Cross-modality based Face Naming For News image Collection

Peng Jinye; Xueping Su; Xiaoyi Feng; Jun Wu; Jianping Fan

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Cross-modality based Face Naming For News image Collection

Peng Jinye 1 *,Xueping Su 2 #,Xiaoyi Feng 3,Jun Wu 3,Jianping Fan 3

1.School of electronics and information,Northwestern Polytechnical University, Xi\'an 710072

2.School of electronics and information,Northwestern Polytechnical University,Xi'an,71019

3.School of electronics and information,Northwestern Polytechnical University,Xi'an,71019

*Correspondence author

#Submitted by

Subject:

Funding: Research fund for the doctoral program of higher education of china（No.No.20096102110025）

Opened online:22 January 2013

Accepted by: none

Citation: Peng Jinye ,Xueping Su,Xiaoyi Feng.Cross-modality based Face Naming For News image Collection[OL]. [22 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4506794

For automatically mining the underlying relationships between different famous persons in daily news, for example, building a news person based network with the faces as icons to facilitate face-based person finding, we need a tool to automatically label faces in new images as their real names. This paper studies the problem of linking names with faces from large-scale news images with captions. In our previous work, we proposed a method called Person-based Subset Clustering which is mainly based on face clustering for all face images derived from the same name. The location where a name appears in a caption, as well as the visual structural information within a news image provided informative cues such as who are really in the associated image. By combining the domain knowledge from the captions and the corresponding image we propose a novel cross-modality approach to further improve the performance of linking names with faces. The experiments are performed on the data sets including approximately half a million news images from Yahoo! news, and the results show that the proposed method achieves significant improvement over the clustering-only methods.

Keywords:Image processing; Cross-modality; Rank aggregation; Face Naming

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