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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 13, Issue 12 - Dec 2010
Volume 13, Issue 11 - Nov 2010
Volume 13, Issue 10 - Oct 2010
Volume 13, Issue 9 - Sep 2010
Volume 13, Issue 8 - Aug 2010
Volume 13, Issue 7 - Jul 2010
Volume 13, Issue 6 - Jun 2010
Volume 13, Issue 5 - May 2010
Volume 13, Issue 4 - Apr 2010
Volume 13, Issue 3 - Mar 2010
Volume 13, Issue 2 - Feb 2010
Volume 13, Issue 1 - Jan 2010
Selecting the target year
A Real-time Adaptive Scheduling Protocol for MPEG-4 Video Stream Transmission in Mobile Environment
Kim, Jin-Hwan ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 349~358
Adaptability is an important issue in video streaming over mobile environments, since the clients may request videos with great differences in their workload. In this paper, we propose the issues in limited bandwidth scheduling for efficient MPEG-4 video stream transmission over a mobile or wireless network. In the phase of admission control, the amount of bandwidth allocated to serve a video request is the mean bandwidth requirement of its requested video. The dynamic allocation of bandwidth in the phase of scheduling depends on the playback buffer levels of the clients with an objective to make it more adaptive to the playback situation of individual clients. In the proposed RTA scheduling protocol, more bandwidth may be allocated temporarily to the client whose buffer level is low. By employing the buffer level based scheduling policy, this protocol attempts to maximize the real-time performance of individual playback while minimizing the impact of transient overloading. Extensive simulation experiments have been performed to investigate the performance characteristics of the RTA protocol as comparing with BSBA protocol. This RTA protocol shows the better performance by transferring more frames than BSBA protocol.Computer simulations reveals that the standard deviation of the bit rate error of the proposed scheme is 50% less than that of the conventional method.
An SVG Code Generator for Algorithm Visualization
Lee, Hyang-Sug ; Lee, Su-Hyun ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 359~368
Algorithm visualization is useful for program testing, debugging and evaluating, as well as visual aids in education. When teaching algorithms and data structures, showing exact behaviors by graphics or animation is more suitable than just explaining them. Current systems for algorithm animation are limited to a couple of specific applications and need a special environment. In the proposed system, programmer writes source program in C and animator embeds visualization scripts in the appropriate location of the program. Then user can get an animation code in form of SVG and see a graphical representation on the web browser. Generated SVG animation code is platform independent and can also interact with other XML applications or HTML.
Efficient context dependent process modeling using state tying and decision tree-based method
Ahn, Chan-Shik ; Oh, Sang-Yeob ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 369~377
In vocabulary recognition systems based on HMM(Hidden Markov Model)s, training process unseen model bring on show a low recognition rate. If recognition vocabulary modify and make an addition then recreated modeling of executed database collected and training sequence on account of bring on additional expenses and take more time. This study suggest efficient context dependent process modeling method using decision tree-based state tying. On study suggest method is reduce recreated of model and it's offered that robustness and accuracy of context dependent acoustic modeling. Also reduce amount of model and offered training process unseen model as concerns context dependent a likely phoneme model has been used unseen model solve the matter. System performance as a result of represent vocabulary dependence recognition rate of 98.01%, vocabulary independence recognition rate of 97.38%.
A Study for Individual Identification by Discriminating the Finger Face Image
Kim, Hee-Sung ; Bae, Byung-Kyu ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 378~391
In this paper, it is tested that an individual is able to be identified with finger face images and the results are presented. Special operators, FFG(Facet Function Gradient) masks by which the gradient of a facet function fit on a gray levels of image patches can be computed are used and a new procedure named F-algorithm is introduced to match the finger face images. The finger face image is divided into the equal subregions and each subregions are divided into equal patches with this algorithm. The FFG masks are used for convolution operation over each patch to produce scalar values. These values from a feature matrix, and the identity of fingers is determined by a norm of the elements of the feature matrices. The distribution of the norms shows conspicuous differences between the pairs of hand images of the same persons and the pairs of the different persons. This is a result to prove the ability of discrimination with the finger face image. An identification rate of 95.0% is obtained as a result of the test in which 500 hand images taken from 100 persons are processed through F-algorithm. It is affirmed that the finger face reveals to be such a good biometrics as other hand parts owing to the ability of discrimination and the identification rate.
