• Title/Summary/Keyword: 웹 드라마

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Information Structure of Online Video Platform Focused on Web-Drama Case (온라인 동영상 시청 플랫폼의 정보구조 탐색 - 웹드라마 사례를 중심으로)

  • Cha, Dong-Min;Sung, Junghwan
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.135-143
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    • 2019
  • Purpose of this study is enhancing usability of online video platform by analyze link-depth and advertisement frequency. In this study, researcher checked market share of video platform which publishing web-drama, and compare their link-depth and advertisement frequency. As a result, access to the latest content has two to three link-depth. So it does not worsen usability. but, if contents doesn't show on main page or search result, it requires more than five to six steps. Image advertisement show up more than twice on every platform. 'Youtube' and 'Naver TV' show up pre-roll video advertisement in video player before offering contents. In this video platform information structure, directory searching needs high link-depth level and advertisement frequency. It will increase user's bounce rate and decrease return visit rate. So researcher suggests prototype using drop-down menu to reduce link-depth and enhance information structure.

A drama recommendation system using collaborative filtering in R (R에서 협업 필터링을 이용한 드라마 추천 시스템)

  • Lim, Sung-Hun;Baek, soo bin;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.287-290
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    • 2019
  • 종편 tv채널 증가와 모바일, 웹 시장의 발달로 엄청난 많은 양의 드라마가 양산되고 있다. 또한, 현대인들은 복잡한 현대의 생활 구조 때문에 드라마를 제 시간에 시청하거나 자신의 취향에 맞는 드라마를 골라서 시청하는 것은 매우 어렵다. 따라서, 본 논문에서는 R에서 협업 필터링 방법을 이용하여 사용자가 자신에게 가장 적합한 드라마를 추천하는 시스템을 제안한다.

A study on program development for character web drama production (캐릭터 웹드라마 제작을 위한 프로그램 개발 연구)

  • Hyun-soo Lee;Min-Ha Kim;Ji-Won Seo;Sung-Jin Jo;Jong-Won Lee;Jung-Yi Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.591-596
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    • 2023
  • This study developed a program that can produce videos easily and conveniently, focusing on teenage media producers. Through user research, we identified the needs and problems of teenage producers, and implemented a character customization function desired by users and an emotion and action recommendation system using GPT. In the rendering process, the final image was created by combining audio and video using OpenCV and FFmpeg. Teenage users who do not have expertise in video production can customize web drama characters through a simple interface and receive recommendations for emotions and actions with the help of GPT. The program of this study is expected to be a tool that can help teenage users who do not have expertise in editing and directing to produce high-quality videos, lower the entry barrier to video production, and contribute to the development of the one-person media industry. do. In the future, we plan to provide a video production environment considering mobile or vertical resolution versions.

Sentiment Analysis Model with Semantic Topic Classification of Reviews (리뷰의 의미적 토픽 분류를 적용한 감성 분석 모델)

  • Lim, Myung Jin;Kim, Pankoo;Shin, Ju Hyun
    • Smart Media Journal
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    • v.9 no.2
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    • pp.69-77
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    • 2020
  • Unlike the past, which was limited to terrestrial broadcasts, many dramas are currently being broadcast on cable channels and the Internet web. After watching the drama, viewers actively express their opinions through reviews and studies related to the analysis of these reviews are actively being conducted. Due to the nature of the drama, the genre is not clear, and due to the various age groups of viewers, reviews and ratings from other viewers help to decide which drama to watch. However, since it is difficult for viewers to check and analyze many reviews individually, a data analysis technique is required to automatically analyze them. Accordingly, this paper classifies the topics of reviews that have an important influence on drama selection and reclassifies them into semantic topics according to the similarity of words. In addition, we propose a model that classifies reviews into sentences according to semantic topics and sentiment analysis through sentiment words.

Korea Tourism Information Webpage for Hallyu Tourists -Kuseok Kuseok- (한류 관광객을 위한 한국 관광 정보 웹 페이지 -쿠석쿠석-)

  • Jeong, Yerin;Ju, Hajeong;Jiang, Bingbin;Park, Eunju;Lim, Hankyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.415-418
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    • 2017
  • 한류 열풍이 확산되면서 한류 관광을 목적으로 하는 한류 관광객이 증가하고 있는 추세이다. 본 논문에서는 이러한 추세에 따라 한류 관광객을 위한 한류 관광 정보 제공 웹페이지를 설계하고 구현하였다. 영화, 드라마, 예능 등 작품을 키워드로 하여 출연 연예인, 촬영 장소, 촬영 음식에 관한 정보를 제공하여 한류 관광에 최적화된 정보를 제공하도록 하였다. 또한, 자유 게시판은 관광객들 간의 자유로운 소통과 교류를 통해서 다양한 정보를 주고받을 수 있는 기능을 할 수 있도록 설계하였다.

