Abstract
With a rapidly dropping price in hand-held cameras and video editing software, user-generated contents are popular these days, especially on online video sharing websites. To facilitate efficient management of large video collections, it is essential to be able to separate amateur video contents from professional ones automatically. In this work, we propose several features that take into account the camera operation and the nature of amateur video clips to achieve this goal. In the proposed scheme, we estimate the number of different cameras being used in a short time interval, the shakiness of the camera, and the distance between the camera and the subject. Experimental results on a test video data set demonstrate that the camera usage can be inferred from the proposed features and reliable separation of professional and amateur video contents can be achieved.
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Wu, PH., Thaipanich, T., Purushotham, S., Kuo, C.C.J. (2009). Separation of Professional and Amateur Video in Large Video Collections. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_2
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DOI: https://doi.org/10.1007/978-3-642-10467-1_2
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