Considering recent rapid increase of users on video-sharing sites such as YouTube^<TM> and illegal upload of copyrighted video clips, automated method for detecting pirated video clips is required. For this purpose, we have already proposed robust content-based copy detection scheme based on multiple color layout descriptors. In this paper, we evaluate robustness of our scheme against some transformations, and investigate the influence of the number of nearest neighbors for voting.
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