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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 15, Issue 12 - Dec 2012
Volume 15, Issue 11 - Nov 2012
Volume 15, Issue 10 - Oct 2012
Volume 15, Issue 9 - Sep 2012
Volume 15, Issue 8 - Aug 2012
Volume 15, Issue 7 - Jul 2012
Volume 15, Issue 6 - Jun 2012
Volume 15, Issue 5 - May 2012
Volume 15, Issue 4 - Apr 2012
Volume 15, Issue 3 - Mar 2012
Volume 15, Issue 2 - Feb 2012
Volume 15, Issue 1 - Jan 2012
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New Framework for Automated Extraction of Key Frames from Compressed Video
Kim, Kang-Wook ; Kwon, Seong-Geun ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 693~700
DOI : 10.9717/kmms.2012.15.6.693
The effective extraction of key frames from a video stream is an essential task for summarizing and representing the content of a video. Accordingly, this paper proposes a new and fast method for extracting key frames from a compressed video. In the proposed approach, after the entire video sequence has been segmented into elementary content units, called shots, key frame extraction is performed by first assigning the number of key frames to each shot, and then distributing the key frames over the shot using a probabilistic approach to locate the optimal position of the key frames. The main advantage of the proposed method is that no time-consuming computations are needed for distributing the key frames within the shots and the procedure for key frame extraction is completely automatic. Furthermore, the set of key frames is independent of any subjective thresholds or manually set parameters.
Pattern Classification of Retinitis Pigmentosa Data for Prediction of Prognosis
Kim, Hyun-Mi ; Woo, Yong-Tae ; Jung, Sung-Hwan ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 701~710
DOI : 10.9717/kmms.2012.15.6.701
Retinitis Pigmentosa(RP) is a common hereditary disease. While they have been normally living, those who have this symptom feel frustration and pain by the damage of visual acuity. At the national level, the loss of the economic activity due to the reduction of economically active population will be also greater. There is an urgent need for the base study that can provide the clinical prognosis information of RP disease. In this study, we suggest that it is possible to predict prognosis through the pattern classification of RP data. Statistical processing results through statistical software like SPSS(Statistical Package for the Social Service) were mainly applied for the conventional study in data analysis. However, machine learning and automatic pattern classification was applied to this study. SVM(Support Vector Machine) and other various pattern classifiers were used for it. The proposed method confirmed the possibility of prognostic prediction based on the result of automatically classified RP data by SVM classifier.
Comparison of LoG and DoG for 3D reconstruction in haptic systems
Sung, Mee-Young ; Kim, Ki-Kwon ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 711~721
DOI : 10.9717/kmms.2012.15.6.711
The objective of this study is to propose an efficient 3D reconstruction method for developing a stereo-vision-based haptics system which can replace "robotic eyes" and "robotic touch." The haptic rendering for 3D images requires to capture depth information and edge information of stereo images. This paper proposes the 3D reconstruction methods using LoG(Laplacian of Gaussian) algorithm and DoG(Difference of Gaussian) algorithm for edge detection in addition to the basic 3D depth extraction method for better haptic rendering. Also, some experiments are performed for evaluating the CPU time and the error rates of those methods. The experimental results lead us to conclude that the DoG method is more efficient for haptic rendering. This paper may contribute to investigate the effective methods for 3D image reconstruction such as in improving the performance of mobile patrol robots.
Comparative Performance Evaluations of Eye Detection algorithm
Gwon, Su-Yeong ; Cho, Chul-Woo ; Lee, Won-Oh ; Lee, Hyeon-Chang ; Park, Kang-Ryoung ; Lee, Hee-Kyung ; Cha, Ji-Hun ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 722~730
DOI : 10.9717/kmms.2012.15.6.722
Recently, eye image information has been widely used for iris recognition or gaze detection in biometrics or human computer interaction. According as long distance camera-based system is increasing for user`s convenience, the noises such as eyebrow, forehead and skin areas which can degrade the accuracy of eye detection are included in the captured image. And fast processing speed is also required in this system in addition to the high accuracy of eye detection. So, we compared the most widely used algorithms for eye detection such as AdaBoost eye detection algorithm, adaptive template matching+AdaBoost algorithm, CAMShift+AdaBoost algorithm and rapid eye detection method. And these methods were compared with images including light changes, naive eye and the cases wearing contact lens or eyeglasses in terms of accuracy and processing speed.
