• DocumentCode
    3542543
  • Title

    Video annotation of TV content using audiovisual information

  • Author

    Mateus, João ; Malheiro, Frederico ; Cavaco, Sofia ; Correia, Nuno ; Jesus, Rui

  • Author_Institution
    Dept. de Inf., Univ. Nova de Lisboa, Caparica, Portugal
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    113
  • Lastpage
    118
  • Abstract
    Content provider companies and televisions have large video archives but usually do not take full advantage of them. In order to assist the exploration of video archives, we developed ViewProcFlow, a tool to automatically extract metadata from video. This metadata is obtained by applying several state of the art video processing methods applied to a real world challenge: cut detection, face detection and object identification. In addition, we also developed a method to annotate videos with concepts from audio and visual information. The main novelty of this technique is the use of environmental sound recognition to annotate video. The goal is to supply the system with more information such that it has a better understanding of the content and also to enable better browse and search functionalities. This tool has been included in the workflow of a video production company, which confirms its success.
  • Keywords
    audio signal processing; audio-visual systems; face recognition; meta data; object recognition; video signal processing; TV content video annotation; ViewProcFlow; audiovisual information; content provider companies; cut detection; environmental sound recognition; face detection; metadata; object identification; televisions; video archives; video processing methods; video production company; Airplanes; Browsers; Robustness; TV; Thesauri; Training; Visualization; media annotation; object identification; video analysis; video production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2012 International Conference on
  • Conference_Location
    Tangier
  • Print_ISBN
    978-1-4673-1518-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2012.6320188
  • Filename
    6320188