CADENCE DETECTION FOR INTERLACED VIDEO BASED ON TEMPORAL REGULARITY

摘要

A method is proposed for analyzing an interlaced video signal including a first sequence of fields. A temporal regularity estimation process is applied to the first sequence of fields to compute a first metric. Inputs of the temporal regularity estimation process include pixel values from at least two fields having respective ranks differing by more than one in the sequence. The same temporal regularity estimation process is applied to second and third sequences of fields to compute second and third metrics. The second sequence is derived from the first sequence by swapping fields having ranks of the form 2k and 2k+1 for any integer k, while the third sequence is derived from the first sequence by swapping fields having ranks of the form 2k−1 and 2k. The first, second and third metrics are compared in a determination of the time arrangement of the fields in the first sequence.