Paper Info
Title
Automatic TV Advertisement Detection from MPEG Bitstream
Abstract
The Centre for Digital Video Processing at Dublin City University conducts concentrated research and development in the area of digital video management. The current stage of development is demonstrated on our Web-based digital video system called Fı́schlár (Proceedings of the Content based Multimedia Information Access, RIAO 2000, Vol. 2, Paris, France, 12–14 April 2000, p. 1390), which provides for efficient recording, analysing, browsing and viewing of digitally captured television programmes. Advertisement breaks during or between television programmes are typically recognised by a series of ‘black’ video frames simultaneously accompanying a depression in audio volume which separate each advertisement from one another by recurrently occurring before and after each individual advertisement. It is the regular prevalence of these flags that enables automatic differentiation between what is programme and what is a commercial break. This paper reports on the progress made in the development of this idea into an advertisement detector system that automatically detects the commercial breaks from the bitstream of digitally captured television broadcasts.
Year
DOI
Venue
2001
10.1016/S0031-3203(01)00251-5
Pattern Recognition
Keywords
DocType
Volume
mpeg bitstream,subband scalefactors,dc coefficients,black/silent frames,mpeg-1,automatic tv advertisement detection,automatic differentiation
Conference
35
Issue
ISSN
ISBN
12
Pattern Recognition
972-98050-3-2
Citations 
PageRank 
References 
29
1.84
2
Authors
4
Name
Order
Citations
PageRank
David A. Sadlier1486.68
Seán Marlow2869.58
Noel E. O'Connor32137223.20
Noel Murphy417717.63