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Guest editorial: mobile visual tagging with mobile context
2017
Multimedia Systems
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In fact, mobile devices bring a large amount of contextual information, which can be useful clues to facilitate image annotation and tagging. ...
This special issue aims to seek innovative papers that exploit novel technologies and solutions from both industry and academia on how to recognize and tag images/videos with mobile contextual information ...
. * The paper "Automatic image annotation using fuzzy association rules and decision tree" by Zhixin Li et al. proposes an approach for automatic image annotation by integrating fuzzy association rules ...
doi:10.1007/s00530-017-0569-2
fatcat:4j54u35wc5e6nlsuht7uxte634
Fuzzy Neighbor Voting for Automatic Image Annotation
2016
Journal of electrical and computer engineering innovations
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In this paper, we propose a novel image annotation algorithm based on neighbor voting which uses fuzzy system. ...
The performance of the model depends on selecting the right neighbors and a fuzzy system with the right combination of features it offers.Experimental results on Corel5k and IAPR TC12 benchmark annotated ...
The authors of [37] proposed an automatic image annotation model fuzzy and decision tree based. ...
doi:10.22061/jecei.2016.526
doaj:d488444192164cec968742a8d2483849
fatcat:rwstxczbcnhnvmc4c72uykbzbi
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
[chapter]
2009
Lecture Notes in Computer Science
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Decision Trees (FFDTs). ...
First, in the Visual Concept Detection Task (VCDT), we look at the mutual exclusion and implication relations between VCDT concepts in order to improve the automatic image annotation by Forest of Fuzzy ...
Conclusion In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. ...
doi:10.1007/978-3-642-04447-2_71
fatcat:5x6h62a42bac5flz3c3jpeqbfm
Generalizations of Rough Sets: From Crisp to Fuzzy Cases
[chapter]
2004
Lecture Notes in Computer Science
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Image and Signal Recognition
Domain Knowledge Approximation in Handwritten Digit Recognition
p. 643
An Automatic Analysis System for Firearm Identification Based on Ballistics
Projectile
p. 653 ...
Mining Generalized Association Rules
p. 610
Pattern Mining for Time Series Based on Cloud Theory Pan-concept-tree
p. 618
Using Rough Set Theory for Detecting the Interaction Terms in a Generalized ...
doi:10.1007/978-3-540-25929-9_3
fatcat:saiacsrpovgphlh5zzhoq4tcrq
A knowledge-based multi-layered image annotation system
2015
Expert systems with applications
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Thus, in this paper we propose a fuzzy-knowledge based intelligent system for image annotation, which is able to deal with uncertain and ambiguous knowledge and can annotate images with concepts on different ...
The main contributions are associated with an original approach of using a fuzzy knowledge-representation scheme based on the Fuzzy Petri Net (KRFPN) formalism. ...
The rules in the knowledge-base of MIAS can be visualized using Fuzzy Petri Nets and conclusions can be directly understood using the inference trees. ...
doi:10.1016/j.eswa.2015.07.068
fatcat:2ot4wtuq2ndvnp54yizykvc3ze
Automatic Image Annotation using Possibilistic Clustering Algorithm
2019
International Journal of Fuzzy Logic and Intelligent Systems
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In this paper, the proposed PCMRM (possibilistic based cross-media relevance model) annotates images based on their visual contents. ...
The reported performance measures proved that the proposed automatic image annotation approach outperforms similar state of the art solutions. ...
Acknowledgements The authors are grateful for the support by the Research Center of the College of Computer and Information Sciences, King Saud University. ...
doi:10.5391/ijfis.2019.19.4.250
fatcat:nli6zyseyjb6ro53pppq4ryynu
UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT)
2008
Conference and Labs of the Evaluation Forum
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Decision Trees (FFDTs). ...
First, in the Visual Concept Detection Task (VCDT), we look at the mutual exclusion and implication relations between VCDT concepts in order to improve the automatic image annotation by Forest of Fuzzy ...
The introduction of fuzzy set theory, leading to the fuzzy decision tree approach (FDT), enables us to smooth out these negative effects. ...
dblp:conf/clef/TollariDFAG08
fatcat:5akarbzndbhmld64ft2rmlpkem
Fuzzy logic based detection of neuron bifurcations in microscopy images
2014
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)
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The proposed method models the essential characteristics of bifurcations and employs fuzzy rule based reasoning to decide whether the extracted image features indicate the presence of a bifurcation. ...
Quantitative analysis of neuronal cell morphology from microscopic image data requires accurate reconstruction of the axonal and dendritic trees. ...
