• DocumentCode
    1423320
  • Title

    Ontology-based automatic video annotation technique in smart TV environment

  • Author

    Jeong, Jin-Woo ; Hong, Hyun-Ki ; Lee, Dong-Ho

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hanyang Univ., Seoul, South Korea
  • Volume
    57
  • Issue
    4
  • fYear
    2011
  • fDate
    11/1/2011 12:00:00 AM
  • Firstpage
    1830
  • Lastpage
    1836
  • Abstract
    Due to the recent explosive growth of smart TV and its applications, the need for multimedia contents analysis techniques for smart TV environment has dramatically increased. In particular, automatic video annotation and summarization technique is considered as one of the most important technique for smart TV because an enormous number of social videos are now becoming available as well as traditional digital videos such as TV programs and VODs. In this paper, we present an automatic video annotation technique which employs the ontologies to facilitate the video retrieval and sharing process in smart TV environment. In our work, ontologies are exploited to hierarchically describe the contents of video and facilitate the sharing of video contents among heterogeneous users or devices (e.g., smart phone, PDA, and so on). Through various experimental results, we show the effectiveness of the proposed approach.
  • Keywords
    content-based retrieval; digital television; multimedia communication; ontologies (artificial intelligence); video retrieval; video signal processing; automatic video annotation; digital videos; multimedia contents analysis; ontology; smart TV; social videos; summarization technique; video retrieval; video sharing; Feature extraction; Image color analysis; Multimedia communication; Ontologies; Semantics; TV; Visualization; IPTV; Ontology.; Smart TV; Video annotation;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2011.6131160
  • Filename
    6131160