• 제목/요약/키워드: media content sharing

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Place-shifting of TV Content by the Use of Slingbox and the Copyright (슬링박스를 이용한 TV프로그램의 장소이동 시청의 저작권법상의 성격)

  • Cho, Youn-Ha
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.158-167
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    • 2013
  • This research examines the legal liability of place-shifting of TV contents by the use of the Slingbox. The place-shifting of TV contents is fair use because it is a non-commercial private use based on the relevant case law regarding time-shifting and device-shifting such as Sony, RIAA and Napster. But the sharing of place-shifting function is likely to be liable for copyright infringement. And place-shifting may not be fair use based on the cases which denied fair use of time-shifting and space-shifting because the consumers' convenience for the use of the copyrighted work is against the purpose of legislation of copyright law. Place-shifting is unlikely to have a significant effect on the potential market for TV contents because it presents lucrative new platforms to disseminate TV contents to computers and mobile devices. However it is likely to have negative effect because various devices can be the follow-up marketplaces of the copyright holders of TV contents. This study proposes the "innovative medium defense," a new doctrine to analyze liability of innovative media.

Automatic Tagging for Social Images using Convolution Neural Networks (CNN을 이용한 소셜 이미지 자동 태깅)

  • Jang, Hyunwoong;Cho, Soosun
    • Journal of KIISE
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    • v.43 no.1
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    • pp.47-53
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    • 2016
  • While the Internet develops rapidly, a huge amount of image data collected from smart phones, digital cameras and black boxes are being shared through social media sites. Generally, social images are handled by tagging them with information. Due to the ease of sharing multimedia and the explosive increase in the amount of tag information, it may be considered too much hassle by some users to put the tags on images. Image retrieval is likely to be less accurate when tags are absent or mislabeled. In this paper, we suggest a method of extracting tags from social images by using image content. In this method, CNN(Convolutional Neural Network) is trained using ImageNet images with labels in the training set, and it extracts labels from instagram images. We use the extracted labels for automatic image tagging. The experimental results show that the accuracy is higher than that of instagram retrievals.

A Study on the Analysis of Policy PR Content Using Digital Platform - Focusing on YouTube Analysis by Five Government Departments (디지털 플랫폼을 이용한 정책 홍보 내용분석 연구 정부 5개 부처의 유튜브 분석을 중심으로)

  • Yu, Hyun-Joong;Jeong, Hyeon Ju;Kim, Won-Han
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.595-603
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    • 2023
  • Recently, many public institutions have been conducting promotional activities using digital platforms. Communication methods using digital platforms have a very important meaning in that they can create new values that did not exist before by connecting and sharing information with various users. To this end, we tried to analyze YouTube videos of five government ministries and examine them. As a result of YouTube analysis by government ministries, most of them were mainly used as channels for policy promotion, and many were used as channels for new information. Although the message is delivered through the production of various contents, it was possible to look at cases where the target as a channel for communication was not clear and the purpose was unclear. In order to communicate with the people, it should be used as a channel for communication through content suitable for clear target setting and purpose.

Examining the Functions of Attributes of Mobile Applications to Build Brand Community

  • Yi, Kyonghwa;Ruddock, Mullykar;Kim, HJ Maria
    • Journal of Fashion Business
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    • v.19 no.6
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    • pp.82-100
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    • 2015
  • Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

Availability of Mobile Art in Smartphone Environment of Augmented Reality Content Industrial Technology (증강현실 콘텐츠 산업기술의 스마트폰 환경 모바일 아트 활용 가능성)

  • Kim, Hee-Young;Shin, Chang-Ok
    • The Journal of the Korea Contents Association
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    • v.13 no.5
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    • pp.48-57
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    • 2013
  • Smartphones provide users with environment for communication and sharing information and at the same time play an important role of mobile technology and mobile art development. Smartphone technology-related researches are being accelerated especially with the advent of mobile Augmented Reality(AR) age, but the studies on user participation that is essential for AR content industry were insufficient. In that regard, the assistance from mobile art area that has already developed these characteristics is essential. Thus, this article is to classify mobile art that has not been studied a lot domestically into feature phone usage and smartphone usage and to analyze each example case with the three most used methods. The usage of feature phones which use the sound and images of mobile devices can be divided into three: installation and performing methods, single channel video art method and five senses communication method. On the other hand, the usage of smartphones that use sensors, cameras, GPS and AR can be divided into location-based AR, marker-based AR and markerless AR. Also, as a result of examining mobile AR content utilization technology by industries, combined methods are utilized; tourism and game-related industries use location-based AR, education and medicine-related industries use marker-based AR, and shopping-related industries use markerless AR. The development of AR content industry is expected to be accelerated with mobile art that makes use of combined technology method and constant communication method through active participation of users. The future development direction of mobile AR industry is predicted to have minimized HMD, integration of hologram technology and artificial intelligence and make the most of big data and social network so that we could overcome the technological limitation of AR.

