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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schlosser, M.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Deutsche Thomson OHG, Hannover (Schlosser, M.S.) |
| Abstract | An acoustic detector for film slates is proposed to assist a human operator with the synchronization of audio and video in post-production. To be computationally efficient, the signal analysis is restricted to time-domain features. Although the features are statistically dependent, separate classifiers are trained for each of them. The statistical dependence is taken into account during the combination of the log-likelihood ratios provided by the individual classifiers. The overall confidence in a classification is determined as a weighted sum of the individual log-likelihood ratios, where the weights depend on the correlation between the different features. Experimental results for real-world recordings from film sets show that the confidence measures allow for a fast identification of the film slates while minimizing the interference from false detections. |
| Starting Page | 137 |
| Ending Page | 140 |
| File Size | 111155 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414833 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2008.4517565 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Acoustic measurements Acoustic signal detection Time domain analysis Acoustic noise Feature extraction Detectors Cameras Filters Humans Optical films feature extraction reliability estimation time domain analysis |
| Content Type | Text |
| Resource Type | Article |
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