SEMANTIC IMAGE DESCRIPTION AND CLASSIFICATION BASED ON GENERALIZED SET

Abstract
A semantic image description model based on generalized set is proposed, and the semantic similarity (distance) measure between images is presented. Semantic image information can be completely represented in this model as compared with previous researches based on vector space. The semantic image description model based on generalized set is similar to human understanding of image knowledge. For the purpose of the semantic image classification, semantic distance based on support vector machine classifier is employed. Experimental results show the validity of new method, and that the image classification accuracy is improved.

Authors
Ri ChangYong, Pak DuHo, Rim KyongChol, Ju JinHok
Kim Il Sung University, D.P.R. of Korea

Keywords
Semantic Image Description, Image Classification, Generalized Set
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 8 , Issue: 4 )
Date of Publication :
May 2018
DOI :

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.