Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Do, Hang Nga"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Do Hang Nga, Keiji Yanai
Publikováno v:
Computer Vision and Image Understanding. 118:2-15
Video sharing websites have recently become a tremendous video source, which is easily accessible without any costs. This has encouraged researchers in the action recognition field to construct action database exploiting Web sources. However Web sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ab6107d840cab80bf29118527281dc3
https://doi.org/10.1016/j.cviu.2013.03.009
https://doi.org/10.1016/j.cviu.2013.03.009
Autor:
Do Hang Nga, Keiji Yanai
Publikováno v:
MultiMedia Modeling ISBN: 9783319041131
MMM (1)
MMM (1)
In this paper, we propose a novel method of extracting spatio-temporal features from videos. Given a video, we extract its features according to every set of N frames. The value of N is small enough to guarantee the temporal denseness of our features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a7934bb4ea63852d92ba5476e0a5ea7
https://doi.org/10.1007/978-3-319-04114-8_32
https://doi.org/10.1007/978-3-319-04114-8_32
Autor:
Keiji Yanai, Do Hang Nga
Publikováno v:
ICCV Workshops
In this paper, we propose a spatio-temporal feature which is based on the appearance and movement of interest SURF key points. Given a video, we extract its spatiotemporal features according to every small set of frames. For each frame set, we first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efb5de9c32dc918db820a00a43c2ba0
https://doi.org/10.1109/iccvw.2013.62
https://doi.org/10.1109/iccvw.2013.62
Autor:
Do Hang Nga, Keiji Yanai
Publikováno v:
ACM Multimedia
In this paper, we propose a novel ranking method, VisualTextualRank, which extends [1] and [2]. Our method is based on random walk over bipartite graph to integrate visual information of video shots and tag information of Web videos effectively. Note
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d140056009a25c3a46a63723f0f078db
https://doi.org/10.1145/2502081.2502139
https://doi.org/10.1145/2502081.2502139
Publikováno v:
Computational Intelligence Methods for Bioinformatics & Biostatistics: 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers; 2015, p128-138, 11p
Autor:
Do Hang Nga, Yanai, Keiji
Publikováno v:
2011 IEEE International Conference on Computer Vision (ICCV); 2011, p527-534, 8p
Autor:
Do, Hang Nga
Web動画から特定動作の対応ショットを自動的に抽出するシステムの提案
2012
2012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::5730a25f4dd3b14567b3fd8234e8f063
http://id.nii.ac.jp/1438/00002135/
http://id.nii.ac.jp/1438/00002135/