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Linking names and faces by person-based subset clustering

Published: 05 August 2011 Publication History

Abstract

In this paper we address the challenge problem of linking names and faces from online news. Developing accurate technologies for linking names and faces is valuable when retrieving or mining information from images collections. Here, we propose a novel method called Person-based Subset Clustering. It divides into four steps. Firstly, we detect names in the captions. Secondly, for the target name, we retrieval all images with the same name. Thirdly, each image is normalized by calibrating two facial feature points. And then we extract the Local Gabor Binary Pattern Histogram Sequence as the local visual features to represent each face image, and pair-wise distances are calculated. Finally, several clustering methods are applied to clustering the faces. Experiments show the effectiveness of our method, which is based on a data set consisting of approximately 690 news pictures and captions from Yahoo News.

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Berg, T. Berg, A. Edwards, J. Maire, M. White, R. The. Y. Learned-Miller. E. Forsyth. D.2004.Names and faces in the news. In: CVPR. Volume 2. (2004), 848--854.
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Cited By

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  • (2018)Cross-modality based celebrity face naming for news image collectionsMultimedia Tools and Applications10.1007/s11042-013-1578-673:3(1643-1661)Online publication date: 31-Dec-2018
  • (2016)Labeling faces with names based on the name semantic networkMultimedia Tools and Applications10.1007/s11042-015-2581-x75:11(6445-6462)Online publication date: 1-Jun-2016

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  1. Linking names and faces by person-based subset clustering

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    cover image ACM Other conferences
    ICIMCS '11: Proceedings of the Third International Conference on Internet Multimedia Computing and Service
    August 2011
    208 pages
    ISBN:9781450309189
    DOI:10.1145/2043674
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Sichuan University
    • Chinese Academy of Sciences
    • SCF: Sichuan Computer Federation
    • Southwest Jiaotong University
    • Beijing ACM SIGMM Chapter

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 August 2011

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    Author Tags

    1. K-means cluster
    2. affinity propagation
    3. local Gabor binary pattern histogram sequence

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    Cited By

    View all
    • (2018)Cross-modality based celebrity face naming for news image collectionsMultimedia Tools and Applications10.1007/s11042-013-1578-673:3(1643-1661)Online publication date: 31-Dec-2018
    • (2016)Labeling faces with names based on the name semantic networkMultimedia Tools and Applications10.1007/s11042-015-2581-x75:11(6445-6462)Online publication date: 1-Jun-2016

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