Paper Info
Title
Spcd - Spatial Color Distribution Descriptor A Fuzzy Rule Based Compact Composite Descriptor Appropriate For Hand Drawn Color Sketches Retrieval
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.
Year
Venue
Keywords
2010
ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE
Image retrieval, Compact composite descriptors, Spatial distribution, Hand-drawn sketches
Field
DocType
Citations 
Computer vision,Pattern recognition,Computer science,Artificial intelligence,Machine learning,Fuzzy rule
Conference
14
PageRank 
References 
Authors
0.84
1
3
Name
Order
Citations
PageRank
Savvas A. Chatzichristofis181044.88
Yiannis S. Boutalis238926.96
Mathias Lux366570.36