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ImageMap: an image indexing method based on spatial similarity

Petrakis Evripidis, Lin, K.-I., Faloutsos, C

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/DB29B36F-71EB-4B4E-8642-46E764F4AD62-
Αναγνωριστικόhttps://doi.org/10.1109/TKDE.2002.1033768-
Γλώσσαen-
ΤίτλοςImageMap: an image indexing method based on spatial similarityen
ΔημιουργόςPetrakis Evripidisen
ΔημιουργόςΠετρακης Ευριπιδηςel
ΔημιουργόςLin, K.-I.en
ΔημιουργόςFaloutsos, Cen
ΕκδότηςIEEEen
ΠερίληψηWe 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-24-
Ημερομηνία Δημοσίευσης2015-
Βιβλιογραφική ΑναφοράEuripides 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.2002.1033768en

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