CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos
Zhang, Yifan1; Tang, Zhiqiang1; Wu, Baoyuan1; Ji, Qiang2; Lu, Hanqing1
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2016-12-01
Volume25Issue:12Pages:5780-5792
SubtypeArticle
AbstractFor face naming in TV series or movies, a typical way is using subtitles/script alignment to get the time stamps of the names, and tagging them to the faces. We study the problem of face naming in videos when subtitles are not available. To this end, we divide the problem into two tasks: face clustering which groups the faces depicting a certain person into a cluster, and name assignment which associates a name to each face. Each task is formulated as a structured prediction problem and modeled by a hidden conditional random field (HCRF) model. We argue that the two tasks are correlated problems whose outputs can provide prior knowledge of the target prediction for each other. The two HCRFs are coupled in a unified graphical model called coupled HCRF where the joint dependence of the cluster labels and face name association is naturally embedded in the correlation between the two HCRFs. We provide an effective algorithm to optimize the two HCRFs iteratively and the performance of the two tasks on real-world data set can be both improved.
KeywordFace Clustering Face Naming Conditional Random Field
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIP.2016.2601491
WOS KeywordFEATURE-LENGTH FILMS ; CHARACTER IDENTIFICATION ; NAME
Indexed BySCI
Language英语
Funding Organization863 Program(2014AA015100) ; National Natural Science Foundation of China(61332016 ; DARPA PerSEAS Program(HR0011-10-C-0112) ; 61572500 ; 61379100)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000388205200005
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13353
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
Recommended Citation
GB/T 7714
Zhang, Yifan,Tang, Zhiqiang,Wu, Baoyuan,et al. A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,25(12):5780-5792.
APA Zhang, Yifan,Tang, Zhiqiang,Wu, Baoyuan,Ji, Qiang,&Lu, Hanqing.(2016).A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos.IEEE TRANSACTIONS ON IMAGE PROCESSING,25(12),5780-5792.
MLA Zhang, Yifan,et al."A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos".IEEE TRANSACTIONS ON IMAGE PROCESSING 25.12(2016):5780-5792.
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