Presentation 2006-07-13
Image Retrieval using Shape Features
Eriko TANAKA, Kazuaki UEDA, Yuji NAKAGAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, the more we register lots of images in the database, the more it takes processing time to find the image similar to the query image in the database. As a solution, we perform the perform detail search. In the paper, we detail search method using shape features. Thus, we can calculate similarity of the query image and comparison image.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image database / Shape Features / Similarity / image retrieval
Paper # DE2006-53
Date of Issue

Conference Information
Committee DE
Conference Date 2006/7/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Retrieval using Shape Features
Sub Title (in English)
Keyword(1) Image database
Keyword(2) Shape Features
Keyword(3) Similarity
Keyword(4) image retrieval
1st Author's Name Eriko TANAKA
1st Author's Affiliation Graduate school of Science and Engineering, Ehime University()
2nd Author's Name Kazuaki UEDA
2nd Author's Affiliation Graduate school of Science and Engineering, Ehime University
3rd Author's Name Yuji NAKAGAWA
3rd Author's Affiliation Center for Information Technology, Ehime university
Date 2006-07-13
Paper # DE2006-53
Volume (vol) vol.106
Number (no) 149
Page pp.pp.-
#Pages 4
Date of Issue