• Journal of Korea Multimedia Society
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• v.12 no.9
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• pp.1252-1261
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• 2009

One notable challenge in video searching and summarizing is extracting semantic from video contents and annotating context for video contents. Video semantic or context could be obtained by two methods to extract objects and contexts between objects from video. However, the method that use just to extracts objects do not express enough semantic for shot or scene as it does not describe relation and interaction between objects. To be more effective, after extracting some objects, context like relation and interaction between objects needs to be extracted from conversation situation. This paper is a study for how to detect speaker and how to compose context for talking to annotate conversation context. For this, based on this study, we proposed the methods that characters are recognized through face recognition technology, speaker is detected through mouth motion, conversation context is extracted using the rule that is composed of speaker existing, the number of characters and subtitles existing and, finally, scene context is changed to xml file and saved.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.435-442
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• 2009

We propose an annotation system, which allows users moving on an environment to receive personalized messages that are generated by exploiting contextual information. In the system, the context is defined as an entity including user's identity, location and time. Identity of user is a key data to enable personal aspect of generated message. For sensing the context, the proposed system uses AR(augmented reality) technology. Markers are attached to real objects for tracking user's location. AR can provide an effective annotating method to enhance human's perception and interaction abilities. The received message can be a virtual post-it or three-dimensional virtual model of object overlaid onto the real-world view. Experimental results show that the proposed system works well in real-time with high performance and it can be used as a mobile service for personalized messaging.

• Journal of Korea Multimedia Society
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• v.8 no.2
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• pp.137-153
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• 2005

This paper presents a transcoding method that dynamically adapts Web pages to various devices. The proposed method is based on a CC/PP profile that is a standard description of a device's context information. Additionally, to support a sophisticated transcoding, we define an annotation schema for representing additional information about original contents. Since a mobile device has a screen of limited size, A Web page is splitted into many small ones. Our method constructs a navigation-map that represents the hierarchical relations among the splitted pages. Experimental results with various Web contents show that the proposed method is superior in terms of user's convenience of navigation and the transcoding Quality.

• Journal of KIISE:Software and Applications
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• v.33 no.2
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• pp.231-242
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• 2006

Accurate proofreading Interface requires resolving the ambiguity that occurs when the system determines the relations between the free-form by the user and editing scopes of the document. Proofreading for structure documents such as XML/XHTML involves modification of document structures and modified document also should follow the pre-defined DTD. This paper present a CPI (Context-based Proofreading Interface) based on the XML. The CPI supports free-form drawing of correction marks and provides context-based scope recognition and revision methods. CPI provides both implicit and explicit modification methods for document structures. As a result, the correction mark information produced in this paper includes more accurate scope information than that in other systems.

• Journal of The Korean Association of Information Education
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• v.11 no.1
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• pp.107-116
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• 2007

To produce accurate editing results, the ambiguity of editing scopes related to marked correction signs should be solved. Proofreading the web document modifies the document structures, and the modified structures should be robustly valid for the defined DTD. This paper presents a pen-based proof-reading interface in the XML document. In the proposed interface, correction signs are free-drawn, and the editing scopes are recognized and revised based on the contexts of the document to minimize the ambiguity of the editing scopes. The proposed interface provides both implicit and explicit modification methods for document structures. As a result, the editing scopes processed in the proposed interface are more accurate, and the document structures are maintained valid for DTD after the editing.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2001.10a
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• pp.1-9
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• 2001

scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences and information technology. The informatics revolutions both in clinical informatics and bioinformatics will change the current paradigm of biomedical sciences and practice of clinical medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. In this talk, 1 will describe how these technologies will in pact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine teaming algorithms will be presented. Issues of integrated biochip informatics technologies including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples from ongoing research activities in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.425-428
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• 2008

모바일기기에 탑재되어있는 디지털 카메라의 성능이 향상됨에 따라 이를 이용한 사진의 촬영 및 수집이 용이해졌으며, 따라서 사용자 로그정보를 이용하여 방대한 양의 사진을 분석하거나 브라우징해주는 방법들이 연구되고 있다. 본 논문에서는 모바일기기의 불확실한 로그정보와 사진 주석정보를 베이지안 네트워크로 모델링하여 사용자가 겪은 이벤트들을 추론하고 사용자의 일과를 요약해주는 방법을 제안한다. 우선 사진들을 시간과 위치정보에 따라 분할하여 사진그룹목록을 생성하고, 이를 모바일기기에 입력되어있는 사용자의 일정목록과 합하여 임시이벤트목록을 생성한다. 그 뒤 베이지안 네트워크를 이용하여 각 이벤트를 인식하고 이를 가장 잘 나타내는 사진을 선택한다. 제안하는 방법은 선택된 사진들을 나열하여 사진다이어리형식으로 사용자의 일과를 요약하여주며, 이때 특정 이벤트와 매치되는 사진이 없을 경우 미리 정의되어있는 만화 컷을 대신 사용하여 내용이 매끄럽게 이어지도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.221-224
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• 2002

본 논문에서는 전자책을 이용한 e-Learning 플랫폼을 소개한다. 이 시스템은 전자책에 대해 주석(annotation)을 추가하는 방식으로 텍스트의 부분에 대해 하이라이트, 북마크로 메모를 달거나 프리드로잉을 이용하여 설명을 달 수 있다 전자책에 추가된 하이라이트 및 북마크 등의 정보는 학생 리더 시스템에 외부 데이터로 저장되어 개인적인 학습에 사용할 수 있을 뿐 아니라 동기적인 원격 강의 방식으로 교사의 네비게이션과 액션에 따라 그 결과를 학생 터미널에 바로 보여주어 교사가 교재 화면을 칠판 대신 사용하면서 강의 내용을 전달하는 것이 가능하다. 또한 전자책에 기반한 토론을 지원하기 위해 채팅 기능을 구현하였는데, 각 문장은 전자책의 특정 위치(context)에 연결될 수 있다. 본 시스템은 전자책을 이용한 개별학습 자료의 제공 및 실시간 원격 강의를 위한 플랫폼을 제시하였으며, 자바 기반의 전자책 리더 시스템상에 구현하였다[1].

• Journal of Microbiology
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• v.43 no.5
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• pp.411-416
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• 2005

The high-throughput sequencing of microbial genomes has resulted in the relatively rapid accumulation of an enormous amount of genomic sequence data. In this context, the problem posed by the detection of promoters in genomic DNA sequences via computational methods has attracted considerable research attention in recent years. This paper addresses the development of a predictive model, known as the dependence decomposition weight matrix model (DDWMM), which was designed to detect the core promoter region, including the -10 region and the transcription start sites (TSSs), in prokaryotic genomic DNA sequences. This is an issue of some importance with regard to genome annotation efforts. Our predictive model captures the most significant dependencies between positions (allowing for non­adjacent as well as adjacent dependencies) via the maximal dependence decomposition (MDD) procedure, which iteratively decomposes data sets into subsets, based on the significant dependence between positions in the promoter region to be modeled. Such dependencies may be intimately related to biological and structural concerns, since promoter elements are present in a variety of combinations, which are separated by various distances. In this respect, the DDWMM may prove to be appropriate with regard to the detection of core promoter regions and TSSs in long microbial genomic contigs. In order to demonstrate the effectiveness of our predictive model, we applied 10-fold cross-validation experiments on the 607 experimentally-verified promoter sequences, which evidenced good performance in terms of sensitivity.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.1-21
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• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.