• Title/Summary/Keyword: Video Advertising

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Architecture_Speaking in Colors

  • Kim, Tae-Eun
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.167-176
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    • 2019
  • Building skins are expanding even beyond theirfunctions as a simple boundary between the exterior and interior and into the realm of linguistic functions thanks to the development of media art. LED has been used as material on outer walls following the advancement of building materials, so the outerskins of large buildings are evolving into a messenger of language capable of communication. In big cities, buildings send out video images to enable communication between people and architecture, which plays a huge role in determining the identity of a building beyond simple advertising. Such media fa?ade technologies can be understood based on the concept of outerskin change, which refers to the idea that animals change the colors or textures of their skins to show their various states. In addition, various message delivery functions in human clothes should be included in such a discussion. We need to research on the possibilities of seeing media facades for their information delivery function and expanding them into information delivery between buildings as well as just between buildings and people.

Effects of Facebook Advertisement Message's Convergence Type and SNS Trait on Brand Attitude, Purchasing Intention (페이스북 광고메시지의 융합형태와 SNS속성이 브랜드태도 및 구매의도에 미치는 영향)

  • Jeong, Chang-Jun
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.187-201
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    • 2018
  • Three types of Ad message convergence, A Letter, B Letter+Photo, C Letter+Photo+Video on the Facebook advertising were researched. For this research, three types of sample advertisements were tested on the 230 subjects. And the H1 - How do three types of advertisements differ on the SNS main trait, H2 - Among those Informativity, Reliablity, Playfulness, Intractivity as the SNS main trait, what is the more powerful factor on the brand attitude / Purchase Intention. For this research the ANOVA, Scheffe, Regression Analysis was used. As a result, H1 - The effect power of Playfulness and Interactivity on the three types of Ad message convergence ranked as "A

Course recommendation system using deep learning (딥러닝을 이용한 강좌 추천시스템)

  • Min-Ah Lim;Seung-Yeon Hwang;Dong-Jin Shin;Jae-Kon Oh;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.193-198
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    • 2023
  • We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.

Understanding User Motivations and Behavioral Process in Creating Video UGC: Focus on Theory of Implementation Intentions (Video UGC 제작 동기와 행위 과정에 관한 이해: 구현의도이론 (Theory of Implementation Intentions)의 적용을 중심으로)

