Authors:
Savvas A. Chatzichristofis
1
;
Yiannis S. Boutalis
2
and
Mathias Lux
3
Affiliations:
1
Democritus University of Thrace, Greece
;
2
Democritus University of Thrace; Friedrich-Alexander University of Erlangen-Nuremberg, Germany
;
3
Institute of Information Technology, Klagenfurt University, Austria
Keyword(s):
Image retrieval, Compact composite descriptors, Spatial distribution, Hand-drawn sketches.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Vision and Perception
Abstract:
In this paper, a new low level feature suitable for Hand Drawn Color Sketches retrieval is presented. The proposed feature structure combines color and spatial color distribution information. The combination of these two features in one vector classifies the proposed descriptor to the family of Composite Descriptors. In order to extract the color information, a fuzzy system is being used, which is mapping the number of colors that are included in the image into a custom palette of 8 colors. The way by which the vector of the proposed descriptor is being formed, describes the color spatial information contained in images. To be applicable in the design of large image databases, the proposed descriptor is compact, requiring only 48 bytes per image. Experiments demonstrate the effectiveness of the proposed technique.