中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images

文献类型:期刊论文

作者Zhi-Heng Wang; Chao Guo; Hong-Min Liu; Zhan-Qiang Huo
刊名International Journal of Automation and Computing
出版日期2018
卷号15期号:4页码:454-461
关键词News video images captions recognizing captions locating content understanding maximum feature score region (MFSR).
ISSN号1476-8186
DOI10.1007/s11633-015-0943-5
英文摘要For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple but effective caption locating algorithm called maximum feature score region (MFSR) based method, which mainly consists of two stages: In the first stage, up/down boundaries are attained by turning to edge map projection. Then, maximum feature score region is defined and left/right boundaries are achieved by utilizing MFSR. Experiments show that the proposed MFSR based method has superior and robust performance on news video images of different types.
源URL[http://ir.ia.ac.cn/handle/173211/42423]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China
推荐引用方式
GB/T 7714
Zhi-Heng Wang,Chao Guo,Hong-Min Liu,et al. MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images[J]. International Journal of Automation and Computing,2018,15(4):454-461.
APA Zhi-Heng Wang,Chao Guo,Hong-Min Liu,&Zhan-Qiang Huo.(2018).MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images.International Journal of Automation and Computing,15(4),454-461.
MLA Zhi-Heng Wang,et al."MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images".International Journal of Automation and Computing 15.4(2018):454-461.

入库方式: OAI收割

来源:自动化研究所

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