Improved Extraction of Representative Motion Vector Using Background Information in Digital Cinema Environment
Park, Il-Cheol ; Kwon, Goo-Rak ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 731~736
DOI : 10.9717/kmms.2012.15.6.731
Latest digital cinema is getting more interest on recent days. The combination of visually immersive 3D movie with chair movements and other physical effects has added more enjoyment. The movement of the chair is controlled manually in these digital cinemas. By the analysis of the digital cinema`s video sequences, movement of the chair can be controlled automatically. In the proposed method first of all the motion of focused object and the background is identified and then the motion vector information is extracted by using the 9-search range. The motion vector is determined only for the movement of background while the object is stationary. The extracted Motion information from the digital cinemas is used for the movement control of the chair. The experimental results show that the proposed method outperforms the existing methods in terms of accuracy.
An Efficient Numeric Character Segmentation of Metering Devices for Remote Automatic Meter Reading
Toan, Vo Van ; Chung, Sun-Tae ; Cho, Seong-Won ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 737~747
DOI : 10.9717/kmms.2012.15.6.737
Recently, in order to support automatic meter reading for conventional metering devices, an image processing-based approach of recognizing the number meter data in the captured meter images has attracted many researchers` interests. Numerical character segmentation is a very critical process for successful recognition. In this paper, we propose an efficient numeric character segmentation method which can segment numeric characters well for any metering device types under diverse illumination environments. The proposed method consists of two consecutive stages; detection of number area containing all numbers as a tight ROI(Region of Interest) and segmentation of numerical characters in the ROI. Detection of tight ROI is achieved in two steps: extraction of rough ROI by utilizing horizontal line segments after illumination enhancement preprocessing, and making the rough ROI more tight through clipping utilizing vertical and horizontal projection about binarized ROI. Numerical character segmentation in the detected ROI is stably achieved in two processes of `vertical segmentation of each number region` and `number segmentation in the each vertical segmented number region`. Through the experiments about a homegrown meter image database containing various meter type images of low contrast, low intensity, shadow, and saturation, it is shown that the proposed numeric character segmentation method performs effectively well for any metering device types under diverse illumination environments.
Image Histogram Equalization Based on Gaussian Mixture Model
Jun, Mi-Jin ; Lee, Joon-Jae ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 748~760
DOI : 10.9717/kmms.2012.15.6.748
In case brightness distribution is concentrated in a region, it is difficult to classify the image features. To solve this problem, we apply global histogram equalization and local histogram equalization to images. In case of global histogram equalization, it can be too bright or dark because it doesn`t consider the density of brightness distribution. Thus, it is difficult to enhance the local contrast in the images. In case of local histogram equalization, it can produce unexpected blocks in the images. In order to enhance the contrast in the images, this paper proposes a local histogram equalization based on the Gaussian Mixture Models(GMMs) in regions of histogram. Mean and variance parameters in each regions is updated EM-algorithm repeatedly and then ranges of equalization on each regions. The experimental results performed with image of various contrasts show that the proposed algorithm is better than the global histogram equalization.
A Setting of Initial Cluster Centers and Color Image Segmentation Using Superpixels and Fuzzy C-means(FCM) Algorithm
Lee, Jeong-Hwan ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 761~769
DOI : 10.9717/kmms.2012.15.6.761
In this paper, a setting method of initial cluster centers and color image segmentation using superpixels and Fuzzy C-means(FCM) algorithm is proposed. Generally, the FCM can be widely used to segment color images, and an element is assigned to any cluster with each membership values in the FCM. However the algorithm has a problem of local convergence by determining the initial cluster centers. So the selection of initial cluster centers is very important, we proposed an effective method to determine the initial cluster centers using superpixels. The superpixels can be obtained by grouping of some pixels having similar characteristics from original image, and it is projected
feature space to obtain the initial cluster centers. The proposed method can be speeded up because number of superpixels are extremely smaller than pixels of original image. To evaluate the proposed method, several color images are used for computer simulation, and we know that the proposed method is superior to the conventional algorithm by the experimental results.
Projective Reconstruction from Multiple Images using Matrix Decomposition Constraints
Ahn, Ho-Young ; Park, Jong-Seung ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 770~783
DOI : 10.9717/kmms.2012.15.6.770
In this paper, we propose a novel structure recovery algorithm in the projective space using image feature points. We use normalized image feature coordinates for the numerical stability. To acquire an initial value of the structure and motion, we decompose the scaled measurement matrix using the singular value decomposition. When recovering structure and motion in projective space, we introduce matrix decomposition constraints. In the reconstruction procedure, a nonlinear iterative optimization technique is used. Experimental results showed that the proposed method provides proper accuracy and the error deviation is small.
