Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification

Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification

Among the most popular in the World Wide Web are the sites that offer text-based search engines. Compared to text-based search engine, there are not many search engines that do image searching, face detection or image index searching. In this study, mobile-based search engine application by image ma...

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Main Author: Alkhatib, Deaa Eddin A.
Format: Thesis
Language:eng
eng
Published: 2010
Subjects:
TK6570 Mobile Communication System.
Online Access:https://etd.uum.edu.my/2190/1/Deaa_Eddin_A._Alkhatib.pdf
https://etd.uum.edu.my/2190/2/1.Deaa_Eddin_A._Alkhatib.pdf
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spelling my-uum-etd.21902013-07-24T12:14:49Z Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification 2010 Alkhatib, Deaa Eddin A. Mohd Yusof, Shahrul Azmi College of Arts and Sciences (CAS) College of Arts and Sciences TK6570 Mobile Communication System. Among the most popular in the World Wide Web are the sites that offer text-based search engines. Compared to text-based search engine, there are not many search engines that do image searching, face detection or image index searching. In this study, mobile-based search engine application by image mapping using binary histogram classification is proposed. This study will begin with the introduction section which will include a detailed explanation, definition on the history of text-based search engines. Next, the literature review and the methodology will be done. The final output of this project is a mobile-based image search engine prototype. 2010 Thesis https://etd.uum.edu.my/2190/ https://etd.uum.edu.my/2190/1/Deaa_Eddin_A._Alkhatib.pdf application/pdf eng validuser https://etd.uum.edu.my/2190/2/1.Deaa_Eddin_A._Alkhatib.pdf application/pdf eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757663 masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Mohd Yusof, Shahrul Azmi
topic TK6570 Mobile Communication System.
spellingShingle TK6570 Mobile Communication System.
Alkhatib, Deaa Eddin A.
Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
description Among the most popular in the World Wide Web are the sites that offer text-based search engines. Compared to text-based search engine, there are not many search engines that do image searching, face detection or image index searching. In this study, mobile-based search engine application by image mapping using binary histogram classification is proposed. This study will begin with the introduction section which will include a detailed explanation, definition on the history of text-based search engines. Next, the literature review and the methodology will be done. The final output of this project is a mobile-based image search engine prototype.
format Thesis
qualification_name masters
qualification_level Master's degree
author Alkhatib, Deaa Eddin A.
author_facet Alkhatib, Deaa Eddin A.
author_sort Alkhatib, Deaa Eddin A.
title Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
title_short Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
title_full Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
title_fullStr Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
title_full_unstemmed Mobile E-Based Search Engine by Image Mapping Using Binary Histogram Classification
title_sort mobile e-based search engine by image mapping using binary histogram classification
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2010
url https://etd.uum.edu.my/2190/1/Deaa_Eddin_A._Alkhatib.pdf
https://etd.uum.edu.my/2190/2/1.Deaa_Eddin_A._Alkhatib.pdf
_version_ 1747827286237773824

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