IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
... (for ESS/CS/ES/ISS)
Tech. Rep. Archives
... (for ES/CS)
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2010-09-05 10:00
Generic Object Recognition Based on Rough Segmentation Data Given by a User
Mitsuru Ambai, Yuichi Yoshida (Denso IT Laboratory, Inc.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we revisit a generic object recognition problem from a point of view of human-computer interaction. Many of existing algorithms of the generic object recognition consist of following three tasks: target region segmentation, feature extraction and classification. While these three tasks are automatically processed on a computer in the previous approaches, solving the target region segmentation task by a computer is not always necessary in many practical situations in which a recognition system can request a user to input rough segmentation data of a target. Although rough segmentation may not give enough classification performance, the use of many rough segmentation datasets in learning process will avoid this problem. In order to validate this hypothesis, we created “20 wild bird datasets” and evaluated classification accuracy of the datasets. Our experiments revealed that generating multiple training samples from a single image by using multiple rough segmentation datasets brought positive effects on classification accuracies, especially when image features including spacial information such as PHOG and PHOW were used.
Keyword (in Japanese) (See Japanese page) 
(in English) generic object recognition / user interface / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 187, PRMU2010-59, pp. 13-20, Sept. 2010.
Paper # PRMU2010-59 
Date of Issue 2010-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Conference Date 2010-09-05 - 2010-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning and optimization for computer vision and pattern recognition, etc. 
Paper Information
Registration To PRMU 
Conference Code 2010-09-IBISML-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Generic Object Recognition Based on Rough Segmentation Data Given by a User 
Sub Title (in English)  
Keyword(1) generic object recognition  
Keyword(2) user interface  
1st Author's Name Mitsuru Ambai  
1st Author's Affiliation Denso IT Laboratory, Inc. (Denso IT Laboratory, Inc.)
2nd Author's Name Yuichi Yoshida  
2nd Author's Affiliation Denso IT Laboratory, Inc. (Denso IT Laboratory, Inc.)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Date Time 2010-09-05 10:00:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-PRMU2010-59,IEICE-IBISML2010-31 
Volume (vol) IEICE-110 
Number (no) no.187(PRMU), no.188(IBISML) 
Page pp.13-20 
#Pages IEICE-8 
Date of Issue IEICE-PRMU-2010-08-29,IEICE-IBISML-2010-08-29 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan