• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.312-316
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• 2006

Todays many image digital media are in existence. Image digital media are connecting communication closely between receiver and transmitter. Development of image digital media enabled intensive image communication through internet and communicative media. Development of these image digital media brought visual information transmission and time reduction. Image digital media is connecting producers and consumers as indirect intermeditation called advertisement. Development of image digital media made field called motion graphic. Development of motion graphic made a lot of image technique and effect to enable. These ads. images are also operating or performing sensitive-communication by stimulating desire of consumers. An investigator in this study will be in search of an effect and an operation that motion graphic as a field of image expression technique gives insentive communication through an intance investigation.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.507-519
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• 2021

This paper attempts to explore advertising factors that affect TikTok advertising effectiveness by identifying motivations to use a short-form video social media platform, TikTok and further looking at perceptions of and attitudes toward TikTok advertising. The results of in-depth interviews with 20s-30s TikTok users suggest that users are motivated to use TikTok for information and fun. Further, TikTok is characterized as a short-form video, rich contents, and a novel format. Regarding TikTok advertising, the results reveal that usefulness, enjoyment, easiness of advertising skip, sense of closeness, and interaction are significant factors of TikTok advertising. Finally, it is suggested that users respond to the advertising by clicking 'like', writing comments, sharing, clicking 'purchase link'/advertiser's website, and creating user-created contents and so on. These findings theoretically contribute to the literature on social media advertising, and practically offer strategic guidelines for TikTok advertising.

• 프린팅코리아
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• v.7 no.12
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• pp.109-111
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• 2008

2007년에는 인터넷의 광고비가 잡지의 광고비를 추월했다. 이런 현상은 전자미디어의 활용이 지속적으로 확대되고 있으며 다매체 미디어 시대로 전환되고 있다는 것을 뜻한다. 그런 가운데 인쇄의 유효성은 다시 각광 받고 있다. 다른 미디어가 할 수 없는 오감에 호소하는 특수한 인쇄 및 가공을 활용함으로써 부가가치를 창출하는데 유용하다는 인식이 확산되고 있는 것이다. 최근 들어 관심을 끌고 있는 제품과 기법을 소개한다.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.95-101
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• 2012

The advent of the multiple media representatives system make the competition in the advertising industry. In this sense, both advertising industry and academic field have interested in construction and application of public infrastructure for broadcasting advertising. More specifically, this work analyzes the value of Kodex in the smart media system. Also, this study explores a basic set of application plan of Kodex as the public infrastructure. As a result, it is necessary to build transaction system infrastructure, ads contents application infrastructure, ads promotion infrastructure, and new profit creation infrastructure in the KOBAnet and KODEX. This study, as a leading research for the application of broadcasting advertising infrastructure, aims to provide some practical implications and suggestions for further research.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.183-192
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• 2014

This study aims to empirically investigate how personalized and socialized mobile media impacts on users' acceptance of mobile advertising, given the consideration of users' mobile possession attachment. For this, the current study used focus group interview and surveyed mobile users. Interestingly, the findings reveal that personalized and socialized mobile characteristicssignificantly affect users' acceptance of mobile ads. That is to say, users' personalized mobile characteristics play an important role in either awareness of mobile ads or exposure to mobile ads.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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• pp.227-230
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• 2003

최근 디지털 방송이 시작됨에 따라 방송 채널이 다변화하고 그 수도 많아지고 있다. 현재 방송되고 있는 디지털 당송에 지상파 방송과 케이블 TV의 그 방송까지 고려한다면 시청자가 접합 수 있는 방송은 다양하다. 기업들은 주요 홍보 매체인 방송을 통해 자신들의 상품을 광고로 내보낸다. 또한 자신들의 광고에 대한 모니터링을 통해 광고가 계약한 시간, 횟수, 광고의 길이에 맞게 방영되는지 알고 식어 한다. 현재 이러한 모니터링은 사람에 의한 수작업으로 이루어지고 있으며, 여러 채널의 방송에 광고를 내보냈을 때에는 이러한 모니터링은 더욱 어려워진다. 본 논문에서는 디지털 방송뿐만 아니라 아날로그 방송에 대해서까지도, 현재 방송의 비주얼 리듬을 실시간으로 추출하고 이를 이용하여 장면 전환을 수행하고 특징 벡터를 추출해서 얻어진 정보들을 이용한 실시간 광고 검출 알고리즘을 제안한다.

• Journal of Digital Contents Society
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• v.13 no.4
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• pp.591-600
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• 2012

Variety media based on the digital technology have emerged from the beginning of the 21th century and have competed with the traditional media in the advertisement market. With the high dependency upon the advertisement market, the Korean media industry has the urgent demand to increase it's pie. Korea regulator allowed PPL and private representatives, which resulted in low outcome. This study analysed the decision factors for the advertising market with the cross-sectional microeconomic data for 28 countries in OECD. The service industry, tax and GDP per capita affect negatively to the market growth rate, and unemployment positively. Therefore the market's growth speed would be slow down and the share of TV decreased. Therefore the two policies were suggested, increasing the direct payment by the audiences and retire of the inefficient broadcasters.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.33-40
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• 2013

The smart media has changed the patterns of advertising information consumption and media usage behavior drastically. The smart advertisements, however, have failed to perform as sophisticated as the smart devices carried out. In this respect, this study is designed to figure out the current situation and the ecosystem of smart advertising and to prepare its activation plan through a survey(FGI), which will be able to give policy suggestions about smart media and advertising. In conclusion, this study points out that the proliferation of smart advertising needs to install "Smart Media Representative" which provides independable decisions on the regulation of smart advertising, the system of price, standardization of advertising, the development of various forms of advertisements, the scientific measurement of the effectiveness, the protection of privacy, professional manpower training, etc.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.37-45
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• 2019

This study investigated whether the model attributes of VR Ads (3D effect, presence, Dynamics, Amusement) affect the attitude of the advertising. We also examined the mediating role of consumer's innovation in the model attributes and advertising attitude of VR advertisements. To do this, VR equipment was used to induce real advertisers to experience advertisements. The causal relationship between variables was examined through covariance structure analysis. The results are as follows. First, all independent variables of the VR advertising model have a positive effect on the consumer's innovation. Second, the 3D effect, Amusement of the VR advertising model have a positive effect on the attitude of the advertising. Third, the effects of the VR advertising model on all variables are mediated by the consumer's innovation of the VR advertisement. The results of this study provide implications for understanding the characteristics of VR Ads.