Title :
Mash up of Breaking News and Contextual Web Information: A Novel Service for Connected Television
Author :
Chattopadhyay, T. ; Pal, Arpan ; Garain, Utpal
Author_Institution :
Innovation Lab., Tata Consultancy Services, Kolkata, India
Abstract :
The Connected TV can be described as an Internet enabled TV. In the current paper we have proposed a system for connected TV that mash up the information from internet and RSS feeds related to the breaking news aired over the TV. The proposed system initially localize the text regions from the streamed video in hybrid mode, then recognize them and spot the key words and finally fetch the related information from Internet. Our experimental results show that the localization of the text regions from the video can work with no misses but have some false positives which are taken care by data semantic analysis. The errors of the Optical Character recognition (OCR) module are taken care by using string comparing techniques like longest common subsequence matching and Leveinsthein distance while matching with the RSS feed or internet.
Keywords :
Internet; image matching; optical character recognition; television applications; video streaming; Internet-enabled TV; Leveinsthein distance; OCR module; RSS feeds; breaking news; connected TV; connected television; contextual web information; data semantic analysis; longest common subsequence matching; optical character recognition; string comparing techniques; text region localization; video streaming; Accuracy; Feeds; Internet; Noise; Optical character recognition software; Pixel; TV;
Conference_Titel :
Computer Communications and Networks (ICCCN), 2010 Proceedings of 19th International Conference on
Conference_Location :
Zurich
Print_ISBN :
978-1-4244-7114-0
DOI :
10.1109/ICCCN.2010.5560063
