Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/DB29B36F-71EB-4B4E-8642-46E764F4AD62 | - |
| Identifier | https://doi.org/10.1109/TKDE.2002.1033768 | - |
| Language | en | - |
| Title | ImageMap: an image indexing method based on spatial similarity | en |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Creator | Lin, K.-I. | en |
| Creator | Faloutsos, C | en |
| Publisher | IEEE | en |
| Content Summary | We introduce ImageMap, as a method for indexing and similarity searching in image databases (IDBs). ImageMap answers "queries by example" involving any number of objects or regions and taking into account their interrelationships. We adopt the most general image content representation, that is, Attributed Relational Graphs (ARGs), in conjunction with the well-accepted ARG editing distance on ARGs. We tested ImageMap on real and realistic medical images. Our method not only provides for visualization of the data set, clustering and data mining, but it also achieves up to 1,000-fold speed-up in search over sequential scanning, with zero or very few false dismissals. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-24 | - |
| Date of Publication | 2015 | - |
| Bibliographic Citation | Euripides G.M. Petrakis, Christos Faloutsos and King-Ip Lin: "ImageMap: An Image Indexing Method Based on Spatial Similarity", IEEE Transactions on Knowledge and Data Engineering, Vol. 14, no. 5, pp. 979-987, Sept./Oct 2002. DOI: 10.1109/TKDE.2002.1033768 | en |
Copyright © DIAS 2013
