FANS: Face annotation by searching large-scale web facial images
Auto face annotation is an important technique for many real-world applications, such as online photo album management, new video summarization, and so on. It aims to automatically detect human faces from a photo image and further name the faces with the corresponding human names. Recently, mining w...
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sg-smu-ink.sis_research-33392020-04-01T02:10:08Z FANS: Face annotation by searching large-scale web facial images HOI, Steven WANG, Dayong CHENG, I Yeu LIN, Elmer ZHU, Jianke HE, Ying MIAO, Chunyan Auto face annotation is an important technique for many real-world applications, such as online photo album management, new video summarization, and so on. It aims to automatically detect human faces from a photo image and further name the faces with the corresponding human names. Recently, mining web facial images on the internet has emerged as a promising paradigm towards auto face annotation. In this paper, we present a demonstration system of search-based face annotation: FANS - Face ANnotation by Searching large-scale web facial images. Given a query facial image for annotation, we first retrieve a short list of the most similar facial images from a web facial image database, and then annotate the query facial image by mining the top-ranking facial images and their corresponding labels with sparse representation techniques. Our demo system was built upon a large-scale real-world web facial image database with a total of 6,025 persons and about 1 million facial images. This paper demonstrates the potential of searching and mining web-scale weakly labeled facial images on the internet to tackle the challenging face annotation problem, and addresses some open problems for future exploration by researchers in web community. The live demo of FANS is available online at http://msm.cais.ntu.edu.sg/FANS/ 2013-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2339 info:doi/10.1145/2487788.2487933 https://ink.library.smu.edu.sg/context/sis_research/article/3339/viewcontent/FANS_Face_Annotation_by_Searching_Large_scale_Web_Facial_Images.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Search-based face annotation Web data mining Web facial images Computer Sciences Databases and Information Systems Numerical Analysis and Scientific Computing |
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Search-based face annotation Web data mining Web facial images Computer Sciences Databases and Information Systems Numerical Analysis and Scientific Computing HOI, Steven WANG, Dayong CHENG, I Yeu LIN, Elmer ZHU, Jianke HE, Ying MIAO, Chunyan FANS: Face annotation by searching large-scale web facial images |
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Auto face annotation is an important technique for many real-world applications, such as online photo album management, new video summarization, and so on. It aims to automatically detect human faces from a photo image and further name the faces with the corresponding human names. Recently, mining web facial images on the internet has emerged as a promising paradigm towards auto face annotation. In this paper, we present a demonstration system of search-based face annotation: FANS - Face ANnotation by Searching large-scale web facial images. Given a query facial image for annotation, we first retrieve a short list of the most similar facial images from a web facial image database, and then annotate the query facial image by mining the top-ranking facial images and their corresponding labels with sparse representation techniques. Our demo system was built upon a large-scale real-world web facial image database with a total of 6,025 persons and about 1 million facial images. This paper demonstrates the potential of searching and mining web-scale weakly labeled facial images on the internet to tackle the challenging face annotation problem, and addresses some open problems for future exploration by researchers in web community. The live demo of FANS is available online at http://msm.cais.ntu.edu.sg/FANS/ |
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HOI, Steven WANG, Dayong CHENG, I Yeu LIN, Elmer ZHU, Jianke HE, Ying MIAO, Chunyan |
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HOI, Steven WANG, Dayong CHENG, I Yeu LIN, Elmer ZHU, Jianke HE, Ying MIAO, Chunyan |
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HOI, Steven |
title |
FANS: Face annotation by searching large-scale web facial images |
title_short |
FANS: Face annotation by searching large-scale web facial images |
title_full |
FANS: Face annotation by searching large-scale web facial images |
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FANS: Face annotation by searching large-scale web facial images |
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FANS: Face annotation by searching large-scale web facial images |
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fans: face annotation by searching large-scale web facial images |
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Institutional Knowledge at Singapore Management University |
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2013 |
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https://ink.library.smu.edu.sg/sis_research/2339 https://ink.library.smu.edu.sg/context/sis_research/article/3339/viewcontent/FANS_Face_Annotation_by_Searching_Large_scale_Web_Facial_Images.pdf |
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