The spectral properties of Lyman break galaxies (LBGs) offer a means to isolate pure samples displaying either dominant Lyα in absorption or Lyα in emission using broadband information alone. We present criteria developed using a large z ∼ 3 LBG spectroscopic sample from the literature that enables large numbers of each spectral type to be gathered in photometric data, providing good statistics...

Conclu.sitm We proposed a simple dynamic index mapping which considerably reduces the index entropy by expoiting interhlock correlation. It was shown that it provides a considerable amount of hit-rate reduction not only in ordinary VQ but also in many hybrid VQ systems. Since the proposed index encoding scheme requires only a small amount of additional computation and does not change the quanti...

This study presents a new vector quantization method that generates codewords incrementally. New codewords are inserted in regions of the input vector space where the distortion error is highest until the desired number of codewords (or a distortion error threshold) is achieved. Adoption of the adaptive distance function greatly increases the proposed method's performance. During the incrementa...

-The paper presents a novel LBG algorithm for image compression in wavelet transform domain. The performance of the algorithm is evaluated by using standard 512×512 benchmark still images and the results compared to the traditional well-known JPEG standard. The important metric of time and Peak Signal to Noise Ratio are used to evaluate the novel algorithm. The results show that the strength of...

Location-Based Games (LBGs) have been gaining both academic and industrial interest in the past few years. Utilizing location information, LBGs enable users to extend their social game-play from cyberspace to the realworld. However, sharing personal information particularly the physical location of users is likely to raise privacy concerns resulting in eroding players’ social experience. To fur...

In this paper, a novel unsupervised competitive learning algorithm, called the centroid neural network adaptive resonance theory (CNN-ART) algorithm, is proposed to relieve the dependence on the initial codewords of the codebook in contrast to the conventional algorithms with vector quantization in lossy image compression. The design of the CNN-ART algorithm is mainly based on the adaptive reso...

Image-based modeling is very successful in the creation of realistic facial animations. Applications with dialog systems, such as eLearning and customer information service, can integrate facial animations with synthesized speech in websites to improve human-machine communication. However, downloading a database with 11,594 mouth images (about 120MB in JPEG format) used by talking head needs ab...

In this paper we present a very simple and yet effective algorithm to generate good codebook. In general VQ codebook generation algorithm focus on solving two problem(i)To reduce the computational complexity of code words search the building the codebook. (ii) Extra Computational overhead to calculate the measurement of codeword in codebooks..in this paper, a novel VQ codebook generation method...