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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

Image Annotations by using K-Means and C4.5 Algorithms

http://hdl.handle.net/20.500.12678/0000007747
http://hdl.handle.net/20.500.12678/0000007747
0a6448cb-e4fd-458c-b077-069f118ac998
af11dfac-735e-4610-8172-85d01191f536
None
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Image Image Annotations by using K-Means and C4.5 Algorithms.jpeg (713 KB)
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Publication type
Conference paper
Upload type
Publication
Title
Title Image Annotations by using K-Means and C4.5 Algorithms
Language en
Publication date 2011-12-06
Authors
Kyawt Kyawt Htay
Description
With the rapid technological growth, availability of digital images in World Wide Web has increased. Since the data levels available in these databases are also increasing enormously. This is very difficult to recognize or retrieve an image of interest instantaneously. This paper presents a method for image annotations using K-Means and C4.5 algorithms in order to retrieve the images of interest basing on the pattern or feature with minimum time period. The main disadvantages of the existing methods present in the literature are the retrieval of images that is done with one to one mapping strategy. This paper focuses on extracting the image of interest across the web in an efficient manner based on the pattern and behaviour.
Keywords
C4.5, Image Annotation,Feature set, Machine Learning, Image Segmentation, K-Means Algorithm
Conference papers
AICT
2011-12-06
Applied Information and Communication Technology
7
UCSM, Myanmar
4
www.ucsm.edu.mm
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