Results 281 to 290 of about 1,716,023 (337)

Semi automatic annotation tool

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
When image labeling (annotation) process for image retrieval is performed by fully automatic algorithms, labels have noise, errors and missing labels. Correcting labels gathered automatically from web (using information around an image such as text, user-tags, etc.) is done manually using human labor. Therefore, coordination of different indivuduals is
Tugce Dongel, Hakan Cevikalp
openaire   +1 more source

Semi-Automatic Semantic Annotation of Images

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007
Detailed, consistent semantic annotation of large collections of multimedia data is difficult and time-consuming. In domains such as eScience, digital curation and industrial monitoring, finegrained high-quality labeling of regions enables advanced semantic querying, analysis and aggregation and supports collaborative research.
Little S, Salvetti O, Perner P
openaire   +3 more sources

Towards Automatic and Fast Annotation of Seismocardiogram Signals Using Machine Learning

IEEE Sensors Journal, 2020
The automatic annotation of Seismocardiogram (SCG) potentially aid to estimate various cardiac health parameters continuously. However, the inter-subject variability of SCG poses great difficulties to automate its accurate annotation.
H. Thakkar, P. Sahoo
semanticscholar   +1 more source

Automatic annotation of protein function

Current Opinion in Structural Biology, 2005
The annotation of protein function at genomic scale is essential for day-to-day work in biology and for any systematic approach to the modeling of biological systems. Currently, functional annotation is essentially based on the expansion of the relatively small number of experimentally determined functions to large collections of proteins.
openaire   +2 more sources

Semi-automatic Image Annotation

2013
High quality ground truth data is essential for the development of image recognition systems. General purpose datasets are widely used in research, but they are not suitable as training sets for specialized real-world recognition tasks. The manual annotation of custom ground truth data sets is expensive, but machine learning techniques can be applied ...
Julia Moehrmann, Gunther Heidemann
openaire   +1 more source

Automatic Image Annotation Using GHSOM

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009
Due to the improvement of digital image technology and increasing amount of digital image data, the issue of automatic image annotation technology and applications becomes more and more important. In order to retrieval image efficiently, it is important to extract and represent the semantics of images.
Hsin-Chang Yang, Chung-Hong Lee, Chih-Hsiang Chuang   +2 more
openaire   +1 more source

Automatic annotation of outdoor photographs

SPIE Proceedings, 2011
We propose here a strategy for the automatic annotation of outdoor photographs. Images are segmented in homogeneous regions which may be then assigned to seven different classes: sky, vegetation, snow, water, ground, street, and sand. These categories allows for content-aware image processing strategies. Our annotation strategy uses a normalized cut
Cusano, C, SCHETTINI, RAIMONDO
openaire   +1 more source

End-to-End Automatic Image Annotation Based on Deep CNN and Multi-Label Data Augmentation

IEEE transactions on multimedia, 2019
Automatic image annotation is a key step in image retrieval and image understanding. In this paper, we present an end-to-end automatic image annotation method based on a deep convolutional neural network (CNN) and multi-label data augmentation. Different
Xiao Ke, Jiawei Zou, Yuzhen Niu
semanticscholar   +1 more source

Automatic Maintenance of Semantic Annotations

2017
Biomedical Knowledge Organization Systems (KOS) play a key role in enriching information in order to make them machine understandable. This is done through semantic annotation which consists in the association of concept labels taken from KOS with pieces of digital information taken from the source to annotate.
openaire   +2 more sources

Automatic Processing of Document Annotations

Procedings of the British Machine Vision Conference 1998, 1998
A common authoring technique involves making annotations on a printed draft and then typing the corrections into a computer at a later date. In this paper, we describe a system that goes some way towards automating this process. The author simply passes the annotated documents through a sheetfeed scanner and then brings up the electronic document in a ...
J. Stevens, A. Gee, C. Dance
openaire   +1 more source