A fuzzy mapping from image texture to affective thesaurus

Authors:
Haifang Li;Jin Li;Jiancheng Song;Junjie Chen
Affiliations:
College of Computer and Software, Taiyuan University of Technology, Taiyuan, Shanxi, China;College of Computer and Software, Taiyuan University of Technology, Taiyuan, Shanxi, China;College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China;College of Computer and Software, Taiyuan University of Technology, Taiyuan, Shanxi, China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

Citing 3
Cited 0

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptive Visual Texture Classification and Retrieval

ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
A survey of content-based image retrieval with high-level semantics

Pattern Recognition

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Abstract

Most of the image analysis methods focus on affective information by using color. In this paper a new indexing scheme, called FRD (Fuzzy Recognize Degree)-Clustering is proposed for affection-assisted semantic image analysis on the basis of the texture feature. A set of perceptual relevant features, used for indexing is hence introduced: directionality, contrast and coarseness. This FRD scheme allows us to retrieve images based on high-level affective concepts. Experiments with images of the nature and landscape domain demonstrate the performance of the proposed approach.