Artificial intelligence in TV

Autor: Daniel Arun Rajapandian, Julian Justus Justin Samuel, Girithar Anthay Suthakaran, Praveen Kumar Sunil, Bharath Chand Suresh Mull
Rok vydání: 2010
Předmět:
Zdroj: 2010 The 2nd International Conference on Industrial Mechatronics and Automation.
DOI: 10.1109/icindma.2010.5538238
Popis: 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.
Databáze: OpenAIRE