Abstract
Perceptual hashing is a technique for content identification and authentication. In this work, a frame hash based video hash construction framework is proposed. This approach reduces a video hash design to an image hash design, so that the performance of the video hash can be estimated without heavy simulation. Target performance can be achieved by tuning the construction parameters. A frame hash algorithm and two performance metrics are proposed.
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Weng, L., Preneel, B. (2010). From Image Hashing to Video Hashing. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_66
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DOI: https://doi.org/10.1007/978-3-642-11301-7_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11300-0
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