Abstract
This paper introduces an algorithm to detect cuts in a video sequence. The algorithm is based on volumetric processing of the video sequence, and uses techniques from differential geometry to classify the cut frames. The algorithm is very robust with respect to the presence of noise, and avoids the detection of “false cuts” in a video shot. We also describe an implementation of the algorithm that computes the video cut segmentation in real time.
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José da Silva, R., Gomes, J., Velho, L. (2000). Segmentation of Video Sequences using Volumetric Image Processing. In: Correia, N., Chambel, T., Davenport, G. (eds) Multimedia ’99. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6771-7_3
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DOI: https://doi.org/10.1007/978-3-7091-6771-7_3
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83437-4
Online ISBN: 978-3-7091-6771-7
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