Authors:
Young-Chang Lee
1
and
Kyoung-Mi Lee
2
Affiliations:
1
Yeungnam University, Korea, Republic of
;
2
Duksung Women's University, Korea, Republic of
Keyword(s):
Image retrieval, Emotion, Color sketch, Content-based retrieval, Semantic-based retrieval.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Vision and Perception
Abstract:
This paper has proposed an image retrieval system by using an emotion sketch in order to retrieve images that locally hold different emotions. The proposed image retrieval system divides an image into the 17×17 non-overlapping sub-areas. In order to extract the emotion features in sub-areas, the proposed system has used the emotion colors that correspond to the 160 emotion words that suggested by the color imaging chart of H. Nagumo. By calculating the distribution of emotion colors corresponding to the emotion words from the sub-areas, the system takes the emotion word that holds the largest value among the histogram values of the emotion words of each sub-area. The image retrieval system with using the proposed emotion sketch query has demonstrated excellent retrieval precision and recall functions that are better than the global approach by evaluating the validity of the Corel database.