| Paper Abstract and Keywords |
| Presentation |
2013-02-18 10:00
Efficient Saliency Estimation Using Weakly Supervised Learning and Its Application to Video Classification
Tadashi Matsumura (Kobe Univ.), Kimiaki Shirahama (Muroran Inst. of Tech.), Kuniaki Uehara (Kobe Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper develops a ``Focus of Attention'' (FoA) method which detects salient regions in videos based on ``contextual cueing'', meaning that similar regions tend to be salient in videos with similar spatial layouts. To implement this, using training videos where salient regions are labeled in advance, salient regions in a testing video are detected by referring to a training video, which has the spatial layout similar to that of the testing video. However, although a large number of training videos are required for covering various spatial layouts, the preparation of these videos is very laborious. Thus, this paper utilizes ``weakly supervised learning'' to efficiently create training videos, where salient regions are estimated only using labels that indicate what kind of objects are salient. Experimental results shows the effectiveness of our method, compared to using training videos where salient regions are manually labeled. In addition, detected salient regions are useful for video classification, which distinguishes videos where a certain concept is present from the rest of videos. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Focus of attention / Top-down process / Contextual cueing / Weakly supervised learning / Video classification / / / |
| Reference Info. |
ITE Tech. Rep., vol. 37, no. 8, ME2013-31, pp. 13-18, Feb. 2013. |
| Paper # |
ME2013-31 |
| Date of Issue |
2013-02-11 (HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 |
| Download PDF |
|
| Conference Information |
| Committee |
IEICE-ITS IEICE-IE AIT HI ME |
| Conference Date |
2013-02-18 - 2013-02-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
ITS Image Processsing, Image Medium, Vision, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2013-02-ITS-IE-AIT-HI-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Efficient Saliency Estimation Using Weakly Supervised Learning and Its Application to Video Classification |
| Sub Title (in English) |
|
| Keyword(1) |
Focus of attention |
| Keyword(2) |
Top-down process |
| Keyword(3) |
Contextual cueing |
| Keyword(4) |
Weakly supervised learning |
| Keyword(5) |
Video classification |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Tadashi Matsumura |
| 1st Author's Affiliation |
Kobe University (Kobe Univ.) |
| 2nd Author's Name |
Kimiaki Shirahama |
| 2nd Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 3rd Author's Name |
Kuniaki Uehara |
| 3rd Author's Affiliation |
Kobe University (Kobe Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2013-02-18 10:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
ME |
| Paper # |
HI2013-3, ME2013-31, AIT2013-3 |
| Volume (vol) |
vol.37 |
| Number (no) |
no.8 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2013-02-11 (HI, ME, AIT) |