dc.contributor.authorWang, Surongen_US
dc.date.accessioned2008-09-17T09:06:02Z
dc.date.accessioned2017-07-23T08:28:32Z
dc.date.available2008-09-17T09:06:02Z
dc.date.available2017-07-23T08:28:32Z
dc.date.copyright2008en_US
dc.date.issued2008
dc.identifier.citationWang, S. R. (2008). Image retrieval and classification based on MPEG-7 descriptors. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/2600
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_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
dc.titleImage retrieval and classification based on MPEG-7 descriptorsen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorDeepu Rajan
dc.contributor.supervisorManoranjan Dash
dc.contributor.supervisorChia Liang Tien Clementen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US
dc.identifier.doihttps://doi.org/10.32657/10356/2600


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