• Journal of the Korea Institute of Building Construction
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• v.20 no.3
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• pp.289-296
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• 2020

This study suggests a methodology for automatically extracting placing information from 2D reinforced concrete details drawings and generating a 3D reinforcement placing model to develop a mobile augmented reality for bar placing work. To make it easier for users to acquire placing information, it is suggested that users takes pictures of structural drawings using a camera built into a mobile device and extract placing information using vision recognition and the OCR(Optical Character Registration) tool. In addition, an augmented reality app is implemented using the game engine to allow users to automatically generate 3D reinforcement placing model and review the 3D models by superimposing them with real images. Details are described for application to the proposed methodology using the previously developed programming tools, and the results of implementing reinforcement augmented reality models for typical members at construction sites are reviewed. It is expected that the methodology presented as a result of application can be used for learning bar placing work or construction review.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.2
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• pp.54-68
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• 2002

In this paper, We propose a multi-dimensional index structure, called a VA (vector approximate) -tree that constructs a tree with vector approximates of multi-dimensional feature vectors. To save storage space for index structures, the VA-tree employs vector approximation concepts of VA-file that presents feature vectors with much smaller number of bits than original value. Since the VA-tree is a tree structure, it does not suffer from performance degradation owing to the increase of data. Also, even though the VA-tree is MBR Minimum Bounding Region) based tree structure like a R-tree, its split algorithm never allows overlap between MBRs. We show through various experiments that our proposed VA-tree is the efficient index structure for large amount of multi-dimensional data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.3
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• pp.155-163
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• 2011

Rumor or abusive web postings in internet has become a social issue. Web postings may be proposed on evidence in form of a screenshot in libel suit, but a screenshot can be easily modified by computer programs. A person can make ill use of the screenshot which is modified deliberately original contents to opposite meaning in a lawsuit. That makes an innocent person to be punished because it can have difficulties to verify despite analyzing the server data. A screenshot of web postings is likely to fail to prove its authenticity and it is not able to reflect the fact. If notarization for web postings is offered, clear and convincing evidence can be submitted in a court. So, related techniques and policies should be established In this paper, we propose some technical and legal conditions and design for notarization and archive system of web postings for litigation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.263-266
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• 2013

표는 중요한 정보를 함축적으로 담고 있는 문서 요소로서 문서 영상에서 표의 내용과 구조를 분석하고 이해하려는 연구가 많이 진행되어 왔다. 이러한 표의 검출과 인식에 관한 기존의 연구들은 평판 스캐너로 취득한 문서 영상을 대상으로 이루어졌는데 최근에는 디지털 카메라와 스마트폰이 보급됨에 따라 평판 스캐너 대신 카메라를 이용한 표 인식의 필요성이 대두되고 있다. 따라서 본 논문에서는 카메라로 획득한 문서 영상에서 표 인식에 대한 알고리듬을 제안한다. 먼저 표가 선들의 집합으로 이루어져 있다는 가정 아래 문서 이미지에 존재하는 선을 이진화와 강인한 곡선 맞춤 알고리듬을 사용하여 검출한다. 검출된 선들의 교차점은 표의 요소일 수도 있으며 오검출의 결과일 수도 있는데 교차점 주변의 관찰 결과와 교차점 사이의 연관 관계를 에너지 식으로 표현하고 이 식을 최소화함으로써 각각의 교차점에 최적의 레이블을 할당한다. 얻어진 레이블은 표로 유일하게 변환되며 표의 구조를 셀 단위까지 추정할 수 있다. 다양한 표 영상에 대한 실험 결과를 통하여 제안한 방법이 문서영상의 기하학적인 왜곡에도 불구하고 영상에 존재하는 표를 성공적으로 인식함을 보여준다.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.385-391
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• 2004

Today, mobile technology is developing very fast and people use internet through mobile phones. Using mobile phones, people use games, email, avatar and other services. We designed client/server modules in order to join email and avatar together. First two major server modules were designed, one of them is DB management module for avatar user information and the other is email management module. One the client side, we designed avatar image animation module and a module for showing the email contents. The purpose of the design is to reduce the performance overhead on the client side as mobile phones cannot be used as a high performance device. We propose and implement a new avatar based service using the SK-VM environment, that is different from the current avatar services.

