Abstract
Videos recorded by the audience in a concert provide natural and lively views from different angles. However, such recordings are generally incomplete and suffer from low signal quality due to poor lighting conditions and use of hand-held cameras. It is our objective to create an enriched video stream by combining high-quality segments from multiple recordings, called mashup. In this paper, we describe techniques for quality measurements of video, such as blockiness, blurriness, shakiness and brightness. These measured values are merged into an overall quality metric that is applied to select high-quality segments in generating mashups. We compare our mashups, generated using the quality metric for segment selection, with manually and randomly created mashups. The results of a subjective evaluation show that the perceived qualities of our mashups and the manual mashups are comparable, while they are both significantly higher than the random mashups.
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Shrestha, P., Weda, H., Barbieri, M., de With, P.H.N. (2010). Video Quality Analysis for Concert Video Mashup Generation. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17691-3_1
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DOI: https://doi.org/10.1007/978-3-642-17691-3_1
Publisher Name: Springer, Berlin, Heidelberg
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