KUUKKELI-TV: ONLINE CONTENT-BASED SERVICES AND APPLICATIONS FOR BROADCAST TV WITH LONG-TERM USER EXPERIMENTS
Mika Rautiainen, Arto Heikkinen, Jouni Sarvanko, Vassilis Kostakos, Mika Ylianttila
... IEEE International Conference on Multimedia and Expo workshops. IEEE International Conference on Multimedia and Expo | IEEE | Published : 2013
Online TV services have facilitated time-shifted TV viewing. Accordingly, new service concepts are needed to improve access to relevant information in the broadcast TV content. In this paper we introduce a system that indexes TV broadcast in near real-time from seven free-to-air television channels. Our system uses machine learning and data mining techniques to extract descriptive novelty word summaries and picture highlights automatically from TV program subtitles and uses them to provide non-linear content-based access to relevant TV content fragments in novel end-user services and applications. First end-user service allows browsing of recent time shifted TV content using time and program..View full abstract
We would like to thank Academy of Finland for funding this research.