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R. Lienhart and C. Kuhmuench and W. Effelsberg
ABSTRACT
TV commercials are interesting in many respects: advertisers and psycho logists are interested in their influence on human purchasing habits, while pare nts might be interest in shielding their children from their influence. In this paper, two methods for detecting and extracting commercials in digital videos ar e described. The first method is based on statistics of measurable features and enables the detection of commercial blocks within TV broadcasts. The second meth od performs detection and recognition of known commercials with high accuracy. F inally, we show how both approaches can be combined into a self-learning system. Our experimental results underline the practicality of the methods. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
On the detection and recognition of television commercialsSite generated on Friday, 06 January 2006