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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 14, Issue 12 - Dec 2011
Volume 14, Issue 11 - Nov 2011
Volume 14, Issue 10 - Oct 2011
Volume 14, Issue 9 - Sep 2011
Volume 14, Issue 8 - Aug 2011
Volume 14, Issue 7 - Jul 2011
Volume 14, Issue 6 - Jun 2011
Volume 14, Issue 5 - May 2011
Volume 14, Issue 4 - Apr 2011
Volume 14, Issue 3 - Mar 2011
Volume 14, Issue 2 - Feb 2011
Volume 14, Issue 1 - Jan 2011
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Key Frame Assignment for Compr essed Video Based on DC Image Activity
Kim, Kang-Wook ; Lee, Jae-Seung ; Kwon, Seong-Geun ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1109~1116
DOI : 10.9717/kmms.2011.14.9.1109
In this paper, we propose a new and fast method for assigning the number of key frames to each shot. At first we segment the entire video sequence into elementary content unit called shots and then the key frame allocation is performed by calculating the accumulated value of AF(activity function). The proposed algorithm is based on the amount of content variation using DC images extracted from compressed video. By assigning the number of key frames to the shot that has the largest value of content function, one key frame is assigned at a time until you run out of given all key frames. The main advantage of our proposed method is that we do not need to use time-exhaustive computations in allocating the key frames over the shot and can perform it fully automatically.
Number Region Extraction of License Plates Using Colors and Arrangement of Numbers
Oh, Bok-Jin ; Choi, Doo-Hyun ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1117~1124
DOI : 10.9717/kmms.2011.14.9.1117
This paper proposes a plate number extraction method which uses the information of both the colors and the arrangement of numbers in a vehicle image with complex background. In a number plate, color of the numbers is usually black or white, and numbers are arranged in a row. At first, a raw image is partitioned into the plate number candidate regions and non-interest region. The number candidate regions are thresholded in mean binarization. After eliminating the illegal candidate regions using the aspect ratio of the plate number, the plate number region is finally extracted by using the arrangement information among the numbers. To evaluate the proposed mothed, 292 images are taken in various places and at different times. The experimental results show that the rate of the proposed number regions extraction is about 89.8%, 95.5% for the plate of green and white backgrounds, respectively.
Mobile Iris Recognition System Based on the Near Infrared Light Illuminator of Long Wavelength and Band Pass Filter and Performance Evaluations
Cho, So-Ra ; Nam, Gi-Pyo ; Jeong, Dae-Sik ; Shin, Kwang-Yong ; Park, Kang-Ryoung ; Shin, Jae-Ho ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1125~1137
DOI : 10.9717/kmms.2011.14.9.1125
Recently, there have been previous research about the iris recognition in mobile device to increase portability, whose accuracy is affected by the quality of iris image. Iris image is affected by illumination environment during the image acquisition. The existing system has high accuracy in indoor environment. However the accuracy is degraded in outdoor environment, because the gray levels of iris patterns in image are changed, and ghost and eyelash shading regions are produced by the sunlight of various wavelengths into iris region. To overcome these problems, we propose new mobile iris camera system which uses the near-infrared (NIR) light illuminator of 850 nm and band pass filter (BPF) of 850 nm. To measure the performance of the proposed system, we compared it to the existing one with the iris images captured in indoor and outdoor sunlight environments in terms of the equal error rates (EER) based on false acceptance rate (FAR) and false rejection rate (FRR). The experimental result showed that the proposed system had the lower EERs than those of previous system by 0.96% (with frontal light in indoors), 4.94% (with frontal light in outdoor), 9.24% (with side light in outdoor), and 7% (with back light in outdoor), respectively.
Data prediction Strategy for Sensor Network Clustering Scheme
Choi, Dong-Min ; Shen, Jian ; Moh, Sang-Man ; Chung, Il-Yong ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1138~1151
DOI : 10.9717/kmms.2011.14.9.1138
Sensor network clustering scheme is an efficient method that prolongs network lifetime. However, when it is applied to an environment in which collected data of the sensor nodes easily overlap, sensor node unnecessarily consumes energy. Accordingly, we proposed a data prediction scheme that sensor node can predict current data to exclude redundant data transmission and to minimize data transmission among the cluster head node and member nodes. Our scheme excludes redundant data collection by neighbor nodes. Thus it is possible that energy efficient data transmission. Moreover, to alleviate unnecessary data transmission, we introduce data prediction graph whether transmit or not through analyze between prediction and current data. According to the result of performance analysis, our method consume less energy than the existing clustering method. Nevertheless, transmission efficiency and data accuracy is increased. Consequently, network lifetime is prolonged.
Development of a Continuous Prediction System of Stock Price Based on HTM Network
Seo, Dae-Ho ; Bae, Sun-Gap ; Kim, Sung-Jin ; Kang, Hyun-Syug ; Bae, Jong-Min ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1152~1164
DOI : 10.9717/kmms.2011.14.9.1152
Stock price is stream data to change continuously. The characteristics of these data, stock trends according to flow of time intervals may differ. therefore, stock price should be continuously prediction when the price is updated. In this paper, we propose the new prediction system that continuously predicts the stock price according to the predefined time intervals for the selected stock item using HTM model. We first present a preprocessor which normalizes the stock data and passes its result to the stream sensor. We next present a stream sensor which efficiently processes the continuous input. In addition, we devise a storage node which stores the prediction results for each level and passes it to next upper level and present the HTM network for prediction using these nodes. We show experimented our system using the actual stock price and shows its performance.
