|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM19139629X |
| 003 |
DE-627 |
| 005 |
20231223191139.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2010 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2009.2032313
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0638.xml
|
| 035 |
|
|
|a (DE-627)NLM19139629X
|
| 035 |
|
|
|a (NLM)19758865
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Kwitt, Roland
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Lightweight probabilistic texture retrieval
|
| 264 |
|
1 |
|c 2010
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 18.02.2010
|
| 500 |
|
|
|a Date Revised 16.12.2009
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a This paper contemplates the framework of probabilistic image retrieval in the wavelet domain from a computational point of view. We not only focus on achieving high retrieval rates, but also discuss possible performance bottlenecks which might prevent practical application. We propose a novel retrieval approach which is motivated by previous research work on modeling the marginal distributions of wavelet transform coefficients. The building blocks of our work are the dual-tree complex wavelet transform and a number of statistical models for the coefficient magnitudes. Image similarity measurement is accomplished by using closed-form solutions for the Kullback-Leibler divergences between the statistical models. We provide an in-depth computational analysis regarding the number of arithmetic operations required for similarity measurement and model parameter estimation. The experimental retrieval results on a widely used texture image database show that we achieve competitive retrieval results at low computational cost
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 700 |
1 |
|
|a Uhl, Andreas
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 19(2010), 1 vom: 01. Jan., Seite 241-53
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:19
|g year:2010
|g number:1
|g day:01
|g month:01
|g pages:241-53
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2009.2032313
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 19
|j 2010
|e 1
|b 01
|c 01
|h 241-53
|