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Automated video detection is used as one of the methods and its performance is evaluated.
The method uses image acquisition sequences from video, detection of moving droplets, binarization of background subtracted images, and noise reduction from images.
We propose in this paper an architecture for near-duplicate video detection based on: (i) index and query signature based structures integrating temporal and perceptual visual features and (ii) a matching framework computing the logical inference between index and query documents.
The fourth category includes studies on the recaptured video detection.
This paper investigated a recaptured video detection method.
Nevertheless, little research on recaptured video detection has been undertaken.
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For all the videos, detections are rather small (from side 30 to 60 pixels) compared to the face recognition.
Experiments are performed on the applications of video concept detection, text classification, and email spam detection.
Video edge detection appears sufficiently sensitive to detect subtle changes in diastolic and systolic cardiac function during development and changes resulting from pharmacological and environmental interventions.
In video surveillance, detection of moving objects from a video is important for object detection and behaviour understanding.
Sony Ericsson Vivaz™ pro Camera 5.1 megapixel camera 4x digital zoom Auto focus (photos) Continuous auto focus (video) Face detection (photos) Geo tagging Image stabiliser Photo light Send to web Smile detection Touch capture Video light Video recording (720p HD recording).
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