Pattern Elimination Method Based on Perspective Transform for Defect Detection of TFT-LCD
Lee, Joon-Jae ; Lee, Kwang-Ho ; Chung, Chang-Do ; Park, Kil-Houm ; Park, Yun-Beom ; Lee, Byung-Gook ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 784~793
DOI : 10.9717/kmms.2012.15.6.784
Defects of TFT-LCD is detected by thresholding the difference image between the input image and template one because LCD panel has its inherent patterns. However, the pitch corresponding to pattern period is gradually changed according to the distance from the center of camera due to geometric distortion of camera characteristics. This paper presents a method to detect defects through comparing the pitch area with neighbor pitch areas where the perspective transform is performed with the extracted features to correct the distortion. The experimental results show that the performance of the proposed method is very effective for real data.
Comparison of Voxel Map and Sphere Tree Structures for Proximity Computation of Protein Molecules
Kim, Byung-Joo ; Lee, Jung-Eun ; Kim, Young-J. ; Kim, Ku-Jin ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 794~804
DOI : 10.9717/kmms.2012.15.6.794
For the geometric computations on the protein molecules, the proximity queries, such as computing the minimum distance from an arbitrary point to the molecule or detecting the collision between a point and the molecule, are essential. For the proximity queries, the efficiency of the computation time can be different according to the data structure used for the molecule. In this paper, we present the data structures and algorithms for applying proximity queries to a molecule with GPU acceleration. We present two data structures, a voxel map and a sphere tree, where the molecule is represented as a set of spheres, and corresponding algorithms. Moreover, we show that the performance of presented data structures are improved from 3 to 633 times compared to the previous data structure for the molecules containing 1,000~15,000 atoms.
Design and Development of Middleware for Clinical Trial System based on Brain MR Image
Jeon, Woong-Gi ; Park, Kyoung-Jong ; Lee, Young-Seung ; Choi, Hyun-Ju ; Jeong, Sang-Wook ; Kim, Dong-Eog ; Choi, Heung-Kook ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 805~813
DOI : 10.9717/kmms.2012.15.6.805
In this paper, we have designed and developed a middleware for an effectively approaching database to the existed brain disease clinical research system. The brain disease clinical research system was consisted of two parts i.e., a register and an analyzer. Since the register collects the registration data the analyzer yields a statistical data which based on the diverse variables. The middleware has designed to database management and a large data query processing of clients. By separating the function of each feature as a module, the module which was weakened connectivity between functionalities has been implemented the re-use module. And image data module used a new compression method from image to text for an effective management and storage in database. We tested the middleware system using 700 actual clinical medical data. As a result, the total data transmission time was improved maximum 115 times faster than the existing one. Through the improved module structures, it is possible to provide a robust and reliable system operation and enhanced security functionality. In the future, these middleware importances should be increased to the large medical database constructions.
Mobile Client Buffer Level-based Scheduling Algorithms for Variable-Bit-Rate Video Stream Transmission
Kim, Jin-Hwan ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 814~826
DOI : 10.9717/kmms.2012.15.6.814
In this paper, we propose scheduling algorithms for transporting variable-bit-rate video stream using playback buffer level of the clients over wireless communication networks. The proposed algorithms attempt to maximize the utilization of limited bandwidth between the central video server and the clients over a mobile network. Since a video server may serve several video request at the same time, it is important to allocate and utilize network bandwidth to serve them fairly and efficiently. In order to improve the quality of service and real-time performance of individual video playback, the video server attempts to allocate temporarily more network bandwidth to serve a video request with the lower buffer level preferentially. The simulation results prove the fair service and load balancing among the mobile concurrent clients with different buffer levels and hence maximizing the number of frames that are transported successfully to the client prior to their playback times.
3D Character Motion Synthesis and Control Method for Navigating Virtual Environment Using Depth Sensor
Sung, Man-Kyu ;
Journal of Korea Multimedia Society, volume 15, issue 6, 2012, Pages 827~836
DOI : 10.9717/kmms.2012.15.6.827
After successful advent of Microsoft`s Kinect, many interactive contents that control user`s 3D avatar motions in realtime have been created. However, due to the Kinect`s intrinsic IR projection problem, users are restricted to face the sensor directly forward and to perform all motions in a standing-still position. These constraints are main reasons that make it almost impossible for the 3D character to navigate the virtual environment, which is one of the most required functionalities in games. This paper proposes a new method that makes 3D character navigate the virtual environment with highly realistic motions. First, in order to find out the user`s intention of navigating the virtual environment, the method recognizes walking-in-place motion. Second, the algorithm applies the motion splicing technique which segments the upper and the lower motions of character automatically and then switches the lower motion with pre-processed motion capture data naturally. Since the proposed algorithm can synthesize realistic lower-body walking motion while using motion capture data as well as capturing upper body motion on-line puppetry manner, it allows the 3D character to navigate the virtual environment realistically.