Automated Visual Inspection System of Junction Box using Color Inspection and Template Matching
Park, Byung-Joon ; Hahn, Kwang-Soo ; Lee, Ho-Jun ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 392~399
The Automobile has developed and changed through the years from the invention and increased human-being's scope of activity. Junction Box, one of the part of automobile, is inspected by human eyes which caused mistakes and slow progress. To achieve the speed and accuracy the system was compensated by vision system which is inspecting automatically. This paper is automatic inspection of fuse and relay which is inserted in the junction box by checking the color and pattern of the cover. After checking the performance of the system by using the junction box, the result was 100 percent perception and open the possibility to inspect junction box fast and easy and accurate if it is applied to the industry.
Wafer Position Recognition System of Cleaning Equipment
Lee, Jung-Woo ; Lee, Byung-Gook ; Lee, Joon-Jae ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 400~409
This paper presents a position error recognition system when the wafer is mounted in cleaning equipment among the wafer manufacturing processes. The proposed system is to enhance the performance in cost and reliability by preventing the wafer cleaning system from damaging by alerting it when it is put in correct position. The key algorithms are the calibration method between image acquired from camera and physical wafer, a infrared lighting and the design of the filter, and the extraction of wafer boundary and the position error recognition resulting from generation of circle based on least square method. The system is to install in-line process using high reliable and high accurate position recognition. The experimental results show that the performance is good in detecting errors within tolerance.
An Automatic Mapping Points Extraction Algorithm for Calibration of the Wide Angle Camera
Kim, Byung-Ik ; Kim, Dae-Hyeon ; Bae, Tae-Wuk ; Kim, Young-Choon ; Shim, Tae-Eun ; Kim, Duk-Gyoo ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 410~416
This paper presents the auto-extraction method that searches for the Mapping points in the calibration algorithm of the image acquired by the wide angle CCD camera. In this algorithm, we remove the noise from the distorted image and then obtain the edge image. Proposed method extracts the distortion point, comparing the threshold value of the histogram of the horizontal and vertical pixel lines in edge image. This processing step can be directly applied to the original image of the wide angle CCD camera output. Proposed method results are compared with hand-worked result image using the two wide angle CCD cameras having different angles with the difference value of the result images respectively. Experimental results show that proposed method can allocate the distortion-calibration constant of the wide angle CCD camera regardless of lens type, distortion shape and image type.
A Fast Background Subtraction Method Robust to High Traffic and Rapid Illumination Changes
Lee, Gwang-Gook ; Kim, Jae-Jun ; Kim, Whoi-Yul ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 417~429
Though background subtraction has been widely studied for last decades, it is still a poorly solved problem especially when it meets real environments. In this paper, we first address some common problems for background subtraction that occur in real environments and then those problems are resolved by improving an existing GMM-based background modeling method. First, to achieve low computations, fixed point operations are used. Because background model usually does not require high precision of variables, we can reduce the computation time while maintaining its accuracy by adopting fixed point operations rather than floating point operations. Secondly, to avoid erroneous backgrounds that are induced by high pedestrian traffic, static levels of pixels are examined using shot-time statistics of pixel history. By using a lower learning rate for non-static pixels, we can preserve valid backgrounds even for busy scenes where foregrounds dominate. Finally, to adapt rapid illumination changes, we estimated the intensity change between two consecutive frames as a linear transform and compensated learned background models according to the estimated transform. By applying the fixed point operation to existing GMM-based method, it was able to reduce the computation time to about 30% of the original processing time. Also, experiments on a real video with high pedestrian traffic showed that our proposed method improves the previous background modeling methods by 20% in detection rate and 5~10% in false alarm rate.
