文献
J-GLOBAL ID:202102247999187264
整理番号:21A3307514
多様なビデオコピー-ムーブ型のための効果的で効率的な画素レベル検出【JST・京大機械翻訳】
Effective and efficient pixel-level detection for diverse video copy-move forgery types
著者 (7件):
Zhong Jun-Liu
(Department of Information and Communication Engineering, Guangzhou Maritime University, Guangzhou 510725, China)
,
Gan Yan-Fen
(Department of Information Science and Technology, the South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China)
,
Gan Yan-Fen
(Department of Computer and Information Science, University of Macau, Macau 999078, China)
,
Vong Chi-Man
(Department of Computer and Information Science, University of Macau, Macau 999078, China)
,
Yang Ji-Xiang
(Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China)
,
Zhao Jing-Hong
(Department of Computer and Information Science, University of Macau, Macau 999078, China)
,
Luo Jia-Hua
(Department of Computer and Information Science, University of Macau, Macau 999078, China)
資料名:
Pattern Recognition
(Pattern Recognition)
巻:
122
ページ:
Null
発行年:
2022年
JST資料番号:
D0611A
ISSN:
0031-3203
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)