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
Link To Document :
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