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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korea Multimedia Society
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Korea Multimedia Society
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Volume & Issues
Volume 4, Issue 6 - Dec 2001
Volume 4, Issue 5 - Oct 2001
Volume 4, Issue 4 - Aug 2001
Volume 4, Issue 3 - Jun 2001
Volume 4, Issue 2 - Apr 2001
Volume 4, Issue 1 - Feb 2001
Selecting the target year
뉴미디어 환경과 방송 에니메이션
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 25~37
Color recovery of a chromatic digital image based on estimation of spectral distribution of illumination
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 97~107
In this paper, an illuminant estimation algorithm of a chromatic digital images proposed. The proposed illumination estimation method has two phases. First, the surface spectral reflectances are recovered. In this case, the surface spectral reflectances recovered are limited to the maximum highlight region (MHR) which is the most achromatic and highly bright region of an image after applying intermediate color constancy process using a modified gray world algorithm. Next, the surface reflectances of the maximum highlight region are estimated using the principal component analysis method along with a set of given Munsell samples. Second, the spectral distribution of reflected lights of MHR is selected from the spectral database. That is a color difference is compared between the reflected lights of the MHR and the spectral database that is the set of reflected lights built by the given Munsell samples and a set of illuminants. Then the closest colors from the spectral database are selected. Finally, the illuminant of an image can be calculated dividing the average spectral distributions of reflected lights of MHR by the average surface reflectances of the MHR. In order to evaluate the proposed algorithm, experiments with artificial and real captured color-biased scenes were performed and numerical comparison examined. The proposed method was effective in estimating the spectral of the given illuminant sunder various illuminants.
Segmentation of Immunohistochemical Breast Carcinoma Images Using ML Classification
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 108~115
In this paper we are attempted to quantitative classification of the three object color regions on a RGB image using of an improved ML(Maximum Likelihood) classification method. A RGB color image consists of three bands i.e., red, green and blue. Therefore it has a 3 dimensional structure in view of the spectral and spatial elements. The 3D structural yokels were projected in RGB cube wherefrom the ML method applied. Between the conventionally and easily usable Box classification and the statistical ML classification based on Bayesian decision theory, we compared and reviewed. Using the ML method we obtained a good segmentation result to classify positive cell nucleus, negative cell Nucleus and background un a immuno-histological breast carcinoma image. Hopefully it is available to diagnosis and prognosis for cancer patients.
Estimation of Halftone Cell Information by Analyzing Distribution of Halftone Dots and Refining Location of Their Spectral Peaks
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 116~129
To improve the performance of the inverse halftoning, smoothing masks should be designed optimally by using the accurate information of halftone cells. In this thesis, the method of energy minimization is so defined as to determine the exact information of halftone cell. A heuristic search method is proposed to obtain efficiently the parameters of halftone cells which determine the minimum energy. A halftone-peak modeling method with several functions is proposed and used to get initial values of the parameters. The dimension decomposition technique is also adopted to speed up the search process of energy minimization. Several experiments show that the proposed method extracts correct location of the seed pixel of the halftone cell and the extracted information of the halftone cell can be used to get more exactly smoothed color images. The proposed method can be applied to extract the texture patterns, to separate channel images of a scanned color halftone image, and to extract the moire area in an image.
Resource Allocation for Networked Virtual Reality Systems
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 130~135
When a networked virtual reality system handles composite media audio and video as well as three dimensional computer graphics, the quality of the virtual space is greatly affected by the current available network, and end system resources. Even if the network can preserve a certain amount of resources, the required resources change dynamically according to the user\`s navigation of a large virtual space, and then it may decrease the quality of the virtual space. In this paper, a method for resource allocation is proposed and the proposed system copes with the deterioration of quality of virtual spaces in case that the starvation of system resources occurs. The experimental results show that the proposed method is efficient.
