Presentation | 2008-12-19 Annotation method of segmented regions using a number of feature points shared among different images Yuichi YOSHIDA, Mitsuru AMBAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose an object annotation method for images obtained by widely available search engines on internet. The goal of this research is to extract the common objects from a large number of images and label them by the query words. Our method analyzes images retrieved from search engines and performs segmentation based on shared local visual features. Images retrieved from search engines presumably contain the same objects that represent the query words. Then the extracted common regions are labeled by the query words. Such object recognition method would open the doors to new applications in web services. For instance, it can make images be "clickable". We performed an experiment by using images retrieved from "Google Image Search". We present the concept of proposed method and results of the experiment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | annotation / segmentation / local feature description / image search |
Paper # | PRMU2008-176 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2008/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Annotation method of segmented regions using a number of feature points shared among different images |
Sub Title (in English) | |
Keyword(1) | annotation |
Keyword(2) | segmentation |
Keyword(3) | local feature description |
Keyword(4) | image search |
1st Author's Name | Yuichi YOSHIDA |
1st Author's Affiliation | DENSO IT LABORATORY, INC.() |
2nd Author's Name | Mitsuru AMBAI |
2nd Author's Affiliation | DENSO IT LABORATORY, INC. |
Date | 2008-12-19 |
Paper # | PRMU2008-176 |
Volume (vol) | vol.108 |
Number (no) | 363 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |