For a sports fan, watching a favorite player special moments in a match over and over brings great joy. 
Fans view these moments on multiple devices and share them with their network. Imagine providing 
personalized, shareable sports content for every fan, selecting just what he or she would love to watch. 
TCS research scientists are working on a holistic approach that will make content personalization 
automated and easy using annotations. Failing on available cognitive and affective annotations, we will do 
a spatial temporal annotations specific to each sport. The semantically approach then the two spot and 
expect the start to finish off appearance after five months. Fun is a ******** football fan. Voila, he can 
relive his favorite players golden moments from the match. He can re share this on his Instagram story. 
John can also share automatically generated meme worthy content suggested by the model. Content can be 
personalized for participatory sports too. When thousands run a marathon, you can allow every runner to 
relive the marathon experience through an automatically generated personalized video or photo book. In 
short, the approach can reduce post processing time increase. Fan engagement and allow control to the 
viewer on the choice of content. The media and advertising research area specs works from AI and 
behavioral science to reimagine the future of media experiences. We work on the state-of-the-art 
techniques to analyze media in order to monetize them and also to create new content. With our research in 
personal life and effective short form media, the applications can possibly be extended to other sports as 
well as content such as news. Movies and entertainment. It can offer a unique experience to every viewer 
and increase viewership and loyalty.