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![]() |
刊名 | International Journal of Automation and Computing
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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 |
DOI | 10.1007/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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