dc.contributor.author |
PIAMSA-NGA, P |
en |
dc.contributor.author |
ALEXANDRIDIS, N |
en |
dc.contributor.author |
SRAKAEW, S |
en |
dc.contributor.author |
TSANAKAS, P |
en |
dc.contributor.author |
TZAFESTAS, S |
en |
dc.date.accessioned |
2014-03-01T02:48:38Z |
|
dc.date.available |
2014-03-01T02:48:38Z |
|
dc.date.issued |
1998 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33969 |
|
dc.subject |
Content Based Image Retrieval |
en |
dc.subject |
Image Database |
en |
dc.subject |
Indexation |
en |
dc.subject |
Tree Structure |
en |
dc.subject |
Wavelet Transform |
en |
dc.title |
MULTI-FEATURE CONTENT-BASED IMAGE RETRIEVAL |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
1998 |
en |
heal.abstract |
In this paper, we propose a model for the fast retrieval image data using multiple features based on multiresolution processing. We demonstrate our performance results by searching an image database of approximately 30,000 24-bit color photographic images. We use identical structures to build the index keys from the two features using histogram generation and wavelet transform. The experiments show that |
en |
heal.journalName |
Conference on Computer Graphics and Imaging |
en |