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I used only the sample videos on the DogTV site, which come in three variations: "Relaxation," "Stimulation" and "Exposure".
However, since our video feedback was at 85 Hz, we stored and analyzed at this frequency, using the samples that were used for video updating.
First, we propose an object detection model to simultaneously reconstruct the foreground, background, and video sequence using the sampled measurement.
In order to achieve robust foreground reconstruction result using only a small number of sampled measurements, we have first proposed an object detection model to simultaneously reconstruct the foreground, background, and the original video sequence using the sampled measurements.
To evaluate the impact of sensing activity (and thus additional delay) to multimedia application, simulations were carried out using the 'Foreman' video sample and each user is allocated 14 sec to perform local energy sensing.
The video mode of these samples was synthesized using the "best video quality" settings and the LIPS2008 speech database from which the particular sentence was excluded.
All video files were created using the AVI video format.
Behaviour was analysed using the video material.
Experiments are conducted using the leave-one-video-out cross-validation scheme, which involves training the classifier with samples from all but one video and testing its performance on the left-out video (test set).
This study used the actual laryngeal video stroboscope videos taken by physicians in clinical practice as the samples for experimental analysis.
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