Name
Abstract | ||
|---|---|---|
This paper presents a syntactical approach to the content-based indexing and retrieval of images. Studies on the content-based indexing/retrieval of images were motivated to derive from the visual features inside images a set of objective criteria for the indexing/retrieval of the images. The existing content-based image indexing and retrieval methods, however, use in an unstructured manner the visual features such as edge elements, color histogram, texture distribution, and so on. As a result, both indexing and retrieval are not efficient and effective, compared with the text-based methods. A new hierarchical structure representation is presented in this paper. Since the hierarchical structure is generated with a data-driven approach, an objective description on an image can be obtained. The potential application of the hierarchical structure to the content-based image indexing and retrieval is discussed. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BFb0033266 | SSPR/SPR |
Keywords | Field | DocType |
content-based image indexing,syntactical approach,indexation,color histogram | Color histogram,Pattern recognition,Information retrieval,Computer science,Image processing,Search engine indexing,Image retrieval,Image segmentation,Artificial intelligence,Vector space model,Pattern matching,Visual Word | Conference |
ISBN | Citations | PageRank |
3-540-64858-5 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shoujie He | 1 | 29 | 9.59 |
| Norihiro Abe | 2 | 89 | 35.38 |