Results 91 to 100 of about 70,451 (127)

Expert recommendations on collection and annotation of otoscopy images for intelligent medicine

Intelligent Medicine, 2022
Middle and outer ear diseases are common otological diseases worldwide. Otoscopy and otoendoscopy examinations are essential first steps in the evaluation of patients with otological diseases. Misdiagnosis often occurs when the doctor lacks experience in
Yuexin Cai, Junbo Zeng, Liping Lan, Suijun Chen, Yongkang Ou, Linqi Zeng, Qintai Yang, Peng Li, Yubin Chen, Qi Li, Hongzheng Zhang, Fan Shu, Guoping Chen, Wenben Chen, Yahan Yang, Ruiyang Li, Anqi Yan, Haotian Lin, Yiqing Zheng   +18 more
doaj  

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.
Lewis, Paul H., Muda, Zurina, Payne, Terry R., Weal, Mark   +3 more
core  

Mind the Gap: Another look at the problem of the semantic gap in image retrieval

, 2006
This paper attempts to review and characterise the problem of the semantic gap in image retrieval and the attempts being made to bridge it. In particular, we draw from our own experience in user queries, automatic annotation and ontological techniques ...
Enser, Peter G. B., Hare, Jonathon S., Lewis, Paul H., Sandom, Christine J.   +3 more
core  

HOLa: HoloLens Object Labeling

Current Directions in Biomedical Engineering
In the context of medical Augmented Reality (AR) applications, object tracking is a key challenge and requires a significant amount of annotation masks.
Schwimmbeck Michael, Khajarian Serouj, Holzapfel Konstantin, Schmidt Johannes, Remmele Stefanie   +4 more
doaj   +1 more source

Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning

Scientific Reports
The cast thin sections of tight oil reservoirs contain important parameters such as rock mineral composition and content, porosity, permeability and stratigraphic characteristics, which are of great significance for reservoir evaluation.
Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li   +9 more
doaj   +1 more source

Archeology Images Segmentation for the Automatic Annotation

, 2018
Archeology images automatic annotation is an effective way for content based image retrieval. This paper shows the proposal of segmentation for the automatic annotation. This segmentation is based on the split method which is a technique of the hybrid approach of image segmentation.
Salah, Marwa, Yengui, Ameni, Miracl, Mahmoud   +2 more
openaire   +2 more sources

Automatic Image Annotation by Fusing Semantic Topics

Journal of Software, 2011
Zhi-Ping Shi, Zhi-Xin Li, Zhi-Qing Li, Zhong-Zhi Shi   +3 more
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

A survey on automatic image annotation

Applied Intelligence, 2020
Automatic image annotation is a crucial area in computer vision, which plays a significant role in image retrieval, image description, and so on. Along with the internet technique developing, there are numerous images posted on the web, resulting in the fact that it is a challenge to annotate images only by humans.
Wenzhong Guo, Xiaojun Zeng, Xing Chen, Yilu Chen   +3 more
openaire   +2 more sources

Automatic image annotation refinement

2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016
Automatic image annotation methods automatically assign labels to images in order to facilitate tasks such as image retrieval, search, organizing and management. Incorrect labels may negatively influence the search results so image annotation should be as accurate as possible.
Miran Pobar, Marina Ivašić-Kos
openaire   +2 more sources

Geo-based automatic image annotation

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012
A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval can be achieved. In this paper an automatic image annotation approach is proposed.
Sergieh, HM, Döller, M, Egyed-Zsigmond, E, Gianini, G, Kosch, H, Pinon, JM   +5 more
openaire   +4 more sources