Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.knosys.2006.05.013
Title: Iconic pictorial retrieval using multiple attributes and spatial relationships
Authors: Sung, S.Y. 
Hu, T.
Keywords: Content-based indexing
Image database
Information retrieval
Knowledge base system
Pattern recognition
Issue Date: 2006
Source: Sung, S.Y., Hu, T. (2006). Iconic pictorial retrieval using multiple attributes and spatial relationships. Knowledge-Based Systems 19 (8) : 687-695. ScholarBank@NUS Repository. https://doi.org/10.1016/j.knosys.2006.05.013
Abstract: This work is on the use of multiple attributes or features and spatial relationships, with the help of a user interface based on an iconic paradigm, to retrieve images represented by iconic pictures. An icon has texture, color, and text attributes. Texture is represented by three statistical textural properties, namely, coarseness, contrast, and directionality. For text, the vector space model is used. For color, a representation based on a modified color histogram method which is less storage-intensive is proposed. The final icon similarity is the combination of the attribute similarity values using a proven adaptive algorithm. 2-D strings and its variants are commonly used to represent spatial relationships and perform spatial reasoning. We extended the method to include similarity ranking by using different similarity functions for different spatial relationships and an efficient embedding algorithm. Furthermore, our method solves the problem of query expressiveness which all methods based on 2-D string representations suffer from. © 2006 Elsevier B.V. All rights reserved.
Source Title: Knowledge-Based Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/39785
ISSN: 09507051
DOI: 10.1016/j.knosys.2006.05.013
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