• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1743-1749
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• 2015

As smartphones are rapidly supplied, users can easily access video contents anywhere, anytime. So recently, demands for the ability to create one's own mash-up video have been increasing and various video mash-up programs appear to reflect those needs. But, because most existing video mash-up programs can mash up only stored video files, the ability to mash up many videos is limited for smartphones that have restricted memory. In this paper, we have developed a video mash-up application that can easily mash up not only stored videos, but also videos found by chance over the network to make one's own videos.

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.525-537
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• 2016

In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.41-49
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• 2011

This paper introduces a new search model which can retrieve information instantly and easily about a given search word on Internet and control search spaces diversely. In the existing web searches, because the user has to stop his work, run web browsers, connect to special internet sites, and type the search word by keyboard. it is a long way and not a simple way. Also the search result is too much. The user suffers difficulties of multiple searches for different categories such as dictionary, image, video clips, etc. The software implemented in this paper enables for the user to select search word simply at any documents on the screen and make search started by simply pressing CRTL key and left button of the mouse simultaneously. The software is a mash up style using the Open API which is provided by a web site and can be freely available in any other sites. By calling different Open APIs of several web sites, the mash-up software can integrate search functions of many different sites. We evaluate that the software implemented in this paper will be a good reference of mash-up as one with characteristics of easy and instant search, simple result, diversity of search category, and scalability of search functions.