Abstract
Near-duplicate keyframes detection was an important part in content-based broadcast video search.After the definition of the acoustic change detection in audio segmentation was introduced,a new method based on Bayesian Information Criterion(BIC) algorithm was proposed for detecting near-duplicate keyframes,which result from the feature of salient parts extracted from a frame.Experimental results show that this method without threshold and learning has good performance in recall and precision.
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