Spatiotemporal restoration of regions occluded by text in video sequences

被引:0
作者
Lee, CW [1 ]
Kang, HU
Lee, KUM
Jung, KC
Kim, HJ
机构
[1] Kyungpook Natl Univ, Dept Comp Engn, Taegu 702701, South Korea
[2] Soongsil Univ, Coll Informat Sci, Sch Media, Seoul 156743, South Korea
来源
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING | 2003年 / 2690卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Occasionally, there is a case in which text inserted manually in a video sequence for convenience of viewers is unnecessary for reuse of that video. For reusability, we propose an approach for automatic detection and removal of caption text using an SVM and spatiotemporal restoration in video sequences. After detecting text using an SVM, we restore the regions occluded by the text using a spatiotemporal restoration scheme. The proposed approach includes many applications such as translation of captions and replacement of indirect advertisements in videos.
引用
收藏
页码:1071 / 1075
页数:5
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