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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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The KIPS Transactions:PartB
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Korea Information Processing Society
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Volume & Issues
Volume 17B, Issue 6 - Dec 2010
Volume 17B, Issue 5 - Oct 2010
Volume 17B, Issue 4 - Aug 2010
Volume 17B, Issue 3 - Jun 2010
Volume 17B, Issue 2 - Apr 2010
Volume 17B, Issue 1 - Feb 2010
Selecting the target year
Non-parametric Background Generation based on MRF Framework
Cho, Sang-Hyun ; Kang, Hang-Bong ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 405~412
DOI : 10.3745/KIPSTB.2010.17B.6.405
Previous background generation techniques showed bad performance in complex environments since they used only temporal contexts. To overcome this problem, in this paper, we propose a new background generation method which incorporates spatial as well as temporal contexts of the image. This enabled us to obtain `clean` background image with no moving objects. In our proposed method, first we divided the sampled frame into m*n blocks in the video sequence and classified each block as either static or non-static. For blocks which are classified as non-static, we used MRF framework to model them in temporal and spatial contexts. MRF framework provides a convenient and consistent way of modeling context-dependent entities such as image pixels and correlated features. Experimental results show that our proposed method is more efficient than the traditional one.
A Dynamic Bandwidth Allocation Scheme based on Playback Buffer Level in a Distributed Mobile Multimedia System
Kim, Jin-Hwan ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 413~420
DOI : 10.3745/KIPSTB.2010.17B.6.413
In this paper, we propose a scheme for dynamic allocating network bandwidth based on the playback buffer levels of the clients in a distributed mobile multimedia system. In this scheme, the amount of bandwidth allocated to serve a video request depends on the buffer level of the requesting client. If the buffer level of a client is low or high temporarily, more or less bandwidth will be allocated to serve it with an objective to make it more adaptive to the playback situation of this client. By employing the playback buffer level based bandwidth allocation policy, fair services can also be provided to the clients. In order to support high quality video playbacks, video frames must be transported to the client prior to their playback times. The main objectives in this bandwidth allocation scheme are to enhance the quality of service and performance of individual video playback such as to minimize the number of dropped video frames and at the same time to provide fair services to all the concurrent video requests. The performance of the proposed scheme is compared with that of other static bandwidth allocation scheme through extensive simulation experiments, resulting in the 4-9% lower ratio of frames dropped according to the buffer level.
A Technique Getting Fast Masks Using Rough Division in Dynamic ROI Coding of JPEG2000
Park, Jae-Heung ; Lee, Jum-Sook ; Seo, Yeong-Geon ; Hong, Do-Soon ; Kim, Hyun-Joo ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 421~428
DOI : 10.3745/KIPSTB.2010.17B.6.421
It takes a long time for the users to view a whole image from the image server under the low-bandwidth internet environments or in case of a big sized image. In this case, as there needs a technique that preferentially transfers a part of image, JPEG2000 offers a ROI(Region-of-Interest) coding. In ROI coding, the users see the thumbnail of image from the server and specifies some regions that they want to see first. And then if an information about the regions are informed to the server, the server preferentially transfers the regions of the image. The existing methods requested a huge time to compute the mask information, but this thesis approximately computes the regions and reduces the creating time of the ROI masks. If each code block is a mixed block which ROI and background are mixed, the proper boundary points should be acquired. Searching the edges of the block, getting the two points on the edge, to get the boundary point inside the code block, the method searches a mid point between the two edge points. The proposed method doesn`t have a big difference compared to the existing methods in quality, but the processing time is more speedy than the ones.
Constructing 3D Outlines of Objects based on Feature Points using Monocular Camera
Park, Sang-Heon ; Lee, Jeong-Oog ; Baik, Doo-Kwon ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 429~436
DOI : 10.3745/KIPSTB.2010.17B.6.429
This paper presents a method to extract 3D outlines of objects in an image obtained from a monocular vision. After detecting the general outlines of the object by MOPS(Multi-Scale Oriented Patches) -algorithm and we obtain their spatial coordinates. Simultaneously, it obtains the space-coordinates with feature points to be immanent within the outlines of objects through SIFT(Scale Invariant Feature Transform)-algorithm. It grasps a form of objects to join the space-coordinates of outlines and SIFT feature points. The method which is proposed in this paper, it forms general outlines of objects, so that it enables a rapid calculation, and also it has the advantage capable of collecting a detailed data because it supplies the internal-data of outlines through SIFT feature points.
The Influence of Hemosialysis to the Face Color of Patients in End Stage Renal Disease
Lee, Se-Hwan ; Cho, Dong-Uk ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 437~444
DOI : 10.3745/KIPSTB.2010.17B.6.437
In this paper, we propose a method of analysing the relation between the patient`s face color and his(her) kidney disease using image processing technology. This method is based on the ocular inspection which is one of the most famous diagnosis methods used in the oriental medical system. The way of processing and analysing the face image, which is for visualization and objectification of the color difference, is included. The objects are selected from the patients who suffer the kidney disease and use the hemodialyzer. Their facial images and clinical data are collected. From these data, we propose a hypothesis that the color of the patient`s face is changed according to the patient`s kidney state. At the same time, we present two algorithms of extracting the specific part of face which can identify the state of the patient`s kidney and tracing the history of the color`s change. This proposed method is evaluated through the practical experiments and their analysis.
LCD BLU Defects Detection System with Sidelight
Moon, Chang-Bae ; Bark, Jee-Woong ; Lee, Hae-Yeoun ; Kim, Byeong-Man ; Shin, Yoon-Sik ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 445~458
DOI : 10.3745/KIPSTB.2010.17B.6.445
A Cold Cathode Fluorescent Lamp(CCFL) is used as a LCD Monitor`s backlight widely. The most common way to check CCFL`s defects is an examination with the naked eye. This naked eye examination can cause examination inconsistencies and industrial disasters. A shooting environment and detection algorithms are important for finding CCFL defects automatically. This paper presents CCFL defect detection algorithms using images captured under the shooting environment with sidelight which is one of the shooting environment we have suggested. The experimental result shows 4.65% of overdetection and 5.37% of unsuccessful defect detection of CCFL.
Probabilistic Part-Of-Speech Determination for Efficient English-Korean Machine Translation
Kim, Sung-Dong ; Kim, Il-Min ;
The KIPS Transactions:PartB, volume 17B, issue 6, 2010, Pages 459~466
DOI : 10.3745/KIPSTB.2010.17B.6.459
Natural language processing has several ambiguity problems, and English-Korean machine translation especially includes those problems to be solved in each translation step. This paper focuses on resolving part-of-speech ambiguity of English words in order to improve the efficiency of English analysis, which is in part of efforts for developing practical English-Korean machine translation system. In order to improve the efficiency of the English analysis, the part-of-speech determination must be fast and accurate for being integrated with machine translation system. This paper proposes the probabilistic models for part-of-speech determination. We use Penn Treebank corpus in building the probabilistic models. In experiment, we present the performance of the part-of-speech determination models and the efficiency improvement of the machine translation system by the proposed part-of-speech determination method.