New Construction Scheme for Improving Contrast in Visual Cryptography
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 136~144
visual cryptography is a simple method in which secret information can be directly decoded in human visual system without any cryptographic computations. This scheme is a kind of secret sharing scheme in which secret of image type is distributed to n random image(we call it share). When the secret image is distributed to n shares, the original pixel is expanded as much as the size of column in basis matrix. It causes the deterioration of contrast in docoded secret image. Therefore, many researches have performed to reduce the size of pixel expansion and to improve the contrast by overlapping the row in basis matrix for (k, n) visual cryptography. In addition, we show that the proposed method can construct the (k, n) visual cryptography with multiple contrasts depending on selecting k out of n slides in a group.
A Proposal of Secure and Efficient Dynamic Multicast Key Management Structure
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 145~160
With the rapid of computer applications and digital communication networks, group based applications on the open network have been common tendency. The multicast infrastructure has played an important researching part in this application area. However the conventional solutions to achieve the secure and efficient structure don't satisfy all requirements. In this study, we classified and analyzed several existing multicast key management structure on the safety, the efficiency and the strengthen. Based on the analysis, we developed a new secure and efficient multicast key management structure. By comparing various aspects, that the number of communication and computation, of the new and the conventional methods, we were able to demonstrate the effectiveness of the proposed method.
Design and Evaluation of a Hierarchical Distributed Dynamic Location Management Scheme for the IMT-2000
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 161~170
Mobility management technology is one among the most important issues in future mobile communication systems. The mobility management technology includes location management and handoff technologies. In this paper, we present a hierarchical distributed dynamic location management scheme that is compatible with the IMT-2000 environment. The proposed scheme composes a cluster with location registers, then makes up a hierarchical structures consisting of clusters. Each layer in the hierarchical structure uses different location management strategies cooperating another layers with each other. Also, the proposed scheme uses location update algorithm considering the frequency of location queries from nodes outside the local cells. We evaluate the performance of the proposed scheme through an analytical model.
Weighted Bayesian Automatic Document Categorization Based on Association Word Knowledge Base by Apriori Algorithm
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 171~181
The previous Bayesian document categorization method has problems that it requires a lot of time and effort in word clustering and it hardly reflects the semantic information between words. In this paper, we propose a weighted Bayesian document categorizing method based on association word knowledge base acquired by mining technique. The proposed method constructs weighted association word knowledge base using documents in training set. Then, classifier using Bayesian probability categorizes documents based on the constructed association word knowledge base. In order to evaluate performance of the proposed method, we compare our experimental results with those of weighted Bayesian document categorizing method using vocabulary dictionary by mutual information, weighted Bayesian document categorizing method, and simple Bayesian document categorizing method. The experimental result shows that weighted Bayesian categorizing method using association word knowledge base has improved performance 0.87% and 2.77% and 5.09% over weighted Bayesian categorizing method using vocabulary dictionary by mutual information and weighted Bayesian method and simple Bayesian method, respectively.
Pseudo-random bit sequence generator based on dynamical systems
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 182~188
In this paper, We proposed a pseudo-random bit sequence generator based on the concept of n-dimensional cellular automata which is a method of analyzing dynamical systems. The proposed generator is designed for using and disusing key. And the key size is variable from 128 bits to 256 bits. The generator was estimated to generate 380Mbits/sec under Pentium MMX 200MHz (64M RAM, Windows 98).
Fuzzy Inference Network and Search Strategy using Neural Logic Network
Journal of Korea Multimedia Society, volume 4, issue 2, 2001, Pages 189~196
Fuzzy logic ignores some information in the reasoning process. Neural networks are powerful tools for the pattern processing, but, not appropriate for the logical reasoning. To model human knowledge, besides pattern processing capability, the logical reasoning capability is equally important. Another new neural network called neural logic network is able to do the logical reasoning. Because the fuzzy inference is a fuzzy logical reasoning, we construct fuzzy inference network based on the neural logic network, extending the existing rule - inference network. and the traditional propagation rule is modified.