Abstract
video copy detection is intended for verifying whether a video sequence is copied from another or not. Such techniques can be used for protecting the copyright. A content-based video detection system extracts signature of the video from its visual constituents. Signature of the test sequence is matched against the same of the sequences in the database. Deciding whether two sequences are similar enough even with the presence of distortion is a big challenge. In this work, we have focused on sequence matching. We have proposed a hypothesis test based scheme for comparing the similarity of two sequences. Experiments have been carried out to verify the capability of the concept and result seems satisfactory.
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Dutta, D., Saha, S.K., Chanda, B. (2010). Video Copy Detection: Sequence Matching Using Hypothesis Test. In: Kim, Th., Adeli, H. (eds) Advances in Computer Science and Information Technology. AST ACN 2010 2010. Lecture Notes in Computer Science, vol 6059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13577-4_45
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DOI: https://doi.org/10.1007/978-3-642-13577-4_45
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