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Although numerous steganalyzers for least significant bit (LSB) matching have been presented, the detection for uncompressed images and low embedding rates remains challenge for steganalysts. In this paper, we propose a novel method for detection of LSB matching steganography, which is based on the features extracted from a conditional probability matrix described by Markov Mesh Models (MMMs). The...
A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in...
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