• Journal of Digital Contents Society
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• v.10 no.2
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• pp.177-188
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• 2009

The paper starts off with a notion that the most realistic problem in restoring cultural contents' archetype and developing contents industry based on it is the lack of understanding and production about key visual. Thus, with the premise that, in visualizing ancient fantasy as an original archetype subject material, one has to take into account design process for an actual content production, the paper aims for the suggestion of the necessity of key visual through visualization. For this, the paper made an artwork of archetype image based on literature and historical data with which to visualize fantasy elements of Goguryeo's ancient myth and tales that have high utilization value as various subject matters, such as animation and games.

• Journal of Korea Multimedia Society
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• v.7 no.10
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• pp.1452-1463
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• 2004

The requirement of automatic video summary is increasing as bi-directional broadcasting contents and various user requests and preferences for the bi -directional broadcast environment are increasing. Automatic video summary is needed for an efficient management and usage of many contents in service provider as well. In this paper, we propose a method to generate a content-based summary of linguistic educational videos automatically. First, shot-boundaries and keyframes are generated from linguistic educational video and then multiple(low-level) visual features are extracted. Next, the semantic parts (Explanation part, Dialog part, Text-based part) of the linguistic educational video are generated using extracted visual features. Lastly the XMI- document describing summary information is made based on HieraTchical Summary architecture oi MPEG-7 MDS (Multimedia I)escription Scheme). Experimental results show that our proposed algorithm provides reasonable performance for automatic summary of linguistic educational videos. We verified that the proposed method is useful ior video summary system to provide various services as well as management of educational contents.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.3-6
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• 2003

방송 서비스상의 교육용 어학 컨텐츠의 증가와 더불어 비디오 컨텐츠의 효율적인 제공, 이용 및 관리를 위한 내용 기반 요약에 대한 연구가 필요하다. 본 논문에서는 교육용 어학 비디오의 내용 기반 요약을 위한 방법을 제안한다. 디지털 비디오로부터 샷 경계를 추출한 후 각 샷을 대표하는 키프레임으로부터 MPEG-7 비주얼 특징 값들을 추출한다. 추출된 특징 값들의 다중 조합을 통해 교육용 어학 비디오의 내용 정보를 세분화하여 요약 결과를 생성한다. 외국어 회화 컨텐츠에 대해 실험하여 알고리즘의 효용성을 검증하였으며. 제안한 방법은 교육용 방송 컨텐츠의 다양한 서비스 제공 및 관리론 위한 비디오 요약 시스템에 효율적으로 이용될 것이다.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.96-106
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• 2002

We introduce a novel scheme to characterize and index events in TV golf programs using MPEG-7 descriptors. Our goal is to identify and localize the golf events of interest to facilitate highlight-based video indexing and summarization. In particular, we analyze multiple (low-level) visual features using domain-specific model to create a perceptual relation for semantically meaningful(high-level) event identification. Furthermore, we summarize a TV golf program with TV-Anytime segmentation metadata, a standard form of an XML-based metadata description, in which the golf events are represented by temporally localized segments and segment groups of highlights. Experimental results show that our proposed technique provides reasonable performance for identifying a variety of golf events.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.219-239
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• 2017

As IT technology develops rapidly and the personal dissemination of smart devices increases, video material is especially used as a medium of information transmission among audiovisual materials. Video as an information service content has become an indispensable element, and it has been used in various ways such as unidirectional delivery through TV, interactive service through the Internet, and audiovisual library borrowing. Especially, in the Internet environment, the information provider tries to reduce the effort and cost for the processing of the provided information in view of the video service through the smart device. In addition, users want to utilize only the desired parts because of the burden on excessive network usage, time and space constraints. Therefore, it is necessary to enhance the usability of the video by automatically classifying, summarizing, and indexing similar parts of the contents. In this paper, we propose a method of automatically segmenting the shots that make up videos by analyzing the contents and characteristics of language education videos and indexing the detailed contents information of the linguistic videos by combining visual features. The accuracy of the semantic based shot segmentation is high, and it can be effectively applied to the summary service of language education videos.