Skip to main content
Article thumbnail
Location of Repository

M.: Advertisement detection and replacement using acoustic and visual repetition

By Michele Covell and Shumeet Baluja

Abstract

Abstract — In this paper, we propose a method for detecting and precisely segmenting repeated sections of broadcast streams. This method allows advertisements to be removed and replaced with new ads in redistributed television material. The detection stage starts from acoustic matches and validates the hypothesized matches using the visual channel. Finally, the precise segmentation uses fine-grain acoustic match profiles to determine start and end-points. The approach is both efficient and robust to broadcast noise and differences in broadcaster signals. Our final result is nearly perfect, with better than 99 % precision, at a recall rate of 95 % for repeated advertisements. I

Year: 2006
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.3886
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.esprockets.com/pape... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.