• Journal of Korea Multimedia Society
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• v.6 no.5
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• pp.797-804
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• 2003

Scene change detection algorithm, which is very important preprocessing technique for video indexing and retrieval and determines the performance of video database system, is being studied widely. In this paper, we propose a more effective abrupt scene change detection, which is robust to large motion, sudden change of light and successive abrupt shot transitions rapidly. And we also propose a new gradual scene change detection algorithm, which can detect dissolve, and fade in/out precisely. Furthermore, we also propose a representative frame extraction algorithm which performs content-based video summary by novel DCT DC image buffering technique and accumulative histogram intersection measure (AHIM).

• Journal of Software Engineering Society
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• v.28 no.1
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• pp.23-28
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• 2019

Recently, in order to effectively test deep neural network model for image processing application, researches have actively conducted to automatically generate data in corner-case that is not correctly predicted by the model. This paper proposes test data generation method that selects arbitrary words from input of system and transforms them into synonyms in order to test the bug reporter automatic assignment system based on sentence classification deep neural network model. In addition, we compare and evaluate the case of using proposed test data generation and the case of using existing difference-inducing test data generations based on various neuron coverages.

• Archives of design research
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• v.17 no.4
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• pp.191-200
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• 2004

The health of feet is connected with individual's health and affects a man's activity. Shoes need to be designed to protect feet and to absorb the impact of land. Thus, design, comfort and economical efficiency are important factors of shoes. Consumers can choose suitable shoes for their feet in off-line shopping. However, in on-line shopping, because they can not wear shoes, compare to the off-line shopping, there are many problems in internet shopping. First, consumers can get limited information of shoes because they must search information of purchase without other's help. Second, because consumers can not get important information such as design, size and a comfort of wearing, they can not make a careful decision. Above these, the solution of user-oriented internet shopping is development of new type of prototype which is accessible to user and to offer visual information through 3D virtual reality.

• Journal of the Korea Computer Graphics Society
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• v.12 no.4
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• pp.23-32
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• 2006

In recent years, since the digital camera has been popularized, so users can easily collect hundreds of photos in a single usage. Thus the managing of hundreds of digital photos is not a simple job comparing to the keeping paper photos. We know that managing and classifying a number of digital photo files are burdensome and annoying sometimes. So people hope to use an automated system for managing digital photos especially for their own purposes. The previous studies, e.g. content-based image retrieval, were focused on the clustering of general images, which it is not to be applied on digital photo clustering and classification. Recently, some specialized clustering algorithms for images clustering digital camera images were proposed. These algorithms exploit mainly the statistics of time gap between sequent photos. Though they showed a quite good result in image clustering for digital cameras, still lots of improvements are remained and unsolved. For example the current tools ignore completely the image transformation with the different focal lengths. In this paper, we present a photo considering focal length information recorded in EXIF. We propose an algorithms based on MVA(Matching Vector Analysis) for classification of digital images taken in the every day activity. Our experiment shows that our algorithm gives more than 95% success rates, which is competitive among all available methods in terms of sensitivity, specificity and flexibility.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.130-137
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• 2009

TV broadcast of election returns is an index to measure a public responsibility, scientific analysis and production power in each broadcasting station. This is the reason why each broadcasting station is spending a great amount of money, mobilizing many people and using facilities. TV election returns broadcast has been advanced for decades, particularly in its production, system and presentation. And, among those, broadcast graphic and inset graphic, which are representing election-related information, have became the important components in TV broadcast of election returns because of the advancement of production technology, a variety of presentation forms, and the visual effects. In this research, I analyze the part of image composition in inset graphic of TV election returns broadcast. As a result, in making insert graphic, each broadcasting station is analyzed to be producing the accurate and clear delivery of information on the stability and reliability of a visualized form, first and foremost. It requires that we research the methodology for the accurate and reliable delivery of information, as well as various image productions with a result of the progress in production technology.