu, Sadka, A.   +10 more
core   +1 more source

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. [PDF]

PLoS ONE, 2018
The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain.
Obioma Pelka, Felix Nensa, Christoph M Friedrich   +2 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models

Remote Sensing
Instance segmentation is pivotal in remote sensing image (RSI) analysis, aiding in many downstream tasks. However, annotating images with pixel-wise annotations is time-consuming and laborious.
Huadong Li, Ying Wei, Han Peng, Wei Zhang   +3 more
doaj   +1 more source

DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning

IEEE Access, 2022
Automatic image annotation (AIA) has been adopted in different applications such as image retrieval and classification. Deep Learning is used in AIA to extract image features and then convert these features into text descriptions and labels.
Abeer Alshehri, Mounira Taileb, Reem Alotaibi   +2 more
doaj   +1 more source