The block processing inherent in the use of traditional vector quantization (VQ) schemes typically gives rise to perceptually distracting blocking artifacts. We demonstrate that such artifacts can, in general, be virtually eliminated via an e cient lapped VQ strategy. With lapped VQ schemes, blocks are obtained from the source in an overlapped manner, and reconstructed via superposition of over...

The development of spoken term detection (STD) techniques, which detect a given word or phrase from spoken documents, is widely conducted in order to realize easy access to large amount of multimedia contents including speech This paper describes improvement of the STD method which is based on the vector quantization (VQ) and has been proposed in NTCIR-9 SpokenDoc. Spoken documents are represen...

This paper presents a new vector quantization (VQ) algorithm exploiting the features of tree-search as well as finite state VQ’s for imagdvideo coding. In the tree-search VQ, multiple candidates are identified for ongoing search to optimally determine an index of the minimum distortion. In addition, the desired codebook has been reorganized hierarchically to meet the concept of multipath search...

Modeling audio signals by the long-term statistical distribution of their local spectral features often denoted as bag of frames approach (BOF) is a popular and powerful method to describe audio content. While modeling the distribution of local spectral features by semi-parametric distributions (e.g. Gaussian Mixture Models) has been studied intensively, we investigate a non-parametric variant ...

Residual vector quantization (RVQ), tree-structured RVQ (TRVQ), and full-search tree-structured RVQ (FSTRVQ) are presented as techniques which exploit the benefit of vector quantization (VQ), while maintaining manageable memory and computational complexity. RVQ provides linear growth in memory and computational complexity with basic codebook size, compared to the exponential growth of full sear...

Self-Organizing Maps (SOMs, [1,2]) are well known in the domain of Vector Quantization (VQ). Unlike other VQ methods, the neurons (or prototypes) used for the quantization are given a position in a grid, which is often oneor two-dimensional. This predefined geometrical organization, combined with a well chosen learning rule, generates a self-organizing behavior, useful in numerous areas like no...

Speaker adaptation is important to reduce the variability of the speech signal from various speakers. Two approaches are introduced to solve this problem, Vector Quantization (VQ) and Canonical Correlation (CC). Their ability to enhance the discrimination of confused sounds are evaluated through a collected database of Arabic confusable sounds. A recognition accuracy of 73% is obtained without ...

In this paper, a novel greyscale image coding technique based on vector quantization (VQ) is proposed. In VQ, the recon− structed image quality is restricted by the codebook used in the image encoding/decoding procedures. To provide a better image quality using a fixed−sized codebook, the codebook expansion technique is introduced in the proposed technique. In addition, the block prediction tec...

In this paper, a method to reach multiresolution VQ is proposed. A reordering process of color vectors from the codebook is performed. This yields to obtain an index image very close to the initial luminance image that can be obtained from any color image, but at a lower resolution. That way, the VQ technique can be applied once again on this new index image. In other words, a hierarchical and ...