Name
Abstract | ||
|---|---|---|
In this paper, we design a content-based image retrieval system where multiple query examples can be used to indicate the need to retrieve not only images similar to the individual examples, but also those images which actually represent a combination of the content of query images. We propose a scheme for representing content of an image as a combination of features from multiple examples. This scheme is exploited for developing a multiple example-based retrieval engine. We have explored the use of machine learning techniques for generating the most appropriate feature combination scheme for a given class of images. The combination scheme can be used for developing purposive query engines for specialized image databases. Here, we have considered facial image databases. The effectiveness of the image retrieval system is experimentally demonstrated on different databases. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TIP.2006.881946 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
content-based retrieval,image representation,image retrieval,independent component analysis,learning (artificial intelligence),visual databases,CBIR,content-based image retrieval system,image databases,image representation,independent component analysis,machine learning techniques,multiple exemplar,query engines,Content-based image retrieval (CBIR),independent component analysis,multiple exemplars | Computer vision,Automatic image annotation,Query expansion,Pattern recognition,Computer science,Image representation,Image retrieval,Feature combination,Artificial intelligence,Independent component analysis,Principal component analysis,Visual Word | Journal |
Volume | Issue | ISSN |
15 | 12 | 1057-7149 |
Citations | PageRank | References |
6 | 0.46 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayanta Basak | 1 | 372 | 32.68 |
| Koustav Bhattacharya | 2 | 77 | 7.04 |
| Santanu Chaudhury | 3 | 897 | 127.92 |