• DocumentCode
    3395672
  • Title

    Artificial intelligence in TV

  • Author

    Suthakaran, Girithar Anthay ; Mull, Bharath Chand Suresh ; Rajapandian, Daniel Arun ; Samuel, Julian Justus Justin ; Sunil, Praveen Kumar

  • Author_Institution
    Electron. & Commun. Eng\\, Saveetha Eng. Coll., Chennai, India
  • Volume
    2
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    595
  • Lastpage
    598
  • Abstract
    The digital television (DTV) semiconductor market is expected to grow to $7.7billion in 2010 and to $10 billion in 2013, an 18% CAGR. Flat screen DTV semiconductor revenue will grow to $6.9 billion in 2010 and to $9 billion in 2013, a 25% CAGR. The above mentioned numbers provide huge opportunity for TV vendors but in a highly-competitive environment. Introducing value added features is one of the ways to address the intense competition. Increase in the number of television channels and programs have provided a number of choices to the consumer, which has led to confusion. The user interested favorite item can be a song, a comedy scene. This may be transmitted in a particular channel while he is viewing another one and the user might end up missing his favorite program. This write-up proposes a solution by which the manufacturer will be able to provide an advanced feature, which ensures the consumers get a great experience without missing their favorites.
  • Keywords
    Artificial intelligence; Automation; Communication industry; Digital TV; Electronics industry; Layout; Mechatronics; Switches; TV broadcasting; Watches; Correlation - Comparison of two signals; iTV- Intelligent Television;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7653-4
  • Type

    conf

  • DOI
    10.1109/ICINDMA.2010.5538238
  • Filename
    5538238