• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.336-337
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• 2021

In this paper, we propose a video browsing service that provides both video content search and video browsing through a real-time user interface on the web. We propose an efficient scene change detection method that combines an RGB color histogram and a 𝛘² histogram for scene segmentation and key frame extraction of image sequences.

• Journal of Korea Entertainment Industry Association
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• 제15권6호
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• pp.35-54
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• 2021

This study examines the characteristics of CBS's Kim Hyun-Jung's News Show(hearafter News Show) and the change to transmedia. The distinguishing characteristics of News Show compared to radio-based current affairs programs are as follows. First, despite its time limit, it adopts the form of investigative reports or investigative documentaries to uncover the truth of the events through 'Detective Son Su-Ho', etc. Second, News show's interviews have avoided biased stance in the reporting of minority issues by interviewing the affected parties anonymously including people involved in incidents and accidents, bereaved families, and other victims. News Show has been producing a transmedia content called 'That Honey Show' (a show that reads comments as fun as honey) since November 2018. 'That Honey Show' is broadcast in real time on YouTube right after the News Show radio broadcast ends. As a form of spin-off content, 'That Honey Show' breaks down the boundaries among staff, MCs, and guests, as well as shifting roles by using 'vice characters'. The female host, Kim conducts interviews with the main characters related to various issues and extends the fixed identity of current affairs shows to the everyday politics and cultural realms. Thus she draws active participation and responses audience. This paper analyzes two representative broadcast cases of 'That Honey Show'-first, the case of resistance and activity of the BTS fandom ARMY in the US presidential election, and, second, the case of reporting on the Nth room incident. This analysis considers the critical participation of digital citizens and the effect of fostering a sense of community in the current affairs show in the transmedia era.

• Journal of KIISE:Software and Applications
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• 제26권9호
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• pp.1052-1060
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• 1999

이제까지 비디오 데이타베이스를 모델링하기 위한 많은 연구들이 수행되었지만 그 모든 모델들에서 다루는 비디오 데이타는 사용자의 개입이 없을 때 항상 미리 정의된 순서로 보여진다는 점에서 정적 데이타 모델로 간주될 수 있다. 주문형 뉴스 서비스, 주문형 비디오 서비스, 디지털 도서관, 인터넷 쇼핑 등과 같이 최신 비디오 정보 서비스를 제공하는 비디오 데이타베이스 응용들에서는 빈번한 비디오 편집이 요구되는데 실시간 처리가 바람직하다. 이를 위해서 기존의 비디오 데이타 내용이 변경되거나 새로운 비디오 데이타가 생성되어야 하지만 이제까지의 비디오 데이타 모델에서는 이러한 비디오 편집 작업이 일일이 수작업으로 수행되어야만 했다. 본 논문에서는 비디오 편집에 드는 노력을 줄이기 위해서 객체지향 데이타 모델에 기반하여 DVID(Dynamic Video Object Data Model)라는 동적 비디오 객체 데이타 모델을 제안한다. DVID는 기존의 정적 비디오 객체뿐만 아니라 사용자의 개입없이도 비디오의 내용을 비디오 데이타베이스로부터 동적으로 결정하여 보여주는 동적 비디오 객체도 함께 제공한다.Abstract A lot of research has been done on modeling video databases, but all of them can be considered as the static video data model from the viewpoint that all video data on those models are always presented according to the predefined sequences if there is no user interaction. For some video database applications which provides with up-to-date video information services such as news-on-demand, video-on-demand, digital library, internet shopping, etc., video editing is requested frequently, preferably in real time. To do this, the contents of the existing video data should be changed or new video data should be created, but on the traditional video data models such video editing works should be done manually. In order to save trouble in video editing work, this paper proposes the dynamic video object data model named DVID based on object oriented data model. DVID allows not only the static video object but also the dynamic video object whose contents are dynamically determined from video databases in real time even without user interaction.

• The Journal of the Convergence on Culture Technology
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• 제4권4호
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• pp.267-272
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• 2018

Today, SNS exists as the most influential medium. A variety of designs are being produced in the context of numerous SNS marketing designs and the increasing exposure of ads to SNS and portal sites. Recognizing the current status of sns advertising design, which is heating up more than a decade ago, we will study strategies to introduce an important part of education to be conducted in universities and the current way in which it is used and produced. Modern SNS marketing designs include promotional posters, card news, and banner ads, and are evolving into various forms and content that are combined with advertisements. In communicating or sharing information, the importance of real-time advertising product work and the saving of caustic costs are important. This requires a diversification of university education, as well as a change in quality and speed of production. When the graduates of SNS Design Production Education Development Plan and design work were carried out, they conducted a study on the education section where real-time work is possible to proceed to the industrial field. Through this research, we would like to consider the development of SNS marketing design personnel and the practical implications of training methods.

• The KIPS Transactions:PartB
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• 제16B권2호
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• pp.181-194
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• 2009

With the increased interest on the document copyright, many of researches related to the document plagiarism have been done up to now. The plagiarism problem of newspaper articles has attracted much interest because the plagiarism cases of the articles having much commercial values in market are currently happened very often. Many researches related to the document plagiarism have been so hard to be applied to the newspaper articles because they have strong real-time characteristics. So to detect the plagiarism of the articles, many human detectors have to read every single thousands of articles published by hundreds of newspaper companies manually. In this paper, we firstly sorted out the articles with high possibility of being copied by utilizing OpenAPI modules supported by web search companies such as Naver and Daum. Then, we measured the document similarity between selected articles and the original article and made the system decide whether the article was plagiarized or not. In experiment, we used YonHap News articles as the original articles and we also made the system select the suspicious articles from all searched articles by Naver and Daum news search services.

