• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.661-683
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• 2001

There is a rapid increase in the use of digital video information in recent years, it becomes more important to manage video databases efficiently. The development of high speed data network and digital techniques has emerged new multimedia applications such as internet broadcasting, Video On Demand(VOD) combined with video data processing and computer. Video database should be construct for searching fast, efficient video be extract the accurate feature information of video with more massive and more complex characteristics. Video database are essential differences between video databases and traditional databases. These differences lead to interesting new issues in searching of video, data modeling. So, cause us to consider new generation method of database, efficient retrieval method of video. In this paper, We propose the construction and generation method of the video database based on contents which is able to accumulate the meaningful structure of video and the prior production information. And by the proposed the construction and generation method of the video database implemented the video database which can produce the new contents for the internet broadcasting centralized on the video database. For this production, We proposed the video indexing method which integrates the annotation-based retrieval and the content-based retrieval in order to extract and retrieval the feature information of the video data using the relationship between the meaningful structure and the prior production information on the process of the video parsing and extracting the representative key frame. We can improve the performance of the video contents retrieval, because the integrated video indexing method is using the content-based metadata type represented in the low level of video and the annotation-based metadata type impressed in the high level which is difficult to extract the feature information of the video at he same time.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.247-271
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• 2018

This research aims to explore the possibility of open source software for creating digital archives of small organizations or ordinary people that run short of budget and professional workforce and may easily create digital archives without the help of a professional. To do so, this study suggested three open source software, AtoM, ArchivesSpace, and Omeka, for such use, and conducted usability tests with system designers and users who had no experience with open source software. The results of the usability testing was that AtoM, which was developed to support the records management system and user services of small organizations, proved satisfactory to both system designers and users. ArchivesSpace had too many required fields with it to create archives. Omeka greatly satisfied the system designers because it is possible to create archives with simple inputs on the item level. However, Omeka, which focuses on exhibition functions while neglecting search functions, registered low satisfaction among the users. Based on the results of the usability testing, this study suggested selection criteria of open source software for small organizations or ordinary individuals, namely, purposes, license, characteristics, service creation environment, advantages and disadvantages, functions, metadata, file type, and interoperability.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.433-455
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• 2012

This study examined research data management practices from the perspectives of university researchers. A survey was conducted for principal investigators of projects in universities selected to be funded by National Research Foundation in 2010 and 2011. Predicated on the analysis of 131 survey responses, there was a great difference in types of research data between Humanities & Social Science fields and Science, Medicine and Engineering fields. Most respondents added value of their data by linking to other types of information or combining data from other sources. For storing data, PC or portable media were generally employed, and around 80% of respondents saw their data having a useful life under 10 years. Data was shared within research team and with outside researchers who requested data. The percentage of respondents who have reused data was higher than that of respondents who have shared data. In order to obtain data for reuse, the majority of respondents drew data from published articles, or contacted data creators. In most cases, mechanisms for managing data did not exist in projects or universities where respondents belong. Since the level of satisfaction with long-term preservation and metadata description of research data was found to be low, it was necessary to develop data archiving services to support the data management procedures.