Steganography is the art and science of embedding secret data in another medium to prevent the leakage of secret information. A VQ-based (vector quantization) steganographic method usually involves changes of the block values in the VQ images, which might cause serious distortion. As a result, many existing methods use closest pairs or clustering techniques to preserve an acceptable image quali...

Generally, Embedding of needful information in a host signal without any loss of host information is required for copyrights protection. Customer identification can be embedded directly into multimedia files, this guide to a number of definite requirements with respect to robustness, simplicity and complexity. In early stages, data hiding can be processed based on vector quantization (VQ) compr...

In this paper, we consider minimization problems with a quasiconvex vector-valued inequality constraint. We propose two constraint qualifications, the closed cone constraint qualification for vector-valued quasiconvex programming (the VQ-CCCQ) and the basic constraint qualification for vector-valued quasiconvex programming (the VQ-BCQ). Based on previous results by Benoist, Borwein, and Popovic...

The paper presents an improved Vector Quantization (VQ) approach for discrete Hidden Markov Models (HMMs). This improved VQ approach performs an optimal distribution of VQ codebook components on HMM states. This technique, that we named the Distributed Vector Quantization (DVQ) of hidden Markov models, succeeds in unifying acoustic microstructure and phonetic macro-structure when the estimation...

This paper introduces an extension of entropy constrained residual vector quantization (VQ) where intervector dependencies are exploited. The method, which we call conditional entropy-constrained residual VQ, employs a high-order entropy conditioning strategy that captures local information in the neighboring vectors. When applied to coding images, the proposed method is shown to achieve better...

In this work we propose two novel vector quantization (VQ) designs for discrete HMM-based on-line handwriting recognition of whiteboard notes. Both VQ designs represent the binary pressure information without any loss. The new designs are necessary because standard kmeans VQ systems cannot quantize this binary feature adequately, as is shown in this paper. Our experiments show that the new syst...

With the growing interest in copyright protection of multimedia, digital watermarking has been presented and widely researched. The digital image watermarking techniques are usually performed in spatial or transform domain. Most of transformdomain watermarking methods are based on Discrete Cosine Transforms (DCT) and robust to JPEG lossy compression. Recently, digital image watermarking based o...

During transmission of digital images, secret messages can be embedded using data hiding techniques. Such techniques transfer private secrets without drawing the attention eavesdroppers. To reduce amount transmitted data, image compression methods are widely applied. Hiding in compressed images is a hot issue recently. In this paper, we apply de-clustering concept and indicator-free search-orde...

We present a new mixed method of LDA-VQ to predict Korean prosodic break index(PBI) for a given utterance. PBI can be used as an important cue of syntactic discontinuity in continuous speech recognition(CSR). Our proposed method, LDA-VQ model, consists of three steps. At the first step, PBI was predicted with the information of syllable and pause duration through the linear discriminant analysi...