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HCMUS team at the Multimodal Person Discovery in Broadcast TV Task of MediaEval 2016

Vinh-Tiep Nguyen, Manh-Tien H. Nguyen, Quoc-Huu Che, Van-Tu Ninh, Tu-Khiem Le, Thanh-An Nguyen, Minh-Triet Tran
2016 MediaEval Benchmarking Initiative for Multimedia Evaluation  
We present the method of the HCMUS team participating in Multimodal Person Discovery in Broadcast TV Task at the MediaEval Challenge 2016. There are two main processes in our method.  ...  We also apply several simple techniques to check the consistency of linking a name with a face track to reduce potential wrong matching pairs.  ...  for their supports of computing infrastructure to our team in this challenge.  ... 
dblp:conf/mediaeval/NguyenNCNLNT16 fatcat:woimsmtwcrbf3epzwckurds4la

Multimodal person recognition in audio-visual streams

Do Hoang Nam Le
On the other hand, multimedia videos contain resourceful data of people in both visual and auditory domains. This offers a potential for multimodal learning in the task of human identification.  ...  First, this thesis deals with algorithms to create indexes through person discovery in videos. It involves several components: face and speaker diarization, face-voice association, and person naming.  ...  Integrated person discovery system Person discovery challenge at MediaEval 2016 To evaluate our multimodal system, the EUMSSI consortium participated in the MediaEval challenge 2016 [73] .  ... 
doi:10.5075/epfl-thesis-9442 fatcat:t6sxefjxvjafnjhgyripcn4faq