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- W2390985792 abstract "Aiming at the time tampering problem in the single video shot,a new algorithm based on the content similarity is proposed to detect the tampers of frame duplication,deletion and insertion. Firstly,the three-scale visual contents are obtained by using the Gaussian pyramid transform on every frame. Then,the normalized mutual information is defined on the single scale visual content of adjacent frames based on information theory. And the descriptor of multiscale normalized mutual information is computed by linear combination. Thirdly,the abnormal degree of content similarity is computed by local outlier detection algorithm. Finally,the forgery places are detected by threshold. Experimental results show that the proposed algorithm can effectively localize the tamped position of the frame duplication,insertion,deletion tampers,and can be fit for the forgery of different coding formats and different cameras. The results also show that the proposed algorithm outperforms the existed algorithms in terms of precision and recall." @default.
- W2390985792 created "2016-06-24" @default.
- W2390985792 creator A5074703556 @default.
- W2390985792 date "2015-01-01" @default.
- W2390985792 modified "2023-09-27" @default.
- W2390985792 title "Detection of Frame Forgery in Digital Video Based on Multi-scale Mutual Information" @default.
- W2390985792 hasPublicationYear "2015" @default.
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