A
Semantic Image Classifier Based on Hierarchical Fuzzy Association Rule Mining
Submitted to MULTIMEDIA TOOLS AND APPLICATION, 2012
Abolfazl Tazareea,
Amir-Masud Eftekhari-Moghadamb,
Saeedeh Sajjadi-Ghaem-Maghamic
Faculty
of Electrical, Computer and IT Engineering, Azad University, Qazvin Branch,
Qazvin, Iran.
a tazaree@gmail.com, b eftekhari@qiau.ac.ir, c s.ghaemmaghami@qiau.ac.ir
Abstract One major challenge in
the content-based
information retrieval and machine learning is to build the
so-called "semantic classifier" which effectively and
efficiently classifies semantic concepts in a large database. This paper deals with the semantic image
classifier based on hierarchical Fuzzy Association Rules (FARs) mining in the
image database. Intuitively, an
association rule is
a unique and
significant combination of image features and a semantic concept, which
determines the grade of
correlation between features and concept. The main idea
behind this approach is that any image visual concept has some associated
features, which there are strong correlations between the concept and its
corresponding features. Regardless of the semantic gap, an image concept
appears when the corresponding features emerge in an image and vice versa.
Specially, paper contribution is to propose a novel Fuzzy Association Rule for
improving traditional association rules. Moreover, we are concerned that
establishing a hierarchical fuzzy rule base in training phase and setup corresponding
fuzzy inference engine to classify images in testing phase. Presented approach
is independent of image segmentation also can apply on multi-label images. Experimental results on a database of 6000
general-purpose images demonstrate the superiority of the proposed algorithm.
Keywords
Semantic image classifier, Hierarchical fuzzy classification, Fuzzy Association
Rule, fuzzy expert systems.
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Download image database:
Layer 1 |
Layer 2 |
Layer 3 |
Layer 4 |
Concept ID |
Artificial |
Indoor |
Kitchen |
1 |
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Plate |
2 |
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3 |
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Cabinet |
4 |
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Fork |
5 |
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Spoon |
6 |
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Glass |
7 |
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Computer |
8 |
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9 |
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10 |
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Toy |
Car |
11 |
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House |
12 |
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Dolly |
13 |
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Seat |
Sofa |
14 |
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Chair |
15 |
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Out door |
House |
16 |
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17 |
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Jackal |
18 |
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Vehicle |
19 |
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20 |
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21 |
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Train |
22 |
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Nature |
Animal |
Bird |
23 |
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24 |
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25 |
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26 |
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Non-bird |
27 |
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28 |
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Fish |
29 |
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30 |
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31 |
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Cat |
32 |
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Cow |
33 |
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34 |
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35 |
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36 |
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Plant |
Fruit |
Date |
37 |
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Apple |
38 |
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39 |
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Pear |
40 |
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Flower |
41 |
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42 |
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43 |
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Landscape |
Waterscape |
44 |
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45 |
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Mainland |
46 |
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47 |
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48 |