• Title/Summary/Keyword: User Generated Contents

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A Low-weight Authentication Protocol using RFID for IPTV Users (RFID를 이용한 IPTV 사용자의 경량화 인증 프로토콜)

  • Jeong, Yoon-Su;Kim, Yong-Tae;Park, Gil-Cheol;Lee, Sang-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.2
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    • pp.105-115
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    • 2009
  • At the most recent, IPTV service is increasing, which isa communicative broadcasting fusion service that provides various multimedia contents interactively followed by user's request through super high-speed internet. For IPTV user service with high mobility, IPTV user's enrollment is essential. However, IPTV service provided to mobile users can't provide the certification of mobile user securely. This paper proposes light user certification protocol which can certificate mobile users by attaching RFID to IPTV STB for secure awareness of mobile users who get IPTV service. The proposed protocol prevent reply attack and man-in-the-middle attack from happening oftenin a wireless section by transmitting the result value hashed by hash function with both its' ID and random number received from tag after tag transmits random number which generated randomly in the process of certification of mobile user to IPTV STB.

Animation Generation for Chinese Character Learning on Mobile Devices (모바일 한자 학습 애니메이션 생성)

  • Koo, Sang-Ok;Jang, Hyun-Gyu;Jung, Soon-Ki
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.12
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    • pp.894-906
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    • 2006
  • There are many difficulties to develop a mobile contents due to many constraints on mobile environments. It is difficult to make a good mobile contents with only visual reduction of existing contents on wire Internet. Therefore, it is essential to devise the data representation and to develop the authoring tool to meet the needs of the mobile contents market. We suggest the compact mobile contents to learn Chinese characters and developed its authoring tool. The animation which our system produces is realistic as if someone writes letters with pen or brush. Moreover, our authoring tool makes a user generate a Chinese character animation easily and rapidly although she or he has not many knowledge in computer graphics, mobile programming or Chinese characters. The method to generate the stroke animation is following: We take basic character shape information represented with several contours from TTF(TrueType Font) and get the information for the stroke segmentation and stroke ordering from simple user input. And then, we decompose whole character shape into some strokes by using polygonal approximation technique. Next, the stroke animation for each stroke is automatically generated by the scan line algorithm ordered by the stroke direction. Finally, the ordered scan lines are compressed into some integers by reducing coordinate redundancy As a result, the stroke animation of our system is even smaller than GIF animation. Our method can be extended to rendering and animation of Hangul or general 2D shape based on vector graphics. We have the plan to find the method to automate the stroke segmentation and ordering without user input.

NetFlow based IPv6 user's Flow traffic monitoring (NetFlow 기반 IPv6 사용자 Flow traffic 모니터링)

  • Kim, Sung-Su;Song, Wang-Cheol;Oh, Yong-Taek;Choi, Deok-Jai
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.42-46
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    • 2006
  • As the next generation internet (NGI) is supporting High-speed in Gbps rate with the appearance of advanced network technologies, various applications that require high data rates. have been experimented and operated. By using high speed application services, many kinds of problems can be generated but we cannot easily grasp their reasons. However, if the user monitors the end-to-end one's flow data information (path and data rate in each router, state of each router) he can find them more accurately Until now, we have found out the fact that systems which can network-widely monitor end-to-end flow have not be developed yet, only simple systems which can monitor user's individual flow data at just one node are developed In this study, we suggest and materialize a system which can analyze bandwidth in real time by searching routing paths and measuring packet transfer rate between end-to-end flow data and supported flow traffic of using IPv6.

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Multi Spatial Interaction Interface in Large-scale Interactive Display Environment (대규모 인터랙티브 디스플레이 환경에서의 멀티 공간 인터랙션 인터페이스)

  • Yun, Chang-Ok;Park, Jung-Pil;Yun, Tae-Soo;Lee, Dong-Hoon
    • The Journal of the Korea Contents Association
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    • v.10 no.2
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    • pp.43-53
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    • 2010
  • The interactive display is providing various interaction modes to users through various ubiquitous computing technologies. These methods were studied for their interactions, but the limits that it is provided to only single user and the device usability were generated. In this paper, we propose a new type of spatial multi interaction interface that provide the various spatial touch interactive to multi users in the ambient display environment. Therefore, we generate the interaction surface so that a user can interact through the IR-LEDs Array Bar installed in the ceiling of the ambient display environment. At this time, a user can experience the various interactions through the spatial touch in an interaction surface. Consequently, this system offers the interactive display and interface method that the users can interact through natural hand movement without the portable devices.

Automatic Summary Method of Linguistic Educational Video Using Multiple Visual Features (다중 비주얼 특징을 이용한 어학 교육 비디오의 자동 요약 방법)

  • Han Hee-Jun;Kim Cheon-Seog;Choo Jin-Ho;Ro Yong-Man
    • Journal of Korea Multimedia Society
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    • v.7 no.10
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    • pp.1452-1463
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    • 2004
  • The requirement of automatic video summary is increasing as bi-directional broadcasting contents and various user requests and preferences for the bi -directional broadcast environment are increasing. Automatic video summary is needed for an efficient management and usage of many contents in service provider as well. In this paper, we propose a method to generate a content-based summary of linguistic educational videos automatically. First, shot-boundaries and keyframes are generated from linguistic educational video and then multiple(low-level) visual features are extracted. Next, the semantic parts (Explanation part, Dialog part, Text-based part) of the linguistic educational video are generated using extracted visual features. Lastly the XMI- document describing summary information is made based on HieraTchical Summary architecture oi MPEG-7 MDS (Multimedia I)escription Scheme). Experimental results show that our proposed algorithm provides reasonable performance for automatic summary of linguistic educational videos. We verified that the proposed method is useful ior video summary system to provide various services as well as management of educational contents.

