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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:40
Online online A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose an inspection action classification method using first and third person videos of engineers in... [more] MMS2022-25 ME2022-50 AIT2022-25
pp.177-180
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] 2014-02-18
12:00
Hokkaido Hokkaido Univ. Reduce computational complexity method based on GOP structures
Kazuhiro Chida, Kazuhisa Iguchi, Yasuko Sugitou, Atsuro Ichigaya, Shinichi Sakaida (NHK)
HEVC/H.265 is intended to provide significantly better coding performance than existing video coding system. However, it... [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] 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 - 4 of 4  /   
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