Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Automatic TV advertisement detection from MPEG bitstream

Sadlier, David A. and Marlow, Seán and O'Connor, Noel E. and Murphy, Noel (2002) Automatic TV advertisement detection from MPEG bitstream. Pattern Recognition, 35 (12). pp. 2719-2726. ISSN 0031-3203

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
127Kb

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 Físchlár (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.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:MPEG-1; Black/Silent Frames; DC coefficients; Subband scalefactors
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/S0031-3203(01)00251-5
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:385
Deposited On:01 Apr 2008 by DORAS Administrator. Last Modified 04 Feb 2009 13:54

Download statistics

Archive Staff Only: edit this record