Community as a connector: Associating faces with celebrity names in web videos
Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Associ...
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sg-smu-ink.sis_research-75182022-01-10T03:55:41Z Community as a connector: Associating faces with celebrity names in web videos CHEN, Zhineng NGO, Chong-wah CAO, Juan ZHANG, Wei Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as the constrained density-based clustering and exemplar based voting are developed by leveraging different pieces of visual and contextual cues. The evaluation on 0.4 million faces and 144 celebrities shows the effectiveness of the proposed C-CNFA approach. Moreover, using the obtained associations, encouraging results are reported in celebrity video ranking. 2012-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6515 info:doi/10.1145/2393347.2396318 https://ink.library.smu.edu.sg/context/sis_research/article/7518/viewcontent/2393347.2396318.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 celebrity videos community analysis name-face association Data Storage Systems Graphics and Human Computer Interfaces |
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celebrity videos community analysis name-face association Data Storage Systems Graphics and Human Computer Interfaces CHEN, Zhineng NGO, Chong-wah CAO, Juan ZHANG, Wei Community as a connector: Associating faces with celebrity names in web videos |
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Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as the constrained density-based clustering and exemplar based voting are developed by leveraging different pieces of visual and contextual cues. The evaluation on 0.4 million faces and 144 celebrities shows the effectiveness of the proposed C-CNFA approach. Moreover, using the obtained associations, encouraging results are reported in celebrity video ranking. |
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CHEN, Zhineng NGO, Chong-wah CAO, Juan ZHANG, Wei |
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CHEN, Zhineng NGO, Chong-wah CAO, Juan ZHANG, Wei |
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CHEN, Zhineng |
title |
Community as a connector: Associating faces with celebrity names in web videos |
title_short |
Community as a connector: Associating faces with celebrity names in web videos |
title_full |
Community as a connector: Associating faces with celebrity names in web videos |
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Community as a connector: Associating faces with celebrity names in web videos |
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Community as a connector: Associating faces with celebrity names in web videos |
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community as a connector: associating faces with celebrity names in web videos |
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Institutional Knowledge at Singapore Management University |
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2012 |
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https://ink.library.smu.edu.sg/sis_research/6515 https://ink.library.smu.edu.sg/context/sis_research/article/7518/viewcontent/2393347.2396318.pdf |
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