Name
Abstract | ||
|---|---|---|
To effectively utilize information stored in a digital image library, effective image indexing and retrieval techniques are essential. This paper proposes an image indexing and retrieval technique based on the compressed image data using vector quantization (VQ). By harnessing the characteristics of VQ, the proposed technique is able to capture the spatial relationships of pixels when indexing the image. Experimental results illustrate the robustness of the proposed technique and also show that its retrieval performance is higher compared with existing color-based techniques. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.patcog.2007.01.029 | Pattern Recognition |
Keywords | Field | DocType |
effective image indexing,image data,vector quantization,retrieval performance,proposed technique,spatial relationship,retrieval technique,digital image library,color-based technique,image indexing,image compression,digital image,spatial relationships,image retrieval,indexation | Computer vision,Automatic image annotation,Pattern recognition,Computer science,Image texture,Image processing,Image retrieval,Digital image,Vector quantization,Artificial intelligence,Vector space model,Visual Word | Journal |
Volume | Issue | ISSN |
40 | 11 | Pattern Recognition |
Citations | PageRank | References |
13 | 0.70 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shyh Wei Teng | 1 | 151 | 21.02 |
| Guojun Lu | 2 | 1965 | 82.04 |