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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IIEEJ, AIT 2021-10-27
15:20
Osaka
(Primary: On-site, Secondary: Online)
Scene Segmentation for Instruction Videos by Learning Similarity between Videos and Sentence
Jumpei Hayashi, Yota Yamamoto, Yukinobu Taniguchi (TUS)
In industry such as manufacturing or restaurant, many companies use videos of experts’ work to efficiently transfer thei... [more] AIT2021-144
pp.13-16
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-29
14:30
Online Online A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.)
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more]
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-19
09:40
Hokkaido Hokkaido Univ. A Scene Segmentation Method Based on Video Structures in Music Programs -- Verifying the Effect of Face Recognition on Scene Segmentation Accuracy --
Soh Yoshida, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
We have proposed a scene segmentaiton method which focuses on the structures that performers such as hosts and singers r... [more] HI2013-14 ME2013-42 AIT2013-14
pp.101-106
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2013-02-19
14:00
Hokkaido Hokkaido Univ. A Note on Accurate Soccer Video Segmentation Based on the Team Possessing the Ball
Shuhei Ohnuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for accurate soccer video segmentation based on the team possessing the ball. Our pre... [more] HI2013-23 ME2013-51 AIT2013-23
pp.147-151
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2011-02-21
- 2011-02-22
Hokkaido Hokkaido University A note on accurate scene segmentation based on the MCMC method using object matching
Yan Song, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper proposes an accurate scene segmentation method based on the Markov Chain Monte Carlo (MCMC) algorithm using o... [more]
 Results 1 - 5 of 5  /   
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