• International Journal of Contents
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• v.17 no.2
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• pp.1-8
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• 2021

Online streaming wars are intensifying. Netflix is known as the market leader in the streaming business. However, since 2019, Netflix has been losing subscribers in the United States and is at a turning point where it needs to reassess its current position in the market. While Netflix is losing dominance, rivals Amazon Prime and Hulu continue to gain market shares. Studies from Deloitte and PricewaterhouseCoopers indicated a new shift in the streaming landscape caused by the abundance of streaming options and rising subscription costs. Recent surveys showed that consumers are excited about new streaming services, such as Disney +. Nearly two-thirds of consumers intend to terminate or downgrade one or more of their current subscriptions to make room for a new service. Moreover, it seems that consumers want ad-supported options. In Deloitte's latest Digital Media Trends survey, 65% responded that they would watch ads to eliminate or reduce subscription costs. Seventy percent of Hulu's subscribers choose its lower-priced ad-supported plan. NBC recently launched its own streaming service, Peacock, with a free ad-supported option. This opposes Netflix's brand identity of "no ads" and premium differentiation. With increasing pressure from competition and the growing risk of subscriber loss, Netflix needs to diversify its price plans. The company could try implementing the lower-priced mobile-only plan they are currently testing or plan to test in other regions. Netflix should also consider features or benefits for loyal subscribers to maintain a stronger consumer base.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.7-14
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• 2020

This study was conducted as an exploratory study to redefine and examine what differences from native advertisements defined in previous studies through analysis of the types and formats of native advertisements appearing on media platform. A total of 159 samples in their twenties, and the results of looking at native ads currently appearing on media platform are as follows. First, native ads were running in the order of YouTube, Instagram, and Facebook. Second, it can be seen that it is being executed as a targeted advertisement for the 20s. Third, we could see that native ads are being executed a lot in the form of content or feed. It can be seen that the evolution of native advertising is being executed centering on content, focusing on fun and interest in the form of video, and its form and type are gradually evolving around the platform.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.146-158
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• 2020

As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.140-151
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• 2024

This study explores an innovative advertising technique on Bilibili, where product links are embedded as bullet comments visible only to mobile app users. The research involved 140 participants, divided equally between followers and non-followers of a popular influencer, 'Gourmet WanggangR.' These groups were further split, with half viewing a video containing the product link on the app and the other half via PC. The study revealed that influencer attachment significantly increased viewer immersion (transportation) and positively influenced attitudes towards the content, which in turn elevated purchase intentions. Importantly, the influencer's followers showed a stronger attachment and more favorable attitudes towards the content, alongside a heightened likelihood to purchase the advertised product. The presence of the product link further accentuated these effects among the influencer's followers. Conversely, in the absence of the link, the correlation between influencer attachment and content attitude was less pronounced. These findings highlight the effectiveness of embedding product links in video content as a marketing strategy, particularly when targeting an influencer's followers through mobile platforms.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.677-687
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• 2018

The purpose of this study is to investigate the causes of pre-roll ads played before watching online video contents, and to investigate the using motives by dividing them into broadcasting contents clips and web original contents. The results show that broadcast contents clips have higher use of entertainment/habitual use and social interaction, and that the use time of web content is higher when entertainment/convenience and selective use motivation are higher. Second, perceived invasion has the greatest effect on ad avoidance in broadcasting contents clip, and positive attitude toward advertisement is a significant factor in web contents. Content factors such as content preference and engagement did not affect the avoidance of pre-roll ad.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.659-665
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• 2021

Short video applications (e.g., TikTok, YouTube shorts) are growing quickly in terms of active users and usage time. Of course, advertising industry is utilizing the app as AD channel. The current study, however, argues that the effectiveness of ADs in short video apps are not articulated well and that precise research for measuring the effect is required. In this context, this study measured the effects of storytelling ad types(reality, parody, creative) and message sensation value(high vs. low level) on story transportation. The notable finding is that when creative storytelling ad type which requires more cognitive resources than other two types meets high level of message sensation value, ad viewers could reach cognitive overload state which induced low effectiveness of ad. As its result, the effectiveness of AD reduced. More specific theoretical discussion and suggestions for advertising producers are described.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.6
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• pp.30-35
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• 2007

H.264/AVC provides better quality than other algorithms by using a deblocking filter to remove blocking distortion on block boundary of the decoded picture. However, this filtering process includes lots of memory accesses, which cause delay of overall decoding time. In this paper, we propose a data-reuse algorithm to speed up the process for the deblocking filter. To reuse the data, a new filtering order is suggested. By using this order, we reduce the memory access and accelerate the deblocking filter. The modeling of proposed algorithm is compiled under ARM ADS1.2 and simulated with Armulator. The results of the experiment compared with H.264/AVC standard are achieved on average 58.45% and 57.93% performance improvements at execution cycles and memory access cycles, respectively.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.325-331
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• 2017

The purpose of this study is optional cinemagraph ads based on the case through the psychological theory of visual multimedia story qualitative analysis, quantitative analysis. Cinemagraph analysis would like to present the model. The analysis popular advertising model who starred with the higher profile in 2016 Gmaket of cinemagraph series of ads research, literature research, and Internet media. Analysis, case studies, etc. The analysis appeared around 10 percent was the most effective in the form of moving the form of copper wire. Part of the video cinema than the overall movement of the graph bigger visual flow effects is a dynamic. Moving the direction of the model used copper wires and broadly consistent with the product. Subject & Surrounding and margins are being used within one point or two points. The story of probability model in the short and expressing simple action of the product. Direction of the action, the proportion of multimedia for quantitative analysis of space story for the qualitative analysis of the periphery and jujebu, stories, such as the probability of four.For consideration the terms.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.515-525
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• 2024

Dark patterns refer to intentionally deceptive design techniques used by online service providers to hide necessary information, preventing users from taking desired actions or luring them into unintended behaviors. In this study, we analyzed the prevalence of dark patterns such as banners, advertorials, pop-ups, and video ads, and their impact on users across the top 200 news websites worldwide. The research revealed that there is a minimal correlation between banner ads and user bounce rates or unique visitors. Consequently, the main screen moving banner and headline news screen moving banner were most frequently observed in South America, while the headline news screen fixed banner was most commonly observed in Asia. All other categories were predominantly observed in Europe, making European websites the most diverse and abundant in various dark patterns.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.2
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• pp.26-32
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• 2008

Video compression schemes have been developed and used for many years. Currently, H.264/AVC is the most efficient video coding standard. The H.264/AVC baseline profile adopts CAVLC(Context-Adaptive Variable Length Coding) method as an entropy coding method. CAVLC gives better performance in compression ratios than conventional VLC(Variable Length Coding). However, because CAVLC decoder uses a lot of VLC tables, the CAVLC decoder requires a lot of area in terms of hardware. Conversely, since it must look up the VLC tables, it gives a worse performance in terms of software. In this paper, we propose a new hierarchical grouping method for the VLC tables. We can obtain an index of codes in the reconstructed VLC tables by simple arithmetic operations. In this method, the VLC tables are accessed just once in decoding a symbol. We modeled the proposed algorithm in C language, compiled under ARM ADS1.2 and simulated it with Armulator. Experimental results show that the proposed algorithm reduces execution time by about 80% and 15% compared with the H.264/AVC reference program JM(Joint Model) 10.2 and the arithmetic operation algorithm which is recently proposed, respectively.