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Semantic gap that between the visual features and human semantics has become a bottleneck of content-based image retrieval. The need for improving the retrieval accuracy of image retrieval systems and narrowing down the semantic gap is high in view of the fast growing need of image retrieval. In this paper, we first introduce the image semantic description methods, then we discuss the main technologies...
Valuable information can be hidden in images. The need for image mining is high in view of the fast growing amounts of image data. In this paper, we first point out unique characteristics of image mining, then analyze the overall process and discuss the main technology of image mining, namely, image classification and clustering, association rule mining. Some applications in various areas are introduced...
The sparsity and the problem of the curse of dimensionality of high-dimensional data, which make the most of the traditional clustering algorithm, lose action in high-dimensional space. Therefore, clustering of data in high-dimensional space is becoming the hot research areas. By utilizing the subtractive clustering as initialized method, and combine with the revised clustering validation indices,...
Internet wide spreads in our daily life, copyright protection of audio frequency becomes to a hotspot. In this paper, a novel algorithm for digital audio watermarking based on the discrete wavelet transform is proposed. In the condition of quantization, the watermark was embedded and extracted based on the contextual border upon low-frequency coefficients which was sorted. The experimental results...
Based on matrix transformation, an asymmetric image watermarking scheme is presented in this paper. First, a pair of keys is given by using matrix transformation; second, the image is watermarked in its transformation domain, and third, our analysis shows that this simple scheme provides security from any attempts to erase the watermarked signal in watermark detection; and finally, the relation between...
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