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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 14B, Issue 7 - Dec 2007
Volume 14B, Issue 6 - Oct 2007
Volume 14B, Issue 5 - Oct 2007
Volume 14B, Issue 4 - Aug 2007
Volume 14B, Issue 3 - Jun 2007
Volume 14B, Issue 2 - Apr 2007
Volume 14B, Issue 1 - Feb 2007
Selecting the target year
Automatic Detection of Highlights in Soccer videos based on analysis of scene structure
Park, Ki-Tae ; Moon, Young-Shik ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 1~4
DOI : 10.3745/KIPSTB.2007.14-B.1.001
In this paper, we propose an efficient scheme for automatically detecting highlight scenes in soccer videos. Highlights are defined as shooting scenes and goal scenes. Through the analysis of soccer videos, we notice that most of highlight scenes are shown around the goal post area. It is also noticed that the TV camera zooms in a setter player or spectators after the highlight stones. Detection of highlight scenes for soccer videos consists of three steps. The first step is the extraction of the playing field using a statistical threshold. The second step is the detection of goal posts. In the final step, we detect a zooming of a soccer player or spectators by using connected component labeling of non-playing field. In order to evaluate the performance of our method, the precision and the recall are computed. Experimental results have shown the effectiveness of the proposed method, with 95.2% precision and 85.4% recall.
An Efficient Method for Representing of Binary Images by Region-centralized Shape Descriptor
Kim, Seon-Jong ; Kwon, Hyeog-Soong ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 5~12
DOI : 10.3745/KIPSTB.2007.14-B.1.005
This paper gives a novel approach that can be represented an image efficiently with its region and shape information together. To do this, we introduced a region-centralized shape descriptor(RCSD) that the size of region only exists at a center point. RCSD consists of circles with three parameters, the distance and the angle between the tenter points, and the diameter, respectively We verified the RCSD parameters to have an information of shape. We can be proved this by reconstructing the shape from the given parameters and evaluated the difference between the its image and the original one. To get this image, we find the estimated points on the contour from the parameters, and connect them by using an interpolation. According to the evaluation, we obtained 88% performance for real images, and showed that it can be used efficiently for representing the binary images. Also we cu make RCSD parameters to be the normalized patterns to have an invariant of its scale or position, and expand them to improve the quality of the performance.
A Study on Audience Counting Method in Auditorium Based on Pattern Comparison
Sim, Sang-Kyun ; Park, Young-Kyung ; Kim, Joong-Kyu ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 13~22
DOI : 10.3745/KIPSTB.2007.14-B.1.013
In this paper, we propose an audience counting method in an auditorium based on pattern comparison. The previous counting methods based on object detection can`t exactly count the audience in real time because auditorium has coarse illumination condition and so many audiences. Therefore, in this paper, we count the audience in an auditorium with fixed seats by the method which the pattern from each reference seat is compared to the pattern from each input seat. Especially, to overcome limitations based on either illumination or noise, two pattern comparison methods are efficiently employed and combined. One is based on the amplitude projection, and the other is based on Walsh-Hadamard Kernel. Walsh-Hadamard Kernel has the characteristic which complements amplitude projection. Therefore, we ran achieve the accurate counting in the presence of coarse illumination and noise. The experimental results show that our method performs well on sequences of images acquired in an auditorium. We also verify a realistic possibility for other applications applying our method to the parking positioning system.
XML-GL Query Modelling using UML Class Diagram
Choi, Bong-Jin ; Yoo, Chun-Sik ; Kim, Yong-Sung ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 23~32
DOI : 10.3745/KIPSTB.2007.14-B.1.023
Nowadays, XML has been favored by many companies internally and externally as a means of sharing and distributing data, due to its open-architectural structure. XML-GL, a graphical query language for document has the advantage of containing both structuring and defining of itself. By incorporating UML an XML document can become object-oriented and can be represented by graphical means. This paper proposes a XML-GL query modeling solution by using UML class diagrams. In order for the modeled objects to be properly restricted, the Object Constraint Language has been defined. This process converts XML documents into Object-Oriented data and combined with UML class diagrams, searches for XML documents can be increased.
Music Structure Analysis and Application
Seo, Jung-Bum ; Bae, Jae-Hak ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 33~42
DOI : 10.3745/KIPSTB.2007.14-B.1.033
This paper presents a new methodology for music structure analysis which facilitates rhetoric-based music summarization. Similarity analysis of musical constituents suggests the structure of a musical piece. We can recognize its musical form from the structure. Musical forms have rhetorical characteristics of their on. We have utilized the characteristics for locating musical motifs. Motif extraction is to music summarization what topic sentence extraction is to text summarization. We have evaluated the effectiveness of this methodology through a popular music case study.
Design of Courseware Based on Scaffolding for Teaching Math Word Problem Solving of Students with Intellectual Disabilities
Nam, Yun-Sug ; Han, Seong-Hee ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 43~50
DOI : 10.3745/KIPSTB.2007.14-B.1.043
This study proposes design of courseware based on scaffolding for teaching math word problem solving of students with intellectual disabilities. This courseware not only offer various technological supports to solving difficult problems of students with intellectual disabilities but also systematically withdraw that supports. Compared with previous related softwares, this courseware has potential that can adapt math strategies to meet different needs of individuals with intellectual disabilities, increase independent learning ability of learners and maintain high level of motive through successful problem solving experience.
VoiceXML Dialog System Based on RSS for Contents Syndication
Kwon, Hyeong-Joon ; Kim, Jung-Hyun ; Lee, Hyon-Gu ; Hong, Kwang-Seok ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 51~58
DOI : 10.3745/KIPSTB.2007.14-B.1.051
Fuzzy Cluster Based Diagnosis System for Classifying Computer Viruses
Rhee, Hyun-Sook ;
The KIPS Transactions:PartB, volume 14B, issue 1, 2007, Pages 59~64
DOI : 10.3745/KIPSTB.2007.14-B.1.059
In these days, malicious codes have become reality and evolved significantly to become one of the greatest threats to the modern society where important information is stored, processed, and accessed through the internet and the computers. Computer virus is a common type of malicious codes. The standard techniques in anti-virus industry is still based on signatures matching. The detection mechanism searches for a signature pattern that identifies a particular virus or stain of viruses. Though more accurate in detecting known viruses, the technique falls short for detecting new or unknown viruses for which no identifying patterns present. To cope with this problem, anti-virus software has to incorporate the learning mechanism and heuristic. In this paper, we propose a fuzzy diagnosis system(FDS) using fuzzy c-means algorithm(FCM) for the cluster analysis and a decision status measure for giving a diagnosis. We compare proposed system FDS to three well known classifiers-KNN, RF, SVM. Experimental results show that the proposed approach can detect unknown viruses effectively.