Two Level Bin-Packing Algorithm for Data Allocation on Multiple Broadcast Channels
Kwon, Hyeok-Min ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1165~1174
DOI : 10.9717/kmms.2011.14.9.1165
In data broadcasting systems, servers continuously disseminate data items through broadcast channels, and mobile client only needs to wait for the data of interest to present on a broadcast channel. However, because broadcast channels are shared by a large set of data items, the expected delay of receiving a desired data item may increase. This paper explores the issue of designing proper data allocation on multiple broadcast channels to minimize the average expected delay time of all data items, and proposes a new data allocation scheme named two level bin-packing(TLBP). This paper first introduces the theoretical lower-bound of the average expected delay, and determines the bin capacity based on this value. TLBP partitions all data items into a number of groups using bin-packing algorithm and allocates each group of data items on an individual channel. By employing bin-packing algorithm in two step, TLBP can reflect a variation of access probabilities among data items allocated on the same channel to the broadcast schedule, and thus enhance the performance. Simulation is performed to compare the performance of TLBP with three existing approaches. The simulation results show that TLBP outperforms others in terms of the average expected delay time at a reasonable execution overhead.
Cauterizing Effect Animation for Virtual Surgery Medical Simulation
Lee, Jeong-Jin ; Lee, Ho ; Kye, Hee-Won ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1175~1181
DOI : 10.9717/kmms.2011.14.9.1175
Practice education using virtual medical simulation has been recently introduced to maximize the learning efficiency in clinical environment. Specially, in minimally invasive surgery, the necessity of virtual surgery medical simulation has been substantially increased. Since cauterizing effect occurred frequently in minimally invasive surgery has been represented by simple bleeding, realistic cauterizing effect animation has not been proposed yet. In this paper, we propose realistic real-time cauterizing effect animation. Proposed method changes the individual element of each vertex color of the mesh and uses sigmoid function to impose weights for the smooth color change inside the valid mesh region so that the results of cauterizing effect animation was realistic. In addition, by proposing cauterizing color buffer, overlapped cauterizing effects can be realistically represented. Proposed method greatly improves the sense of the real and absorption in virtual surgery medical simulation so that the education efficiency of doctors and students using medical simulation can be maximized.
Visualizing Excercise Prescription Using Visual Path Map
Ham, Jun-Seok ; Jeong, Chan-Soon ; Ko, Il-Ju ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1182~1189
DOI : 10.9717/kmms.2011.14.9.1182
We named the system Visual Path Map which visualizes the distribution of clusters according to characteristics and entire process about exercise prescription, and we purpose to visualize a process according to exercise prescription. Visual Path Map visualizes the distribution of clusters according to characteristics, current and object distribution, and changed distribution for prescription. So it visualizes paths from current distribution to object distribution according to prescription. We used SOM in order to express properties along subjects in Visual Path map, and visualized distribution of clusters about physical characteristics, body mass index, and age information of 1,500 ordinary people. Also we visualize practical exercise prescription according to real data of expert of exercise prescription.
Development of Education Program for Nursing Process based on Mobile Application
Cho, Hune ; Hong, Hae-Sook ; Kim, Hwa-Sun ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1190~1201
DOI : 10.9717/kmms.2011.14.9.1190
The purpose of this research paper is to develop Mobile application-based Nursing Process Programs on `Nursing Diagnosis`, `Nursing Interventions` and `Nursing Outcomes Classification` targeting nurses and nurse students. To achieve it, this paper uses `standard classification-focused research data` on the basis of Nursing Diagnosis Classification established by NANDA (North American Nursing Diagnosis Association), NIC (Nursing Interventions Classification) and NOC (Nursing Outcomes Classification) mainly developed by Iowa State University. The existing research methods are difficult to be applied to patients, since such methods put a restriction on choosing, developing, and generalizing `Nursing Process Programs` in clinical spheres. But, this research thesis focuses on developing guidelines applicable to any clinical experiences, with the use of the framework in mutual links with all the nursing diagnosisoutcomes- interventions. In this regard, the Korean version programs were developed and registered in App store in March. Thus, it is expected that these programs would be wildly-available as tools for nursing education.
A Framework for Electroencephalogram Process at Real-Time using Brainwave
Sung, Yun-Sick ; Cho, Kyung-Eun ; Um, Ky-Hyun ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1202~1209
DOI : 10.9717/kmms.2011.14.9.1202
Neuro feedback training using ElectroEncephalo Grams (EEGs) is commonly utilized in the treatment of Alzheimer`s disease, and Attention Deficit Hyperactivity Disorder (ADHD). Recently, BCI (Brain-computer Interface) contents have developed, not for the purpose of treatment, but for concentration improvement or brain relaxation training. However, as each user has different wave forms, it is hard to develop contents controlled by such different wave. Therefore, an EEG process that allows the ability to transform the variety of wave forms into one standard signal and use it without taking a user`s characteristic of EEG into account, is required. In this paper, a framework that can reduce users` characteristics by normalizing and converting measured EEGs is proposed for contents. This framework also contains the process that controls different brainwave measuring devices. In experiment a handling process applying the proposed framework to the developed BCI contents is introduced.
A Haptic Mouse for an Immersive Interface
Kim, Da-Hye ; Cho, Seong-Man ; Kim, Sang-Youn ;
Journal of Korea Multimedia Society, volume 14, issue 9, 2011, Pages 1210~1220
DOI : 10.9717/kmms.2011.14.9.1210
In this paper, we suggest a haptic mouse system as an immersive interface between virtual environment and a human operator. The proposed haptic mouse creates vibrotacitle and thermal sensation to increase the immersion. The vibrotactile module is composed of eccentric motors and a solenoid actuator, and the thermal module consists of a thin-film resistance temperature detector and a Peltier thermoelectric heat pump. In order to evaluate the proposed haptic mouse system, we develop a simple racing game and conduct an experiment. The result of the experiment shows that the proposed haptic mouse system can improve the sense of reality in virtual environment and can be used as an effective interface between virtual environment and a human operator.