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International Journal of Digital Multimedia Broadcasting
Volume 2010, Article ID 153160, 16 pages
http://dx.doi.org/10.1155/2010/153160
Research Article

Automatic TV Broadcast Structuring

Orange Labs, France Telecom, Cesson Sévigné 35510, France

Received 2 October 2009; Accepted 11 January 2010

Academic Editor: Jungong Han

Copyright © 2010 Gaël Manson and Sid-Ahmed Berrani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

TV broadcast structuring is needed to precisely extract long useful programs. These can be either archived as part of our audio-visual heritage or used to build added-value novel TV services like TVoD or Catch-up-TV. First, the problem of digital TV content structuring is positioned. Related work and existing solutions are deeply and carefully analyzed. This paper presents then DealTV, our fully automatic system. It is based on studying repeated sequences in the TV stream in order to segment it. Segments are then classified using an inductive logic programming-based technique that makes use of the temporal relationships between segments. Metadata are finally used to label and extract programs using simple overlapping-based criteria. Each processing step of DealTV has been separately evaluated in order to carefully analyze its impact on the final results. The system has been proven on a real TV stream to be very effective.