• DocumentCode
    2864936
  • Title

    MMID: Multimodal Multi-view Integrated Database for human behavior understanding

  • Author

    Nakamura, Yuichi ; KIMURA, Yoshifumi ; YU, Ye ; Ohta, Yuichi

  • Author_Institution
    Inst. of Inf. Sci. & Electron., Tsukuba Univ., Japan
  • fYear
    1998
  • fDate
    14-16 Apr 1998
  • Firstpage
    540
  • Lastpage
    545
  • Abstract
    The paper introduces the Multimodal Multi-view Integrated Database (MMID), which holds human activities in presentation situations. MMID contains audio, video, human body motions, and transcripts, which are related to each other by their occurrence time. MMID accepts basic queries for the stored data. One can examine, by referring the retrieved data, how the different modalities are cooperatively and complementarily used in real situations. This examination over different situations is essential for understanding human behaviors, since they are heavily dependent on their contexts and personal characteristics. In this sense, MMID can serve as a basis for systematic or statistical analysis of those modalities, and it can be a good tool when one designs an intelligent user interface system or a multimedia contents handling system. The authors present the database design and its possible applications
  • Keywords
    behavioural sciences computing; image recognition; motion estimation; multimedia computing; query processing; statistical analysis; user interfaces; visual databases; MMID; Multimodal Multi-view Integrated Database; audio; contexts; human activities; human behavior understanding; human body motion; intelligent user interface system; modalities; multimedia contents handling system; occurrence time; personal characteristics; presentation situations; queries; statistical analysis; stored data; systematic analysis; transcripts; video; Anthropometry; Databases; Face; Human computer interaction; Information retrieval; Intelligent systems; Position measurement; Speech; Statistical analysis; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
  • Conference_Location
    Nara
  • Print_ISBN
    0-8186-8344-9
  • Type

    conf

  • DOI
    10.1109/AFGR.1998.671004
  • Filename
    671004