Full metadata record
DC FieldValueLanguage
dc.contributor.author廖祐楷en_US
dc.contributor.authorLiao, Yo-Kaien_US
dc.contributor.author傅心家en_US
dc.contributor.authorFu, Hsin-Chiaen_US
dc.date.accessioned2015-11-26T01:05:48Z-
dc.date.available2015-11-26T01:05:48Z-
dc.date.issued2010en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079755556en_US
dc.identifier.urihttp://hdl.handle.net/11536/45903-
dc.description.abstract現在有多個拍賣網站,買家要比價要每個網站都去,很麻煩。所以我用程式將多個拍賣網站的資料下載到我的電腦,並架設了一個網站,使用者只要在我的網站搜尋就可以找到多個拍賣網站的物品。 本篇論文實作了實驗室研發的搜尋圖片的方法「色彩集群」,使用主色彩產生的點圖計算兩張圖片之間的相似度。將這個圖片搜尋方法結合拍賣網站下載的資料,使用者可以用圖片找到多個拍賣網站中的相似物品。zh_TW
dc.description.abstractThere are many auction sites, buyer has to price relations to each site, it’s very troublesome. I download data of each auction site with program, and set up my website. User can simply search in my site, and he can search items of each auction site. In this paper, I implemented “Color Clustering” which is a method of search images researched by my lab. The method is to compute similarity with bitmaps generated by dominant color. The method combine with the data downloaded in each auction sites, user can find similar items by image.en_US
dc.language.isozh_TWen_US
dc.subject圖片搜尋zh_TW
dc.subject圖片檢索zh_TW
dc.subject網購zh_TW
dc.subjectImage Searchen_US
dc.subjectImage Retrievalen_US
dc.subjecte-shoppingen_US
dc.title按圖網購系統zh_TW
dc.titleImage based Web e-shopping Systemsen_US
dc.typeThesisen_US
dc.contributor.department資訊科學與工程研究所zh_TW
Appears in Collections:Thesis


Files in This Item:

  1. 555601.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.