• Journal of Digital Contents Society
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• v.8 no.1
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• pp.1-8
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• 2007

Recently, As the increase in interaction between the person and the person, the people plentifully use a messenger. Thus, we propose a new messenger program, we call Hellow Fellow Messenger. The hollow fellow messenger has functions of general messenger such as chatting, note exchange, friend addition. Also, hollow fellow messenger provide with special function, which find friends satisfied conditions in PDA and PC environment. So, Client can find not only friend who is register already but also friend who is the possibility of seeing a movie and can comfortably talk together and so on. For this, server sends information for users satisfied in condition from databases to client and client selects a user among received information for users. Client-server communication is implemented using MFC[1].

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.971-979
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• 2018

Currently, Virtual Reality video content is rapidly increasing in number of users due to the rapid growth of related hardware and software. Accordingly, Virtual Reality animation is also being produced in a new form by rapidly integrating with Virtual Reality technology among video contents. Currently, research on Virtual Reality animation has focused on how films are produced and how they are directed, and no research has been done to organize the pipeline for efficient VR animation production. Therefore, this study drew the characteristics of the pre-render VR animation pipeline by comparing it with the production pipeline of the existing 3D animation to produce the VR animation efficiently. Through this, we presented organic integration of production and post production processes suitable for the production of VR animations and reduced rendering time using Render Pass for efficient production.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.391-402
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• 2020

In today's era of media convergence, users can watch a drama by choosing a story like a game or enjoy a game directed like a movie. These two media material interactive storytelling, and there have been discussions about them for many years. The purposes of this study are to propose a new branch structure for interactive storytelling and find a new perspective for the method of proceeding with a branch structure. The main research targeted a game that materialized interactive storytelling best. Based on the findings, the study proposed a volume branch structure including a plot border and adjuster concept for interactive storytelling to keep the story narrative and help the users feel interactions freely. This structure can be materialized only with real-time edited videos in the game media and will be possible in the application cases of a physical engine that continues to develop and artificial intelligence that has not been introduced in games actively.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.3-16
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• 2006

Making storyboards is the process of visualizing your film script by hawing sketches of screen shots. The final output looks like a comic book version of your film without speech bubbles. It helps you imagine how your movies, animations, and game opening movies are going to look like Should I be an artist to do this work? Maybe. But if you take a look at the storyboards of Hitchcock's or Spielberg's, you will notice that they have no talents of drawing. What's important in storyboards is actor's moving routes. Thus, far the easier and faster storyboard-making, we developed a tool for making digital storyboards with simulation. Using digital storyboards, you can be more productive than ever. You can organize your ideas and create your shots with the digital storyboads more effectively and it's time-saving, too. Besides, you can export the storyboard fie to HTML format for viewing/showing on the internet, so that you can share your storyboards with your colleagues, crew and clients through the internet.

• Journal of Digital Contents Society
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• v.11 no.4
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• pp.607-614
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• 2010

History centered knowledge based story-telling project planning tool supports the process of story creation in narrative genre about history of families or individuals. Narrative fields not only include drama, mythology, legend, history but also non-verbal epics such as movie, play, ballet and opera. But as verbal epic, this research paper focuses on the family history and individual history of each household. This story-telling planning tool redevelops each genre of story-telling about family history through sampleDB and informationDB, and it is widely applicable in concreting high quality stories in both its content and value. Reduces the time of planning story-telling, and impose minimum expenses in human resources. Content about family history is one of the most the fundamental and renowned contents in Story-telling but planning tool that is easily applicable in creating such content does not exist in statue quo. In this current system lacking creative infra, this research paper seeks to provide a planning tool that public can easily utilize, and by systemizing the tool. it aims to create a creative contents tool model applicable in variety of genres.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.151-159
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• 2013

Recently, gamification has garnered high attention in various fields outside the traditional game world through the adoption of game techniques. The introduction of gamification creates an alternate reality game. It appears virtually the same as other normal games, but is able to pull down the boundary between reality and imagination. At first, this was utilized by the entertainment industry for movies, advertisements, and drama publicity. We can see examples of gamification extending into the knowledge and information contents field. The purpose of knowledge and information contents is to pursue meaning and utility rather than fun, though the introduction of game methods remains interesting. In-depth examination of the conception of an alternate reality game via gamification will lead to the understanding of progression and quality of alternate reality games in the context of knowledge and information contents. As a result, we can effectively understand not only the immediate uses but also be able to measure the potential for utilization of gamification for various fields.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.255-262
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• 2013

Useful applications for English education enable immediate conversion of mobile devices into remote wireless systems for classroom computers. Once the free software has been installed in the main computers in the classroom, using powerpoint, students can operate the computers through their mobile devices by installing Air mouse on them. By using this, the students can draw or write on the "board" to manipulate the educational resources from where they are/from their seats. The study of English language encompasses not only academic study but also language training. Until recently, the issue of the English language learning has been ridden with certain problems-instead of being a tool that facilitates communication, its main purpose has been for school grades, TOEIC, and TOEFL. This study suggests English language learning methodology using various applications such as mobile, VOD English language content, and movie scripts in implementing easy and fun English language learning activities that can be studied regularly. This is operationalized by setting a specific limit on learning and by using various media such as podcast, Apps, to increase interest, motivation, and self-directed learning in a passive learning environment.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1561-1566
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• 2017

Due to the advances in machine learning and artificial intelligence technologies, many new services have become available. Among such services, recommendation systems have already been successfully applied to commercial services and made profits as in online shopping malls. Most recommendation algorithms in commercial services are based on content analysis or explicit feedback rates as in movie recommendations. However, many online shopping malls have difficulties in content analysis or are lacking explicit feedbacks on their items, which results in no recommendation system for their items. Even for such service systems, user log data is easily available, and if recommendations are possible with such log data, the quality of their service can be improved. In this paper, we extract implicit feedback like click information for items from log data and provide a recommendation system based on the implicit feedback. The proposed system is applied to a real in-service online shopping mall.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.543-550
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• 2017

Superhero films have formed a new genre convention encompassing all the generations. Figures derived from image contents are solid figures produced by means of professional figuration skills. Possession of figures has a symbolic meaning as a medium connecting the imaginary world and real one. From this perspective, figures hold an important position as a character product derived due to market expansion of the content industry. In this context, the study, which analyzed how appraisal of outward visual elements in superhero action figures might affect consumer's purchase intention, aimed to identify their purchase patterns. For this, the study established colors, types of physical body, facial figures and motions as independent variables for appraisal of outward visual elements, and purchase intention as a dependent variable and then conducted a multiple regression analysis. As a result of the analysis, the study found that colors, types of physical body and facial figures had a positive influence on purchase intention, while motions had no significant influence.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.133-140
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• 2018

Accurate sentiment classification is an important research topic in sentiment analysis. This study suggests an efficient classification method of Korean sentiment using word2vec and ensemble methods which have been recently studied variously. For the 200,000 Korean movie review texts, we generate a POS-based BOW feature and a feature using word2vec, and integrated features of two feature representation. We used a single classifier of Logistic Regression, Decision Tree, Naive Bayes, and Support Vector Machine and an ensemble classifier of Adaptive Boost, Bagging, Gradient Boosting, and Random Forest for sentiment classification. As a result of this study, the integrated feature representation composed of BOW feature including adjective and adverb and word2vec feature showed the highest sentiment classification accuracy. Empirical results show that SVM, a single classifier, has the highest performance but ensemble classifiers show similar or slightly lower performance than the single classifier.