Deep Cross-Modal Face Naming for People News Retrieval
Deep Cross-Modal Face Naming for People News Retrieval
复制标题
用于人物新闻检索的深度跨模态人脸命名
DOI:
10.1109/tkde.2019.2948875
复制
发表时间:
2019-10
影响因子:
8.9
通讯作者:
Weiguo Fan
中科院分区:
文献类型:
--
作者:
Yong Tian;Lian Zhou;Yuejie Zhang;Tao Zhang;Weiguo Fan
How to integrate multimodal information sources for face naming in multimodal news is a hot and yet challenging problem. A novel deep cross-modal face naming scheme is developed in this paper to facilitate more effective people news retrieval for large-scale multimodal news. This scheme integrates deep multimodal analysis, cross-modal correlation learning, and multimodal information mining, in which the efficient naming mechanism aims to cluster the deep features of different modalities into a common space to explore their inter-related correlations, and a special Web mining pattern is designed to optimize the name-face matching for rare non-celebrity. Such a cross-modal face naming model can be treated as a problem of bi-media semantic mapping and modeled as an inter-related correlation distribution over deep representations of multimodal news, in which the most important is to create more effective cross-modal name-face correlation and measure to what degree they are correlated. The experiments on a large number of public data from Yahoo! News have obtained very positive results and demonstrated the effectiveness of the proposed model.
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影响因子:
7.3
作者:
Yueting Zhuang;Yi Yang;Fei Wu
通讯作者:
Yueting Zhuang;Yi Yang;Fei Wu
DOI:
10.1109/cvpr.2004.175
发表时间:
2004-06
期刊:
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
影响因子:
--
作者:
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通讯作者:
Tamara L. Berg;A. Berg;Jaety Edwards;M. Maire;Ryan White;Y. Teh;E. Learned-Miller;D. Forsyth
DOI:
10.1109/tpami.2017.2709749
发表时间:
2018-05-01
影响因子:
23.6
作者:
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通讯作者:
Tian, Qi
影响因子:
6
作者:
Dan Zeng;Yixin Bao;Ke Liu;Fan Zhao;Q. Tian
通讯作者:
Dan Zeng;Yixin Bao;Ke Liu;Fan Zhao;Q. Tian
DOI:
10.5244/c.25.29
发表时间:
2011
期刊:
--
影响因子:
--
作者:
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通讯作者:
M. Özcan;Jie Luo;V. Ferrari;B. Caputo