Please use this identifier to cite or link to this item:
Title: Image retrieval and classification based on MPEG-7 descriptors
Authors: Wang, Surong
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2008
Source: Wang, S. R. (2008). Image retrieval and classification based on MPEG-7 descriptors. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: In 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.
DOI: 10.32657/10356/2600
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
SCE-THESES_339.pdf2.8 MBAdobe PDFThumbnail

Page view(s) 50

Updated on May 12, 2021

Download(s) 20

Updated on May 12, 2021

Google ScholarTM




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