earticle

영어

Video sequence matching is the most crucial step to verify whether a video sequence has been copied from another or not. The video sequence in question is represented by a set of visual descriptors. Based on such descriptors the sequence has to be matched with the sequences present in the database. Thus, sequence matching becomes a crucial task. Furthermore, to evade the verification process, one may incorporate visual distortions in the original sequence to generate the copied version. Again, the copied sequence may be generated by taking few sampled frames or a part of the original sequence. Thus, the task of sequence matching becomes more challenging. In this work, rather than concentrating on the visual descriptors, we have focused on the technique of sequence matching that can sustain the challenges posed. We have proposed a hypothesis test based scheme for sequence matching which has inherent strength to withstand the said attacks considerably. Experimental result also indicates its capability of the scheme in doing so.