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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| Format: | Thesis |
| Language: | en en |
| Published: |
2010
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| 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 https://etd.uum.edu.my/2190/ http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757663 |
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| Summary: | 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. |
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