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 [BibTeX] [Marc21]
Towards large scale multimedia indexing: A case study on person discovery in broadcast news
Type of publication: Conference paper
Citation: Le_CBMI_2017
Publication status: Accepted
Booktitle: 15th International Workshop on Content-Based Multimedia Indexing
Year: 2017
Month: June
Abstract: The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery in the absence of prior identity knowledge requires accurate association of audio-visual cues and detected names. To this end, we present 3 different strategies to approach this problem: clustering-based naming, verification-based naming, and graph-based naming. Each of these strategies utilizes different recent advances in unsupervised face / speech representation, verification, and optimization. To have a better understanding of the approaches, this paper also provides a quantitative and qualitative comparative study of these approaches using the associated corpus of the Person Discovery challenge at MediaEval 2016. From the results of our experiments, we can observe the pros and cons of each approach, thus paving the way for future promising research directions.
Keywords: face clustering, person diarization, person discovery, Speaker Diarization
Projects Idiap
Authors Le, Nam
Odobez, Jean-Marc
et al.
Added by: [UNK]
Total mark: 0
  • Le_CBMI_2017.pdf