| Conference |
| Type of Publication |
| On the Detection and Recognition of Television
Commercials |
| Title |
|
|
| Authors |
| Proc. IEEE Conf. on Multimedia Computing and
Systems, pp.
509 - 516, Ottawa, Canada, 1996 |
| Published in |
| TV commercials are interesting in many
respects: advertisers and psychologists are interested in their
influence on human purchasing habits, while parents might be
interest in shielding their children from their influence. In
this paper, two methods for detecting and extracting commercials
in digital videos are described. The first method is based on
statistics of measurable features and enables the detection of
commercial blocks within TV broad-casts. The second method
performs detection and recognition of known commercials with high
accuracy. Finally, we show how both approaches can be combined
into a self-learning system. Our experimental results underline
the practicality of the methods. |
| Abstract |
|
| Projects |
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