Step-by-step Approach for Effective Korean Unknown Word Recognition (한국어 미등록어 인식을 위한 단계별 접근방법)

  • Park, So-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.369-372
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    • 2009
  • Recently, newspapers as well as web documents include many newly coined words such as "mid"(meaning "American drama" since "mi" means "America" in Korean and "d" refers to the "d" of drama) and "anseup"(meaning "pathetic" since "an" and "seup" literally mean eyeballs and moist respectively). However, these words cause a Korean analyzing system's performance to decrease. In order to recognize these unknown word automatically, this paper propose a step-by-step approach consisting of an unknown noun recognition phase based on full text analysis, an unknown verb recognition phase based on web document frequency, and an unknown noun recognition phase based on web document frequency. The proposed approach includes the phase based on full text analysis to recognize accurately the unknown words occurred once and again in a document. Also, the proposed approach includes two phases based on web document frequency to recognize broadly the unknown words occurred once in the document. Besides, the proposed model divides between an unknown noun recognition phase and an unknown verb recognition phase to recognize various unknown words. Experimental results shows that the proposed approach improves precision 1.01% and recall 8.50% as compared with a previous approach.

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Management System of Characters for Storytelling by using Ontology (온톨로지를 이용한 스토리텔링 캐릭터 관리 시스템)

  • Ha, Yan
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.107-114
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    • 2008
  • In this paper, a management system of characters and roles for storytelling that is used for drama is proposed with ontology which is a key factor of semantic web. While there are few tools domestically, usage for storytelling with authoring tools is increasing outside. Especially, a study for the management system of characters. roles and casting is not performed. This study proposes a system to control a series of works related with them. It contributes to poor domestic environment of writing, which makes it systematically. Also, it applies semantic web technology by defining ontology.

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A Study on Storytelling Characteristic of Super-compressed Web Drama "72 seconds" (초압축형 웹드라마 <72초>의 스토리텔링 특성 연구)

  • Jung, Wonsik
    • Journal of Korea Multimedia Society
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    • v.20 no.7
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    • pp.1148-1155
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    • 2017
  • This study examined the storytelling characteristics of the super-compressed web drama "72 seconds". By analyzing all seasonal episodes of "72 seconds" and applying the various storytelling methodologies and related theories, this paper derived the main storytelling characteristics of "72 seconds" as follows. First, through the composition of the microscopic non-plot, the story value of empathy and fun is maximized, even though there is no dramatic composition compared to the general movie or drama. Second, by the specialization of everyday life, it leads to the transition from everyday experience to the new context. In other words, it provides a consensus through the cognitive expansion and interest by unfamiliarity of the ordinary experience to the audience. Third, based on the characteristics of super-compression and short theme, it utilizes fully stylistic narration like rapping. This makes the audience feel novel and further enhances the branding effect of content. And finally, based on various hybridity and variation, it uses remediation actively in all respects, especially comedy genre and comic factor.

Analysis of Scenario and Story Representational Structure for Story-based Content Creation (스토리 기반 콘텐츠 제작을 위한 시나리오 분석 및 스토리 표현 구조)

  • Lee, Hyejoo;Lee, Suk-Hwan;Kwon, Ki-Ryong;Park, Yun Kyoung;Park, Kyoung Deok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1553-1554
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    • 2015
  • 웹 상에 축척된 방대한 콘텐츠를 활용하기 위해 사용자가 입력한 스토리에 맞는 콘텐츠를 검색하고 제공하여 사용자가 자유로이 콘텐츠를 제작할 수 있는 서비스를 제공하고자 하는 경우, 컴퓨터가 이해 가능한 구조로 스토리를 입력할 수 있어야 한다. 본 논문에서는 영화, 드라마와 같은 영상물을 제작하기 위한 기초가 되는 시나리오(Scenario)를 분석하여 스토리 표현 구조를 제안한다.

A Study on Content Characteristics of Hyperrealism Web Drama (하이퍼리얼리즘형 웹드라마 <좋좋소>의 콘텐츠 특성 연구)

  • Lee, Jun Seok;Jung, Won Sik
    • Journal of Korea Multimedia Society
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    • v.25 no.1
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    • pp.114-123
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    • 2022
  • Korean web drama are undergoing changes before and after the popularization of the OTT platform. The previous web drama were mainly aimed at teenagers, with school content as a genre feature, and the active casting of new idols and the use of B-grade emotions as production characteristics. After the popularization of OTT represented by YouTube and Netflix, there are signs of significant change. This study examined the hyperrealistic content characteristics of the web drama , which can be the center of the change. Through this, it was considered that has a greatly changed aspect from previous web dramas through stereoscopic typification, emphasis on detailed expression, active use of experiential narrative characteristics, and a new media creator-centered production method.