  • Kim, Hyung-Jin;Song, Se-Min;Lee, Ho-Geun
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.125-148
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    • 2009
  • UGC(User Generated Contents) is emerging as the center of e-business in the web 2.0 era. The trend reflects changing roles of users in production and consumption of contents on websites and helps us to understand new strategies of websites such as web portals and social network websites. Nowadays, we consume contents created by other non-professional users for both utilitarian (e.g., knowledge) and hedonic values (e.g., fun). Also, contents produced by ourselves (e.g., photo, video) are posted on websites so that our friends, family, and even the public can consume those contents. This means that non-professionals, who used to be passive audience in the past, are now creating contents and share their UGCs with others in the Web. Accessible media, tools, and applications have also reduced difficulty and complexity in the process of creating contents. Realizing that users create plenty of materials which are very interesting to other people, media companies (i.e., web portals and social networking websites) are adjusting their strategies and business models accordingly. Increased demand of UGC may lead to website visits which are the source of benefits from advertising. Therefore, they put more efforts into making their websites open platforms where UGCs can be created and shared among users without technical and methodological difficulties. Many websites have increasingly adopted new technologies such as RSS and openAPI. Some have even changed the structure of web pages so that UGC can be seen several times to more visitors. This mainstream of UGCs on websites indicates that acquiring more UGCs and supporting participating users have become important things to media companies. Although those companies need to understand why general users have shown increasing interest in creating and posting contents and what is important to them in the process of productions, few research results exist in this area to address these issues. Also, behavioral process in creating video UGCs has not been explored enough for the public to fully understand it. With a solid theoretical background (i.e., theory of implementation intentions), parts of our proposed research model mirror the process of user behaviors in creating video contents, which consist of intention to upload, intention to edit, edit, and upload. In addition, in order to explain how those behavioral intentions are developed, we investigated influences of antecedents from three motivational perspectives (i.e., intrinsic, editing software-oriented, and website's network effect-oriented). First, from the intrinsic motivation perspective, we studied the roles of self-expression, enjoyment, and social attention in forming intention to edit with preferred editing software or in forming intention to upload video contents to preferred websites. Second, we explored the roles of editing software for non-professionals to edit video contents, in terms of how it makes production process easier and how it is useful in the process. Finally, from the website characteristic-oriented perspective, we investigated the role of a website's network externality as an antecedent of users' intention to upload to preferred websites. The rationale is that posting UGCs on websites are basically social-oriented behaviors; thus, users prefer a website with the high level of network externality for contents uploading. This study adopted a longitudinal research design; we emailed recipients twice with different questionnaires. Guided by invitation email including a link to web survey page, respondents answered most of questions except edit and upload at the first survey. They were asked to provide information about UGC editing software they mainly used and preferred website to upload edited contents, and then asked to answer related questions. For example, before answering questions regarding network externality, they individually had to declare the name of the website to which they would be willing to upload. At the end of the first survey, we asked if they agreed to participate in the corresponding survey in a month. During twenty days, 333 complete responses were gathered in the first survey. One month later, we emailed those recipients to ask for participation in the second survey. 185 of the 333 recipients (about 56 percentages) answered in the second survey. Personalized questionnaires were provided for them to remind the names of editing software and website that they reported in the first survey. They answered the degree of editing with the software and the degree of uploading video contents to the website for the past one month. To all recipients of the two surveys, exchange tickets for books (about 5,000~10,000 Korean Won) were provided according to the frequency of participations. PLS analysis shows that user behaviors in creating video contents are well explained by the theory of implementation intentions. In fact, intention to upload significantly influences intention to edit in the process of accomplishing the goal behavior, upload. These relationships show the behavioral process that has been unclear in users' creating video contents for uploading and also highlight important roles of editing in the process. Regarding the intrinsic motivations, the results illustrated that users are likely to edit their own video contents in order to express their own intrinsic traits such as thoughts and feelings. Also, their intention to upload contents in preferred website is formed because they want to attract much attention from others through contents reflecting themselves. This result well corresponds to the roles of the website characteristic, namely, network externality. Based on the PLS results, the network effect of a website has significant influence on users' intention to upload to the preferred website. This indicates that users with social attention motivations are likely to upload their video UGCs to a website whose network size is big enough to realize their motivations easily. Finally, regarding editing software characteristic-oriented motivations, making exclusively-provided editing software more user-friendly (i.e., easy of use, usefulness) plays an important role in leading to users' intention to edit. Our research contributes to both academic scholars and professionals. For researchers, our results show that the theory of implementation intentions is well applied to the video UGC context and very useful to explain the relationship between implementation intentions and goal behaviors. With the theory, this study theoretically and empirically confirmed that editing is a different and important behavior from uploading behavior, and we tested the behavioral process of ordinary users in creating video UGCs, focusing on significant motivational factors in each step. In addition, parts of our research model are also rooted in the solid theoretical background such as the technology acceptance model and the theory of network externality to explain the effects of UGC-related motivations. For practitioners, our results suggest that media companies need to restructure their websites so that users' needs for social interaction through UGC (e.g., self-expression, social attention) are well met. Also, we emphasize strategic importance of the network size of websites in leading non-professionals to upload video contents to the websites. Those websites need to find a way to utilize the network effects for acquiring more UGCs. Finally, we suggest that some ways to improve editing software be considered as a way to increase edit behavior which is a very important process leading to UGC uploading.

A Narrative Strategy of Storytelling Advertising Videos: Heineken's Case

  • Byun, Chan-Bok
    • Culinary science and hospitality research
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    • v.22 no.1
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    • pp.9-18
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    • 2016
  • The purpose of this paper was to explore the narrative strategy of storytelling advertisement videos for a beer brand Heineken. Heineken was one of the most active advertisers who had made very impressive ad videos. The author selected five story driven advertisement videos which had been most frequently watched by Internet viewers. Those were "The Insider", "Odyssey 2011", "Heineken lip gross", "Italy Activation Milan AC vs. Real Madrid", "the Match". The five selected videos have 90 second running time. The target videos were repeatedly watched and the expected key image cuts and key verbal copies were captured as well. To categorize the narrative structure and key copies of each video, Fog, Budtz & Yakaboylu's four element model of storytelling and Gustav Freytag's three act structure or five stage model of a plot were exploited as underlying theories. Most of the ad videos had clear boundary between or among the stages of the plot and used emotional appeals including humor and sexual appeals. This paper found that the target videos used visual rhetorics to enhance the viewers' persuasion and comprehension. It also revealed that the target videos took advantage of football match as an emotional engagement to get ad viewers closely banded with Heineken.

Character Floating Hologram using Detection of User's Height and Motion by Depth Image (깊이 영상으로 사용자 키 검출 및 동작감지를 사용한 캐릭터 플로팅 홀로그램)

  • Oh, KyooJin;Han, DaeHyun;Kwon, SoonKak
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.4
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    • pp.33-40
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    • 2018
  • With the development of computer and video technology, a lot of contents are being produced as digital media methods to provide are being diversified and the intrest in digital media increases. Such contents are actively researched using human motion and user's information through camera or controller. Contents using user's information can be exposed to various people in public places and used as an advertisement. This paper proposes the character floating hologram system that is implemented using detection of user's height and motion. The purposed system detects user's height and motion from depth images and creates corresponding character from the detected data. Then it is represented using a floating hologram device. This system can be used for marketing, advertising and exhibition events using user information.

