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This paper presents a new approach for hiding information in digital audio based on the audio-to-image wavelet transform (A2IWT) and vector quantization (VQ). In our scheme, the cover audio signal is first transformed into an image by utilizing the wavelet transform and re-sampling the coefficients, then the secret data are embedded in the obtained image using a VQ-based image steganographic scheme,...
Image semantic retrieval usually involves two steps, namely image annotation and annotation-based retrieval. Although there is a rich literature on image auto-annotation, little focuses on bridging the gap between annotation and retrieval. In fact, the efficiency of an image semantic retrieval system depends not only on the precision of annotation but also the way to use the annotation result in the...
This paper presents a speech information-hiding scheme that is integrated with the CELP (Coded Exited Linear Prediction) speech coding method. The G.729 codec (CS-ACELP) is used to test the efficiency of this scheme. The index-constrained method is applied for the secret information embedding. The selected bits of first-stage and residual vector indices during the Predictive Two-stage Vector Quantization...
In this paper, a novel robust audio watermarking algorithm based on discrete cosine transform (DCT) and vector quantization (VQ) is proposed. The original audio signal is first segmented into frames. The embedding process for each frame is as follows. First, the original frame is DCT transformed, and several middle-frequency coefficients are composed of a vector to be modified. Then the labeled-codeword...
In this paper, a novel robust audio watermarking algorithm is presented. It takes full advantage of the multi-resolution and the energy compression properties of the discrete wavelet transform (DWT) and discrete cosine transform (DCT) respectively, and embeds a pseudorandom permuted binary image in the original audio signal by vector quantization (VQ). The original audio is first transformed using...
The paper presents a novel, efficient, nearest-neighbor codeword search algorithm based on three elimination criteria in the Hadamard transform (HT) domain. Before the search process, all codewords in the codebook are Hadamard-transformed and sorted in the ascending order of their first elements. During the search process, we first perform the HT on the input vector and calculate its variance and...
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