文献
J-GLOBAL ID:201702235303333986
整理番号:17A0021292
圧縮と画素領域における行動認識法のロバスト性について【Powered by NICT】
On the robustness of action recognition methods in compressed and pixel domain
著者 (7件):
Srinivasan Vignesh
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Gul Serhan
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Bosse Sebastian
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Meyer Jan Timo
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Schierl Thomas
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Hellge Cornelius
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
,
Samek Wojciech
(Dept. of Video Coding & Analytics, Fraunhofer Heinrich Hertz Institute, Berlin, Germany)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
EUVIP
ページ:
1-6
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)