Results 81 to 90 of about 70,451 (127)

Tools for image annotation Using context-awareness, NFC and image clustering [PDF]

open access: yes, 2014
Annotation of images is crucial for enabling keyword based imagesearch. However, the enormous amount of available digital photos makesmanual annotation impractical, and requires methods for automaticimage annotation.
Andersen, Anders, Karlsen, Randi
core   +1 more source

Annotating Object Instances with a Polygon-RNN

open access: yes, 2017
We propose an approach for semi-automatic annotation of object instances. While most current methods treat object segmentation as a pixel-labeling problem, we here cast it as a polygon prediction task, mimicking how most current datasets have been ...
Castrejon, Lluis   +3 more
core   +1 more source

Reliability and effectiveness of clickthrough data for automatic image annotation [PDF]

open access: yes, 2010
Automatic image annotation using supervised learning is performed by concept classifiers trained on labelled example images. This work proposes the use of clickthrough data collected from search logs as a source for the automatic generation of concept ...
Delopoulos, A.   +3 more
core  

Automatic Annotation of Images in Persian Scientific Documents Based on Text Analysis Methods

open access: yesIranian Journal of Information Processing & Management, 2022
In this paper a new method for annotating images in Persian scientific documents is suggested. Images in scientific documents contain valuable information.
Azadeh fakhrzadeh   +2 more
doaj  

Integration of Image Feature and Word Relevance: Toward Automatic Image Annotation in Cyber-Physical-Social Systems

open access: yesIEEE Access, 2018
Image annotation is challenging due to the explosive increase of image data in cyber-physical-social systems. Because of the semantic gap between images and corresponding labels, it has attracted extensive attentions in recent years.
Zhaolong Ning   +3 more
doaj   +1 more source

Enhancing Automatic Annotation for Optimal Image Retrieval [PDF]

open access: yes, 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

ULTRASOUND LUNG IMAGES AUTOMATIC ANNOTATION

open access: yesInternational Journal of Computer Science and Informatics, 2013
This paper aims at an elegant mixture of methods for automatic annotation, detection, clustering, segmentation and retrieval of ultrasound lung images. The annotation of lung images done by using a method called Speeded up Robust Features that is based on the Support Vector Machine classifier.
E.Srinivasa Reddy, V. Ramachandran
openaire   +1 more source

Automatic Image Tagging Model Based on Multigrid Image Segmentation and Object Recognition

open access: yesAdvances in Multimedia, 2014
Since rapid growth of Internet technologies and mobile devices, multimedia data such as images and videos are explosively growing on the Internet. Managing large scale multimedia data with correct tags and annotations is very important task.
Woogyoung Jun   +2 more
doaj   +1 more source

Exploring Weighted Dual Graph Regularized Non-Negative Matrix Tri-Factorization Based Collaborative Filtering Framework for Multi-Label Annotation of Remote Sensing Images

open access: yesRemote Sensing, 2019
Manually annotating remote sensing images is laborious work, especially on large-scale datasets. To improve the efficiency of this work, we propose an automatic annotation method for remote sensing images.
Juli Zhang   +3 more
doaj   +1 more source

Automatic MRI Lymph Node Annotation From CT Labels

open access: yesIEEE Access
After annotating a medical imaging modality that is relatively straightforward to label, doctors often expect automatic annotations for images from other modalities of the same region, even though these modalities differ in contrast and structure.
Souraja Kundu   +7 more
doaj   +1 more source

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