Factors Affecting Blog Use : An Empirical Study Using Extended TAM and Perceived Encouragement (블로그 사용에 영향을 미치는 요인 : 확장된 기술수용모델과 인지된 격려를 이용한 실증연구)

  • Kwon, Oh-Byung;Wen, Yixing;Kim, Min-Yong
    • The Journal of Society for e-Business Studies
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    • v.12 no.4
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    • pp.165-184
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    • 2007
  • Recently, blogging has been regarded as a promising media for information sharing and relationship building. However, it is not quite sure if the technology acceptance model could be completely adopted also in relationship-based system such as blog. Hence, the purpose of this paper is to identify the factors affecting the usage of blogs. To do so, content analysis methodology is applied to extract meaningful factors affecting the usage of blogs in the opinions of the bloggers in a Korean portal site : Naver. We investigates the causal relationship among three factors ; perceived usefulness, perceived encouragement, and actual use in blogging. Moreover, public self-consciousness, self disclosure and telepresence are also considered as the determinants. The results show that public self-consciousness and self disclosure are significant elements affecting perceived usefulness and perceived encouragement, while perceived usefulness and perceived encouragement both affecting the actual use of blogs.

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A Study on HTML5 using Real-time Video Streaming System (HTML5을 활용한 실시간 영상 스트리밍 시스템)

  • Ban, Tae-Hak;Jeong, Han-Gil;Song, Hyun-Ok;Yuk, Jung-Soo;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.561-563
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    • 2015
  • The majority of current streaming services are particular S/W I a separate setup program supports real-time streaming service a reality, will be stored until the end of the video, save for a video about editing and is not available. In this paper, allows the user to save and apply the multi threaded techniques for video based on a system without a separate plug-ins, or installation of programs HTML5 by taking advantage of Web content authoring, real-time streaming system using a Web browser. This saves the video streaming in real time can be used for editing and, on real-time communications and media sharing and streaming Web service you need and will be utilized in the field.

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A Study on Leisure Activities for Workers -Focusing on a Cooking Category- (국내 직장인을 위한 여가활동 방안 연구 -요리 분야를 중심으로-)

  • Lee, Jaeeun;Kim, Seung-in
    • Journal of Digital Convergence
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    • v.16 no.1
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    • pp.305-310
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    • 2018
  • The purpose of this study is to suggest a leisure activity for improvement of personal life and career of Korean workers. To do this, DIY was selected as a method of leisure activity that minimizes cost, time and space contraints. As a method of research, I did case study for investigating the characteristics of existing leisure activities. In addition, I examined the needs about cooking activity through an in-depth interview with 8 workers whose hobby is cooking. As a result, two essential elements were derived. First, it is necessary to establish a clear scope and content of the brand. Secondly, a platform for sharing activity is needed. This study is significant in that it suggests the way to improve leisure activity of workers. After this study, it is expected that it will help to spread leisure activities of workers through the design of leisure activities plan.

Collaborative Digital Storytelling based on Collective Intelligence through Contest (공모전을 통한 집단지성 기반의 협업적 디지털 스토리텔링)

  • You, Eun-Soon;Park, Seung-Bo;Lee, Yeon-Ho;Jo, Geun-Sik
    • The Journal of the Korea Contents Association
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    • v.10 no.12
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    • pp.120-128
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    • 2010
  • Web development and digital technology enable users not only to consume contents but also to produce and share it through using various media. Thus, since personal needs for contents are increased, the interest in environment and technology for creating digital contents is growing. Because of existing digital contents technology such as writing tool or digital storyboard have focused on the individual creation, it is hard to induce participation and collaboration of other users and sharing and reusing contents. Therefore, we suggest a new form of collaborate digital storytelling using the concept of the collective intelligence through contest. Most of all, we develop writing tool and storyboard tool in order to facilitate participants to produce online contents. Also, distinguished from previous contest, this contest considers not only content output but also collaborative process for making it.

Exploratory study on the Spam Detection of the Online Social Network based on Graph Properties (그래프 속성을 이용한 온라인 소셜 네트워크 스팸 탐지 동향 분석)

  • Jeong, Sihyun;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.5
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    • pp.567-575
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    • 2020
  • As online social networks are used as a critical medium for modern people's information sharing and relationship, their users are increasing rapidly every year. This not only increases usage but also surpasses the existing media in terms of information credibility. Therefore, emerging marketing strategies are deliberately attacking social networks. As a result, public opinion, which should be formed naturally, is artificially formed by online attacks, and many people trust it. Therefore, many studies have been conducted to detect agents attacking online social networks. In this paper, we analyze the trends of researches attempting to detect such online social network attackers, focusing on researches using social network graph characteristics. While the existing content-based techniques may represent classification errors due to privacy infringement and changes in attack strategies, the graph-based method proposes a more robust detection method using attacker patterns.