Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2600
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Surongen
dc.date.accessioned2008-09-17T09:06:02Zen
dc.date.available2008-09-17T09:06:02Zen
dc.date.copyright2008en
dc.date.issued2008en
dc.identifier.citationWang, S. R. (2008). Image retrieval and classification based on MPEG-7 descriptors. Doctoral thesis, Nanyang Technological University, Singapore.en
dc.identifier.urihttps://hdl.handle.net/10356/2600en
dc.description.abstractIn order to make use of the vast amount of multimedia data, e?cient and e?ective techniques to analyze and retrieve multimedia information based on its content need to be developed. In this thesis, we investigate three issues related to image retrieval and classi?cation based on MPEG-7 descriptors. Firstly, we propose a new similarity measure for one MPEG-7 color descriptor based on Earth Mover’s Distance (EMD). To reduce the computation time, M-tree index and lower bound of EMD are discussed, which can prune the images far from the query image. To combine two or more di?erent MPEG-7 descriptors to improve the retrieval performance, adescriptor-weighting scheme for combining multiple MPEG-7 visual descriptors is discussed. An optimization model is built to ?nd a set of optimal weights for a set of corresponding descriptors. Explicit solutions can be derived by Lag range multipliers, which are optimal and easy to calculate.en
dc.rightsNanyang Technological Universityen
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen
dc.titleImage retrieval and classification based on MPEG-7 descriptorsen
dc.typeThesisen
dc.contributor.supervisorDeepu Rajanen
dc.contributor.supervisorManoranjan Dashen
dc.contributor.supervisorChia Liang Tien Clementen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en
dc.identifier.doi10.32657/10356/2600en
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:SCSE Theses
Files in This Item:
File Description SizeFormat 
SCE-THESES_339.pdf2.8 MBAdobe PDFThumbnail
View/Open

Page view(s) 50

327
checked on Sep 30, 2020

Download(s) 50

159
checked on Sep 30, 2020

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.