Study of Relation Between Consumers' Advertisement Attitude and Need for Cognition for IoT-Implemented Advertisement (사물인터넷이 구현된 광고의 소비자 인지욕구에 따른 광고태도 연구)

  • Lee, Jihwa;Cho, Sae-Hong
    • Journal of Digital Contents Society
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    • v.16 no.1
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    • pp.165-172
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    • 2015
  • This research has been conducted to know the effect of advertisement according to consumer's need for cognition in the advertisement which is realized technique of the Internet of Things(IoT). The researchers distributed questionnaires and video advertisement, which is realized by using IoT technologies, to university students in the capital area after simple orientation about IoT advertisement. The result was that people who has high consumer's need for cognition showed more positive attitude to advertisement and it was statistically meaningful. As a result, the research could draw a conclusion that people have different attitude to advertisement that is realized using IoT technologies based on the consumer's need for cognition.

A Study on the Predictive Analytics Powered by the Artificial Intelligence in the Movie Industry

  • Song, Minzheong
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.72-83
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    • 2021
  • The use of the predictive analytics (PA) powered by the artificial intelligence (AI) is more important in the movie sector during the COVID-19 pandemic, because Hollywood witnessed the impact of the 'Netflix Effect' and began to invest in data and AI. Our purpose is to discover a few cases of the AI centered PA in the movie industry value chain based on five objectives of PA: Compete, grow, enforce, improve, and satisfy. Even if movie companies' interest is to predict future success for competing with over-the-tops (OTTs) at a first glance, it is observed, once they start to use the PA with the AI, they try to utilize the enhanced PA platforms for remaining four objectives. As a result, ScriptBook, Vault, Pilot, Cinelytic and Merlin Video (Merlin) are use cases for the objective 'compete.' Movio of Vista Group International and Datorama of Salesforce are use cases for the objective 'grow.' Industrial Light & Magic (ILM) and Geena Davis Institute on Gender in Media (GDI) with Disney are use cases for the objective 'enforce.' Watson, Benjamin, and Greenlight Essential are use cases for the objective 'improve.' Disney Research (DR) with Simon Fraser University and California Institute of Technology is the use case for the objective 'satisfy.'

A Study on Effectiveness of Healthcare Campaign According to Types of Media - Focused on Printed Media and Video (매체 유형에 따른 헬스케어 커뮤니케이션 캠페인 효과 분석 - 인쇄물과 영상 미디어 중심으로 -)

  • Bae, Soonhan;Lee, Jisoo;Choi, Jaeyoung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.4
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    • pp.123-132
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    • 2020
  • With increasing social interest in health and health promotion, the government and many organizations are conducting various health campaigns for the public. The public health campaign is aimed at protecting the people from the dangers of disease and contributing to a healthy life and also help establishing a healthy attitude and changing behavior as well. In addition, many researches have been carried out in order to enhance the advertising effect of campaigns aimed at forming preventive attitudes and to verify it by applying many theories. However, as a result, there is a significant lack of research regarding analysis of differences in the effectiveness of the campaign by media. This study is to analyze the effect of health campaign by the type of media which published health campaign advertisements that can affect prevention attitude. To meet the purpose of this study, The 15 print media were to examine the impact of media characteristics and types on participation in campaigns for health campaigns. Through this, we will present the role of the media as an efficient channel to encourage the formation and participation of the health attitude of campaign advertisements, and present significant implications in the selection of optimal media and the execution of campaign budgets.

Meta's Metaverse Platform Design in the Pre-launch and Ignition Life Stage

  • Song, Minzheong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.121-131
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    • 2022
  • We look at the initial stage of Meta (previous Facebook)'s new metaverse platform and investigate its platform design in pre-launch and ignition life stage. From the Rocket Model (RM)'s theoretical logic, the results reveal that Meta firstly focuses on investing in key content developers by acquiring virtual reality (VR), video, music content firms and offering production support platform of the augmented reality (AR) content, 'Spark AR' last three years (2019~2021) for attracting high-potential developers and users. In terms of three matching criteria, Meta develops an Artificial Intelligence (AI) powered translation software, partners with Microsoft (MS) for cloud computing and AI, and develops an AI platform for realistic avatar, MyoSuite. In 'connect' function, Meta curates the game concept submitted by game developers, welcomes other game and SNS based metaverse apps, and expands Horizon Worlds (HW) on VR devices to PCs and mobile devices. In 'transact' function, Meta offers 'HW Creator Funding' program for metaverse, launches the first commercialized Meta Avatar Store on Meta's conventional SNS and Messaging apps by inviting all fashion creators to design and sell clothing in this store. Mata also launches an initial test of non-fungible token (NFT) display on Instagram and expands it to Facebook in the US. Lastly, regarding optimization, especially in the face of recent data privacy issues that have adversely affected corporate key performance indicators (KPIs), Meta assures not to collect any new data and to make its privacy policy easier to understand and update its terms of service more user friendly.