• The Korean Journal of Financial Management
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• 제26권3호
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• pp.103-138
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• 2009

In this article we examine a unique data set of intraday fair disclosure(FD) releases to shed light on market efficiency within the trading day. Specifically, this paper analyze the response of stock prices on fair disclosure disseminated in real-time through KIND(Korea Investor's Network for Disclosure) on Korea stock exchange during the period from January 2003 to September 2004. We find that the prices of stock experiences a statistically and economically significant increase beginning seconds after the fair disclosure is initially announced and lasting approximately two minutes. The stock price responds more strongly to fair disclosure on smaller firm but the response to fair disclosure on the largest firm stock is more gradual, lasting five minutes. We also examine the profitability of a short-term trading strategy based on dissemination of fair disclosure. After controlling for trading costs we find that trader who execute a trade following initial disclosure generate negative profits, but trader buying stock before initial disclosure realize statistically significant positive profit after two minute of disclosure. Summarizing overall results, our evidence supports that security prices on Korea stock exchange reflects all available information within two minutes and the Korea stock market is semi-strongly efficient enough that a trader cannot generate profits based on widely disseminated news unless he acts almost immediately.

• Journal of environmental and Sanitary engineering
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• 제18권2호
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• pp.42-51
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• 2003

Public awareness of air pollution problem has increased the need for real time air pollution information system about changes in air pollution level. The purpose of this study is to construct e-AIR, a user-friendly air pollution information system for urban air quality using GIS(geographic information system) technology for windows. GIS was ideally suited featuring a geographical characteristics(e.g., road, traffics, buildings) and very effectively used in mapping and symbolization for the distribution of the spatial/periodic pollution status(e.g., pie or column chart, graduated symbols) which can be effectively applied to a information system on the web-site. And a user interface, GUI(graphic user interface) was designed very diversely and simply enabled the users connect with e-AIR and obtain a useful information of air quality. A interpretive technique, air pollution health index(e.g., PSI, AEI) was used also which transforms complex data on measured atmospheric pollutant concentrations into a single number or set of numbers in order to make the data more understandable. Eventually the final-step of this study was to construct e-AIR based on Web GIS could be assessed anywhere if internet is available and offer a very useful information services of the air pollution to the public like a weather news.

• Journal of Korea Multimedia Society
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• 제16권12호
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• pp.1403-1412
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• 2013

In the maritime ships or airplanes, users should utilize the satellite channel in orer to use web service. However, the satellite channel is costly and does not give users satisfied response time. In the ship, the users may receive plenty of extra data when they obtain internet news. The extra data may be unnecessary image and advertise. Therefore, they should pay unnecessary data usage charges as well. In this paper, we suggest a proxy model that solves the problem of cost and speed. The proposed proxy reduces the of data through the satellite link by image and advertising blocking, caching, image re-requesting functions. It's performance was tested by a real satellite communication.

• Annual Conference on Human and Language Technology
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• 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
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• pp.132-137
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• 2018

뉴스 기반의 실시간 이슈 분석을 위해서는 실시간으로 생성되는 다중 뉴스 기사 집합을 입력으로 받아 점증적으로 군집화 하고, 각 군집별 정보를 자동으로 요약하는 기술이 필요하다. 기존에는 정적인 데이터 기반의 군집화와 요약 각각에 대한 연구는 활발히 진행되고 있지만, 실시간으로 입력되는 대량의 데이터를 위한 점증적인 군집화와 요약에 대한 연구는 매우 부족하다. 따라서 본 논문에서는 실시간으로 입력되는 대량의 뉴스 기사 집합을 분석하기 위한 점증적이고 계층적인 뉴스 군집화 및 다중 문서 요약 방법을 제안한다. 평가를 위해서 2016년 10월, 11월 두 달간의 실제 데이터를 사용 하였으며, 전문 교육을 받은 연구원들이 Precision at k 기반의 정성평가를 진행하였다. 그 결과, 자동으로 생성된 12개의 군집에서 군집 성능은 평균 66% (상위계층 $l_1$: 82%, 하위계층 $l_2$: 43%), 요약 성능은 평균 92%를 얻었다.

• International conference on construction engineering and project management
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.712-720
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• 2022

The use of social media to disseminate news and interact with project stakeholders is increasing over time in the construction industry. Such social media data can be analyzed to get useful insights of the industry such as demands of new housing construction and satisfaction of construction workers. However, there has been a limited attempts to analyze social media data related to the construction industry. The objective of this study is to collect and analyze construction related tweets to understand the overall sentiments of individuals and organizations about the construction industry. The study collected 87,244 tweets from April 6, 2020, to April 13, 2020, which had hashtags relevant to the construction industry. The tweets were then analyzed to evaluate its sentiments polarity (positive or negative) and sentiment intensity or scores (-1 to +1). Descriptive statistics were produced for the tweets and the sentiment scores were visualized in a scatterplot to show the trend of the sentiment scores over time. The results shows that the overall sentiment score of all the tweets was slightly positive (0.0365). Negative tweets were retweeted and marked as favorite by more users on average than the positive ones. More specifically, the tweets with negative sentiments were retweeted by 2,802 users on average compared to the tweets with positive sentiments (247 average retweet count). This study can potentially be expanded in the future to produce a real time indicator of the construction market industry such as the increased availability of construction jobs, improved wage rates, and recession.