Name
Title | ||
|---|---|---|
Sensibility-aware image retrieval using computationally learned bases: RIM, JPG, J2K, and their mixtures |
Abstract | ||
|---|---|---|
Sensibility-aware image retrieval methods are presented and their performances are compared. Three systems are discussed in this paper: PCA/ICA-based method called RIM (Retrieval-aware IMage format), JPEG, and JPEG2000. In each case, a query is an image per se. Similar images are retrieved to this query. The RIM method is judged to be the best settlement in view of the retrieval performance and the response speed according a carefully designed set of opinion tests. An integrated retrieval system for image collections from the network and databases which contain RIM, JPEG and JPEG2000 is realized and evaluated lastly. Source codes of the RIM method is opened. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-642-02490-0_76 | ICONIP (1) |
Keywords | Field | DocType |
best settlement,similar image,ica-based method,retrieval-aware image format,retrieval performance,rim method,sensibility-aware image retrieval method,opinion test,integrated retrieval system,image collection,source code,image retrieval,image formation | Computer vision,Automatic image annotation,Pattern recognition,Computer science,Image texture,Image retrieval,Image file formats,JPEG,Artificial intelligence,Independent component analysis,JPEG 2000,Visual Word | Conference |
Volume | ISSN | ISBN |
5506 | 0302-9743 | 3-642-02489-0 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takatoshi Kato | 1 | 4 | 1.57 |
| Shun'ichi Honma | 2 | 3 | 0.77 |
| Yasuo Matsuyama | 3 | 60 | 16.41 |
| Tetsuma Yoshino | 4 | 1 | 0.36 |
| Yuuki Hoshino | 5 | 1 | 0.36 |