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Paper Abstract and Keywords
Presentation 2013-01-23 11:10
Co-segmentation based on Multiple-Instance Learning
Jun Sakata, Toshikazu Wada (Wakayama Univ.) PRMU2012-90 MVE2012-55
Abstract (in Japanese) (See Japanese page) 
(in English) Appearance learning of an object represented by a text can be realized by utilizing image retrieval systems on the Internet. This enables us a real-world object search system, which searches real object providing a text representing the object. Images collected by an image retrieval system, however, cannot be used for appearance learning, because the object locations and sizes are not uniform among collected images. That is, object localization in each image is required. This problem can be taken as a co-segmentation problem extracting common object among images, and we propose a method based on Multiple-Instance Learning (MIL) framework. Our method consists of two parts, foreground-background modeling and discrete optimization to obtain object regions. Foreground-background modeling is to compute Diverse Density (DD) for excessively partitioned image regions, where original DD represents similarity among positive features and dissimilarity between negative features. In our method, we slightly modified the DD definition to fit the co-segmentation problem. Experimental results using iCoseg database demonstrates higher accuracy of our method than other methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Co-segmentation / iCoseg database / Multiple-Instance Learning / Diverse Density / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 385, PRMU2012-90, pp. 81-86, Jan. 2013.
Paper # PRMU2012-90 
Date of Issue 2013-01-16 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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Conference Information
Committee PRMU MVE IPSJ-CVIM  
Conference Date 2013-01-23 - 2013-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2013-01-PRMU-MVE-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Co-segmentation based on Multiple-Instance Learning 
Sub Title (in English)  
Keyword(1) Co-segmentation  
Keyword(2) iCoseg database  
Keyword(3) Multiple-Instance Learning  
Keyword(4) Diverse Density  
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1st Author's Name Jun Sakata  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Toshikazu Wada  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
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Speaker Author-1 
Date Time 2013-01-23 11:10:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-90, MVE2012-55 
Volume (vol) vol.112 
Number (no) no.385(PRMU), no.386(MVE) 
Page pp.81-86 
#Pages
Date of Issue 2013-01-16 (PRMU, MVE) 


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