Meiho University Institutional Repository:Item 987654321/1039
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    Please use this identifier to cite or link to this item: http://ir.meiho.edu.tw/ir/handle/987654321/1039


    Title: Automatic Classification of Digital Archives- A Food and Beverage Restaurant for Example
    Authors: Zih-Ping Ho;Huei-Ju Lee
    Contributors: Dept. of Food and Beverage Management, Taiwan Hospitality & Tourism College, Taiwan;Dept. of Sales, Dong-Sheng Food Transportation, Taiwan
    Email of Contact Author: [email protected]
    Keywords: Image Recognition;Employee Education;E-Enterprise;E-Restaurant;Cuisine Photo Algo rithm
    Date: 2011-04
    Issue Date: 2011-07-06T03:08:38Z (UTC)
    Abstract: A digital archive is a digital database, which is built by the internet, websites’ culture and information techniques. Modern Restaurant Manager faces numerous digital photos and videos, which are high correlation to cuisine and organizational knowledge improvement. Numerous institutions archives are going digitalized.
    Except website marketing for a restaurant, education of employee is also a new trend for e-enterprise in a restaurant. This study tried automatic classification of cuisine photos into restaurant’s digital database; it would reduce manager working time for selection of cuisine photos, which were applied to employee education. Maybe we can easily classify few archives into database; however, thousand of photos are not economic for human manual classification. This research developed a new algorithm for visual reorganization for cuisine photos, and coded as a software for real world practical application. The experimental results showed that the proposed approach could contribute to e-enterprise knowledge management. It would be easily transferred into others industries.
    Appears in Collections:[Seminar] 2011 International Conference on Management Learning and Business Technology Education

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