• Journal of KIISE:Computing Practices and Letters
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• v.7 no.5
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• pp.416-428
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• 2001

In order to build a news archive system. the news video stream should be first segmented into several articles, ad their contents are abstracted effectively. This abstraction helps the users to understand the contents of the article without playing the whole video stream. This paper proposes a new article boundary detection scheme for the news video streams together with a new news article abstraction scheme using the shot types of the news video data. The shots in the news video are classified into anchor person shots, interview shots, speech shots, reporting shots, graphic shots, and others. Since the news article starts with an anchor shot whose duration is relatively longer than other shots with special screen structure, the article boundary in detected by the computing the length of the shot and checking the screen structure in the proposed scheme. For the effective abstraction of the article video, the graphic image located in the right-top of the anchor shot frames is primarily used in the proposed abstraction scheme since it is the abstraction of the article made by the producer of the news according to its contents so that it contains a lot of meaningful information. The key frames of the other shots except interview and report shots are also used to abstract the contents of the articles in the proposed scheme. Upon experimental results, the precision and recall values of the proposed article boundary detection scheme could be 92% and 96%, respectively. This paper also presents a design and implementation of a prototype news archive system on WWW that consists of an indexing tool, an authoring tool, a database for meta-data of the news, and a browsing tool.

• Journal of Agricultural Extension & Community Development
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• v.13 no.1
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• pp.99-121
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• 2006

The purpose of the study was to analyze agricultural and rural news in mass media reporting. This study analyzed the representation of agricultural and rural news of Korean Broadcasting System (KBS), established in 1947 as a public service broadcaster and the Seoul Broadcasting System (SBS), established in 1990 as a private service broadcaster in Korea. There has been criticisms of isolated and anecdotal reporting of agricultural and rural issues, thus, leading to negative public perception mainly influenced by mass media even though there has been increases in the publicity activities regards agricultural policies in the KBS and SBS broadcasting news. This study was designed to reveal the merits of the preceding criticisms. For this purpose, a total of 437 news items issued between September 2004 and August 2005 were analyzed via content and framing analysis research methodologies. The major findings and conclusions of the study were as follows: 1. Content analysis of agricultural and rural news revealed that the lack of relative quantity and 'in-depth analysis' in agricultural reporting and the thematic concentration on negative news and flash events were the most prominent characteristics of Korean broadcasting news. 2. The quantity of agricultural news was relatively insufficient and qualitatively superficial and stereotyped lacking in comprehensive understanding of agricultural and rural issues and inclined toward flash events and crisis-oriented. Based on the findings and conclusions, following recommendations are offered; 1) Agricultural institutions should consider changing the images of rural society and farmers implementing agricultural and rural policies in the future, and perception of the general public should be considered in reporting agricultural and rural news. 2) Further research should be conducted to provide practical implications for the broadcast media on the agricultural information system.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.6
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• pp.871-879
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• 2010

In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.

• Journal of Computing Science and Engineering
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• v.3 no.3
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• pp.165-180
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• 2009

The HKIB, or Hankookilbo, test collections are two archives of Korean newswire stories manually categorized with semi-hierarchical or hierarchical category taxonomies. The base newswire stories were made available by the Hankook Ilbo (The Korea Daily) for research purposes. At first, Chungnam National University and KISTI collaborated to manually tag 40,075 news stories with categories by semi-hierarchical and balanced three-level classification scheme, where each news story has only one level-3 category (single-labeling). We refer to this original data set as HKIB-40075 test collection. And then Yonsei University and KISTI collaborated to select 20,000 newswire stories from the HKIB-40075 test collection, to rearrange the classification scheme to be fully hierarchical but unbalanced, and to assign one or more categories to each news story (multi-labeling). We refer to this modified data set as HKIB-20000 test collection. We benchmark a k-NN categorization algorithm both on HKIB-20000 and on HKIB-40075, illustrating properties of the collections, providing baseline results for future studies, and suggesting new directions for further research on Korean text categorization problem.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2524-2532
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• 1999

In this paper, we present a new buffer pool management scheme designed for video type news objects to build a cost-effective News On Demand storage server for serving users requests beyond the limitation of disk bandwidth. In a News On Demand Server where many of users request for video type news objects have to be serviced keeping their playback deadline, the maximum numbers of concurrent users are limited by the maximum disk bandwidth the server provides. With our proposed buffer cache management scheme, a requested data is checked to see whether or not it is worthy of caching by checking its average arrival interval and current disk traffic density. Subsequently, only granted news objects are permitted to get into the buffer pool, where buffer allocation is made not on the block basis but on the object basis. We evaluated the performance of our proposed caching algorithm through simulation. As a result of the simulation, we show that by using this caching scheme to support users requests for real time news data, compared with serving those requests only by disks, 30% of extra requests are served without additional cost increase.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.183-205
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• 2005

The Information of Technology Trend is one of the critical factors for research activities. In addition, this information tremendously affects the decision-making process of Science and Technology Policy. However, metadata of this information has not gain much attention so far. This research suggests metadata element and encoding scheme that is based on NewsML and using metadata of domestic Information of Technology Trend service system. The result of this research provides the basic resources for developing standard metadata of Information of Technology Trend which is suitable for domestic information technology situation.

• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.559-568
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• 2007

Anchor-person scene detection is of significance for video shot semantic parsing and indexing clues extraction in content-based news video indexing and retrieval system. This paper proposes an efficient algorithm extracting anchor ranges that exist in sports news video for unit structuring of sports news. To detect anchor person scenes, first, anchor person candidate scene is decided by DCT coefficients and motion vector information in the MPEG4 compressed video. Then, from the candidate anchor scenes, image processing method is utilized to classify the news video into anchor-person scenes and non-anchor(sports) scenes. The proposed scheme achieves a mean precision and recall of 98% in the anchor-person scenes detection experiment.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.191-194
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• 2001

인터넷이 빠르게 보급됨에 따라 많은 멀티미디어 컨텐츠를 접할 수 있게 되었다. 이에 따라 사용자들이 쉽게 멀티미디어 컨텐츠에 접근하게 하기 위해 여러 가지 방법으로 이를 재구성하여 데이터베이스를 만드는 연구가 활발하게 진행되고 있다. 이러한 추세에 발맞추어 MEPG-7 표준이 진행 중에 있고, 사용자들이 대용량의 멀티미디어 컨텐츠에 대한 접근을 용이하게 하기 위해 멀티미디어 요약과 같은 기법들이 표준화되고 있다. 본 논문에서는 MPEG-7에 제안된 충실도 (fidelity) 기술법(description scheme)을 이용하여 뉴스를 효과적으로 요약할 수 있는 방법에 대해 제안한다.

• ETRI Journal
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• v.24 no.1
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• pp.1-11
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• 2002

A video summary abstracts the gist from an entire video and also enables efficient access to the desired content. In this paper, we propose a novel method for summarizing news video based on multimodal analysis of the content. The proposed method exploits the closed caption data to locate semantically meaningful highlights in a news video and speech signals in an audio stream to align the closed caption data with the video in a time-line. Then, the detected highlights are described using MPEG-7 Summarization Description Scheme, which allows efficient browsing of the content through such functionalities as multi-level abstracts and navigation guidance. Multimodal search and retrieval are also within the proposed framework. By indexing synchronized closed caption data, the video clips are searchable by inputting a text query. Intensive experiments with prototypical systems are presented to demonstrate the validity and reliability of the proposed method in real applications.