International Journal of Networked and Distributed Computing

Volume 3, Issue 4, November 2015, Pages 234 - 242

Hybrid Approach of Ontology and Image Clustering for Automatic Generation of Hierarchic Image Database

Authors
Ryosuke Yamanishi, Ryoya Fujimoto, Yuji Iwahori, Robert J. Woodham
Corresponding Author
Ryosuke Yamanishi
Available Online 1 November 2015.
DOI
10.2991/ijndc.2015.3.4.4How to use a DOI?
Keywords
Image database, Web intelligence, Image clustering, Cross media hybrid approach
Abstract

This paper proposes a hybrid approach of ontology and image clustering to automatically generate hierarchic image database. In the field of computer vision, ”generic object recognition” is one of the most important topics. Generic object recognition needs three types of research: feature extraction, pattern recognition, and database preparation; this paper targets at database preparation. The proposed approach considers both object semantic and visual features in images. In the proposed approach, the semantic is covered by ontology framework, and the visual similarity is covered by image clustering based on Gaussian Mixture Model. The image database generated by the proposed approach covered over 4,800 concepts (where 152 concepts have more than 100 images) and its structure was hierarchic. Through the subjective evaluation experiment, whether images in the database were correctly mapped or not was examined. The results of the experiment showed over 84% precision in average. It was suggested that the generated image database was sufficiently practicable as learning database for generic object recognition.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
3 - 4
Pages
234 - 242
Publication Date
2015/11/01
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2015.3.4.4How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ryosuke Yamanishi
AU  - Ryoya Fujimoto
AU  - Yuji Iwahori
AU  - Robert J. Woodham
PY  - 2015
DA  - 2015/11/01
TI  - Hybrid Approach of Ontology and Image Clustering for Automatic Generation of Hierarchic Image Database
JO  - International Journal of Networked and Distributed Computing
SP  - 234
EP  - 242
VL  - 3
IS  - 4
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2015.3.4.4
DO  - 10.2991/ijndc.2015.3.4.4
ID  - Yamanishi2015
ER  -