Auto-Segmentation Algorithm For Liver-Vessel From Abdominal MDCT Image
Park, Seong-Me ; Lee, You-Jin ; Park, Jong-Won ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 430~437
It is essential for living donor liver transplantation that surgeon must understand the hepatic vessel structure to improve the success rate of operation. In this paper, we extract the liver boundary without other surrounding structures such as heart, stomach, and spleen using the contrast enhanced MDCT liver image sequence. After that, we extract the major hepatic veins (left, middle, right hepatic vein) with morphological filter after review the basic structure of hepatic vessel which reside in segmented liver image region. The purpose of this study is provide the overall status of transplantation operation with size estimation of resection part which is dissected along with the middle hepatic vein. The method of liver extraction is as follows: firstly, we get rid of background and muscle layer with gray level distribution ratio from sampling process. secondly, the coincident images match with unit mesh image are unified with resulted image using the corse coordinate of liver and body. thirdly, we extract the final liver image after expanding and region filling. Using the segmented liver images, we extract the hepatic vessels with morphological filter and reversed the major hepatic vessels only with a results of ascending order of vessel size. The 3D reconstructed views of hepatic vessel are generated after applying the interpolation to provide the smooth view. These 3D view are used to estimate the dissection line after identify the middle hepatic vein. Finally, the volume of resection region is calculated and we can identify the possibility of successful transplantation operation.
A Study on the Restoration of a Low-Resoltuion Iris Image into a High-Resolution One Based on Multiple Multi-Layered Perceptrons
Shin, Kwang-Yong ; Kang, Byung-Jun ; Park, Kang-Ryoung ; Shin, Jae-Ho ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 438~456
Iris recognition uses a unique iris pattern of user to identify person. In order to enhance the performance of iris recognition, it is reported that the diameter of iris region should be greater than 200 pixels in the captured iris image. So, the previous iris system used zoom lens camera, which can increase the size and cost of system. To overcome these problems, we propose a new method of enhancing the accuracy of iris recognition on low-resolution iris images which are captured without a zoom lens. This research is novel in the following two ways compared to previous works. First, this research is the first one to analyze the performance degradation of iris recognition according to the decrease of the image resolution by excluding other factors such as image blurring and the occlusion of eyelid and eyelash. Second, in order to restore a high-resolution iris image from single low-resolution one, we propose a new method based on multiple multi-layered perceptrons (MLPs) which are trained according to the edge direction of iris patterns. From that, the accuracy of iris recognition with the restored images was much enhanced. Experimental results showed that when the iris images down-sampled by 6% compared to the original image were restored into the high resolution ones by using the proposed method, the EER of iris recognition was reduced as much as 0.133% (1.485% - 1.352%) in comparison with that by using bi-linear interpolation
Analysis on Digital Image Composite Using Interpolation
Song, Geun-Sil ; Yun, Yong-In ; Lee, Won-Hyung ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 457~466
In this paper, we propose a new method for detecting digital forgery that identify interpolated region between digital composited images. For detecting the interpolation factor and the tampered regions, we perform two algorithms: The first algorithm is to estimate the interpolation factors using the differential equation for forgery image along the horizontal, vertical, and diagonal directions, respectively; The second algorithm is to scan the interpolation factors along each direction for detection areas as the mask of the optical window size(
) in order to find out the forgery region. A detection map of the forgery is classified with the magnitude of estimated interpolation factors into colors. This detection map can be used to find out interpolated regions from the tampered image. Experimental results demonstrate the proposed algorithms are proven on several examples. We also show the proposed approach is to accurately detect interpolated regions from digital composite images.
An Implementation of Automatic Upper-Lower Clothes Matching System Using Machine Learning
Kim, Jung-In ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 467~474
The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.
Improvement of UCI Metadata and Resolution Service for Massive Contents Recommendation
Na, Moon-Sung ; Lee, Jae-Dong ;
Journal of Korea Multimedia Society, volume 13, issue 3, 2010, Pages 475~486
Contents Recommender System predicts user's preferences towards contents, and then recommends highly-predicted contents to user. Digital Identifier plays its part in identifying abstract works or digital contents in digital network environment. Digital Identifier could be effectively used in content-based filtering and collaborative filtering that are mainly used in Contents Recommender Systems. Therefore, this paper proposes an improvement of UCI metadata and resolution service for effective use of UCI in massive contents recommender systems. UCI metadata is expanded by adding elements such as abstract, keyword, genre, age, rate and review. Resolution service allows the operation systems to collect user preference for content by including input part of preference in a result page. This paper also designs and implements an improved UCI operation system and shows that the proposed improvement of UCI metadata and resolution service could be used for massive contents recommendation.