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General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2014 Vol.3(2): 124-128 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.282

Semantically Effective Visual Concept Illustration for Images

K. K. Thyagharajan and G. Nagarajan
Abstract—The field of analyzing and understanding high-dimension real world data in a knowledgeable form is known as computer vision. Image is such a high dimension real world data which is enormously available in meaningless way. Using Ontologies in this computer vision field will enable a high end Ontology knowledge based image analysis and understanding. The main objective of this paper is to develop a frame work that creates a Bag of Visual Words for sports events using low level features of images and to develop ontology to provide semantic meaning to the images. Such semantically available images can be easily retrieved using a semantic image retrieval system. We used the concepts of enhanced Scale Invariant Feature Transform (SIFT) for feature extraction and Support Vector Machine based classification model to provide semantic to the images for action classification of images

Index Terms—Computer vision, ontology, bag of visual words, SIFT, SVM and knowledge-based component.

K. K. Thyagharajan is with RMD Engineering College, Kavaraipettai, India (e-mail: kkthyagharajan@yahoo.com).
G. Nagarajan is with Research Scholar of Sathyabama University, Chennai, India (e-mail: nagarajanme@yahoo.co.in).


Cite:K. K. Thyagharajan and G. Nagarajan, "Semantically Effective Visual Concept Illustration for Images," International Journal of Future Computer and Communication vol. 3, no. 2, pp. 124-128, 2014.

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