Please use this identifier to cite or link to this item:
|Title:||Fuzzy semantic labeling for image retrieval||Authors:||Paterno, M.C.S.
|Issue Date:||2004||Citation:||Paterno, M.C.S.,Lim, F.S.,Leow, W.K. (2004). Fuzzy semantic labeling for image retrieval. 2004 IEEE International Conference on Multimedia and Expo (ICME) 2 : 767-770. ScholarBank@NUS Repository.||Abstract:||This paper proposes a fuzzy image labeling method that assigns multiple semantic labels together with confidence measures to each region in an image. The confidence measures are derived from the distance of the region to hyperplanes constructed by support vector machines. Test results show that this method yields higher classification accuracy and retrieval precision than crisp labeling methods that are based on crisp classification.||Source Title:||2004 IEEE International Conference on Multimedia and Expo (ICME)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40838||ISBN:||0780386035|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 2, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.