Multilingual Personal Dietary Photograph Annotation System with The Assistance of Crowdsourcing

碩士 === 國立政治大學 === 資訊科學學系 === 102 === In this study, we created the function of image tags annotating in the application, iPARIS-Plus. It provided a new method of annotation which is different from the text annotations, therefore, users could have another choice. This function could solve the prob...

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Bibliographic Details
Main Authors: Lin, Mu Rui, 林睦叡
Other Authors: Kuo, Pei Jeng
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/45455991714686289630
Description
Summary:碩士 === 國立政治大學 === 資訊科學學系 === 102 === In this study, we created the function of image tags annotating in the application, iPARIS-Plus. It provided a new method of annotation which is different from the text annotations, therefore, users could have another choice. This function could solve the problem of multilingual annotation and reduce the time effectively when users take for the record. iPARIS-Plus allows users to retain the convenience of recording on their mobile device, at the same time, it also considers the integrity of the records, so let people will no longer feel recording is a trouble. In addition, we converted the image tags that used to annotate into text through the crowdsourcing system to solve the problem which users couldn’t enter text because of the multilingual annotation, it resulted in a lack of databases. In the evaluation, users argued that the image tags annotation method could solve the problem of multilingual annotation effectively, as well as saving the time they typing on their moblie devices, even more it can enhance the integrity and convenience of records. We got a good resolution rate of converting the image tags into text by crowdsourcing system and found that more professional crowds do not bring better results. On the contrary, we could rely on a few of professional crowds to reduce the problems, then got a better results.