2012
DOI: 10.14569/ijacsa.2012.031126
|View full text |Cite
|
Sign up to set email alerts
|

Multilayer Neural Networks and Nearest Neighbor Classifier Performances for Image Annotation

Abstract: Abstract-The explosive growth of image data leads to the research and development of image content searching and indexing systems. Image annotation systems aim at annotating automatically animage with some controlled keywords that can be used for indexing and retrieval of images. This paper presents a comparative evaluation of the image content annotation system by using the multilayer neural networks and the nearest neighbour classifier. The region growing segmentation is used to separate objects, the Hu mome… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2013
2013
2016
2016

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 15 publications
0
7
0
Order By: Relevance
“…They can be combined together with descriptors in order to increase the recognition rates of amazigh characters. This document presents the combination of some classification approaches (Neuronal Network, Bayesian network, SVM, nearest neighbor classifiers) known in the recognition field [7].…”
Section: Classificationmentioning
confidence: 99%
See 1 more Smart Citation
“…They can be combined together with descriptors in order to increase the recognition rates of amazigh characters. This document presents the combination of some classification approaches (Neuronal Network, Bayesian network, SVM, nearest neighbor classifiers) known in the recognition field [7].…”
Section: Classificationmentioning
confidence: 99%
“…Fig. 3 shows an example of a three layer network used in this paper, having input layer formed by M nodes, one hidden layer formed by L nodes, and output layer formed by N nodes [7].…”
Section: Neural Networkmentioning
confidence: 99%
“…As an improvement of the previous works [12], [13], [14], [15], we consider this problem for image that are only described globally or not yet labelled with a suitable text terms. Also, individual classifier and features descriptor results are limited or not suited for some situations [16].…”
Section: Annotation Systemmentioning
confidence: 99%
“…As a result, this document presents some approaches (Neuronal Network, SVM, nearest neighbor classifiers) known in the recognition field [4].…”
Section: Classificationmentioning
confidence: 99%