Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74769-7_39 | LSMS (1) |
Keywords | Field | DocType |
landscape domain,fuzzy recognize degree,high-level affective concept,image texture,perceptual relevant feature,affection-assisted semantic image analysis,fuzzy mapping,image analysis method,affective information,new indexing scheme,frd scheme,image analysis,indexation | Computer vision,Pattern recognition,Image texture,Fuzzy logic,Search engine indexing,Artificial intelligence,Perception,Mathematics,Fuzzy mapping | Conference |
Volume | ISSN | ISBN |
4688 | 0302-9743 | 3-540-74768-0 |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifang Li | 1 | 12 | 4.86 |
| Jin Li | 2 | 1 | 0.35 |
| Jiancheng Song | 3 | 4 | 1.77 |
| Junjie Chen | 4 | 68 | 17.18 |