Extraction Method of Video Key Frame Based on Structural Similarity Clustering
In order to solve the problem of high redundancy in the extraction of video key frames by inter-frame difference method,an extraction method of video key frames based on structural similarity clustering is proposed.Firstly,the video content is roughly divided by the inter-frame difference method.Secondly,the result of the coarse division is used for clustering,and the structural similarity function(SSIM)is introduced to eliminate redundant frames to obtain the final key frame sequence.The experi-mental results show that compared with the traditional inter-frame difference method and color histogram method,the method in this paper can better extract key frames,and the average recall and precision rates are improved by 10.23%and 5.33%,respective-ly.
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