In addition, a fuzzy rule-based decision scheme is used to assign a fuzzy bifurcationess score to each location. ...
doi:10.1109/isbi.2014.6868117
dblp:conf/isbi/RadojevieSNM14
fatcat:jx34f6n535bafpmnrwnhrdy25a
SIA: Semantic Image Annotation Using Ontologies and Image Content Analysis
[chapter]
2010
Lecture Notes in Computer Science
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We introduce SIA, a framework for annotating images automatically using ontologies. ...
Average Retrieval Rank (AVR) is applied to compute the likelihood of the input image to belong to each one of the ontology classes. ...
Chatzichristofis of the Dept. of Electrical and Computer Engineering at the Democritus University of Thrace, Greece, for valuable contributions into this work. ...
doi:10.1007/978-3-642-13772-3_38
fatcat:f73f4r7qvrgttpr4apfogjmdgu
University of Paris 6 at TRECVID 2005: High-Level Feature Extraction
2005
TREC Video Retrieval Evaluation
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Our approach is founded on Fuzzy Decision Trees through the Salammbô software. ...
The approach focuses on the use of Fuzzy Decision Trees (FDT) and is based on a rather simple image description. ...
Introduction The method we have used in the NIST TRECVID'2005 evaluation task is based on the use of Fuzzy Decision Trees (FDT). ...
dblp:conf/trecvid/MarsalaD05
fatcat:3hzz4rwb6zcvtpyadvygfdcdxy
Fuzzy data mining and management of interpretable and subjective information
2015
Fuzzy sets and systems (Print)
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In this paper, we discuss the notion of interpretability in fuzzy data mining and we present some references on the management of emotions as a particular kind of subjective information. ...
Fuzzy set theory offers an important contribution to data mining leading to fuzzy data mining. ...
Acknowledgements The authors are grateful to Marie-Jeanne Lesot for helpful comments and useful suggestions. They also thank the anonymous reviewers for their constructive comments and suggestions. ...
doi:10.1016/j.fss.2015.08.021
fatcat:mlbdlckjbfeurhebf7ni7lqpkq
UPMC-LIP6 at TrecVid'08: Balanced and Unbalanced Forests of Fuzzy Decision Trees for High-Level Feature Detection
2008
TREC Video Retrieval Evaluation
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Our approach is based on the use of a Forest of Fuzzy Decision Trees constructed by means of either a balanced sampling of the development data, or an unbalanced sampling of the development data. ...
that, by doing this, each fuzzy decision tree of the forest becomes more specialist in the recognition of the feature. ...
Then, with this FDT, the prediction of the feature class tends to be less probable and tends to appear only when there are strong evidence that the shot contains the feature. ...
dblp:conf/trecvid/MarsalaD08
fatcat:cadf6iqh4fbxfb2pd5gm6u5ewa
Data Mining Techniques for Identification and Classification of Various Diseases in Plants
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Since various plants has different diseases based on that each of them has different data sets and different objectives for knowledge discovery. ...
Data Mining Techniques applied on plants that it helps in segmentation and classification of diseased plants, it avoids Oral Inspection and helps to increase in crop productivity. ...
Association Rules: The interesting relation between variables in large database are discovered and the Association rule mining is also known as rule based learning .The association rule applied on various ...
doi:10.35940/ijitee.b1110.1292s19
fatcat:lqtfwjlw5besjadoozrzio3yh4
Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey
2016
Indian Journal of Science and Technology
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Method: Resource Description Framework and Ontology Web Language are standard formats for sharing and integrating knowledge. ...
This paper includes the recent trends in accessing the information in semantic web and reducing semantic gap. ...
Decision tree algorithm is used as a classifier and represented in web ontology language. Semantic web rule language is a rule based classifier. ...
doi:10.17485/ijst/2016/v9i30/99072
fatcat:asnamx3urveabjyritsri3guuy
Data Driven Generation of Fuzzy Systems: An Application to Breast Cancer Detection
[chapter]
2011
Lecture Notes in Computer Science
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Fuzzy logic is a well known successful attempt to automatize the human capability to reason with imperfect information; fuzzy systems are rule-based so that they can easily provide motivations for their ...
Then, we test our systems on a well known and widely used data set of features of images of breast masses and, having the number of rules varying, we show results both in terms of correct classification ...
In [13] it is presented a fuzzy rule based decision support systems for the diagnosis of coronary artery disease (CAD) automatically generated from an initial annotated dataset, by means of a four stage ...
doi:10.1007/978-3-642-21946-7_16
fatcat:qfpeci6shbdbdnloatpecmwv7a
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