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UCC Cutout Animation Generation using Video Inputs (비디오 입력을 이용한 UCC 컷아웃 애니메이션 생성 기법)

  • Lee, Yun-Jin;Yang, Seung-Jae;Kim, Jun-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.67-75
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    • 2011
  • We propose a novel non-photorealistic rendering technique which generates a cutout animation from a video for UCC. Our method consists of four parts. First, we construct an interactive system to build an articulated character. Second, we extract motions from an input video. Third, we transform motions of a character in order to reflect characteristics of cutout animations. Fourth, we render the extracted or transformed components in cutout animation style. We developed a unified system for a user to easily create a cutout animation from an input video and showed the system generated a cutout animation efficiently.

Collaborative Tag-based Filtering for Recommender Systems (효과적인 추천 시스템을 위한 협업적 태그 기반의 여과 기법)

  • Yeon, Cheol;Ji, Ae-Ttie;Kim, Heung-Nam;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.14 no.2
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    • pp.157-177
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    • 2008
  • Even in a single day, an enormous amount of content including digital videos, posts, photographs, and wikis are generated on the web. It's getting more difficult to recommend to a user what he/she prefers among these contents because of the difficulty of automatically grasping of content's meanings. CF (Collaborative Filtering) is one of useful methods to recommend proper content to a user under these situations because the filtering process is only based on historical information about whether or not a target user has preferred an item before. Collaborative Tagging is the process that allows many users to annotate content with descriptive tags. Recommendation using tags can partially improve, such as the limitations of CF, the sparsity and cold-start problem. In this research, a CF method with user-created tags is proposed. Collaborative tagging is employed to grasp and filter users' preferences for items. Empirical demonstrations using real dataset from del.icio.us show that our algorithm obtains improved performance, compared with existing works.

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Content-based Recommendation Based on Social Network for Personalized News Services (개인화된 뉴스 서비스를 위한 소셜 네트워크 기반의 콘텐츠 추천기법)

  • Hong, Myung-Duk;Oh, Kyeong-Jin;Ga, Myung-Hyun;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.19 no.3
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    • pp.57-71
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    • 2013
  • Over a billion people in the world generate new news minute by minute. People forecasts some news but most news are from unexpected events such as natural disasters, accidents, crimes. People spend much time to watch a huge amount of news delivered from many media because they want to understand what is happening now, to predict what might happen in the near future, and to share and discuss on the news. People make better daily decisions through watching and obtaining useful information from news they saw. However, it is difficult that people choose news suitable to them and obtain useful information from the news because there are so many news media such as portal sites, broadcasters, and most news articles consist of gossipy news and breaking news. User interest changes over time and many people have no interest in outdated news. From this fact, applying users' recent interest to personalized news service is also required in news service. It means that personalized news service should dynamically manage user profiles. In this paper, a content-based news recommendation system is proposed to provide the personalized news service. For a personalized service, user's personal information is requisitely required. Social network service is used to extract user information for personalization service. The proposed system constructs dynamic user profile based on recent user information of Facebook, which is one of social network services. User information contains personal information, recent articles, and Facebook Page information. Facebook Pages are used for businesses, organizations and brands to share their contents and connect with people. Facebook users can add Facebook Page to specify their interest in the Page. The proposed system uses this Page information to create user profile, and to match user preferences to news topics. However, some Pages are not directly matched to news topic because Page deals with individual objects and do not provide topic information suitable to news. Freebase, which is a large collaborative database of well-known people, places, things, is used to match Page to news topic by using hierarchy information of its objects. By using recent Page information and articles of Facebook users, the proposed systems can own dynamic user profile. The generated user profile is used to measure user preferences on news. To generate news profile, news category predefined by news media is used and keywords of news articles are extracted after analysis of news contents including title, category, and scripts. TF-IDF technique, which reflects how important a word is to a document in a corpus, is used to identify keywords of each news article. For user profile and news profile, same format is used to efficiently measure similarity between user preferences and news. The proposed system calculates all similarity values between user profiles and news profiles. Existing methods of similarity calculation in vector space model do not cover synonym, hypernym and hyponym because they only handle given words in vector space model. The proposed system applies WordNet to similarity calculation to overcome the limitation. Top-N news articles, which have high similarity value for a target user, are recommended to the user. To evaluate the proposed news recommendation system, user profiles are generated using Facebook account with participants consent, and we implement a Web crawler to extract news information from PBS, which is non-profit public broadcasting television network in the United States, and construct news profiles. We compare the performance of the proposed method with that of benchmark algorithms. One is a traditional method based on TF-IDF. Another is 6Sub-Vectors method that divides the points to get keywords into six parts. Experimental results demonstrate that the proposed system provide useful news to users by applying user's social network information and WordNet functions, in terms of prediction error of recommended news.

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.

Mobile Web Automatic Generation using the Web users usage pattern (사용자 이용패턴을 이용한 모바일웹 컨텐츠 자동 생성에 관한 연구)

  • Ko, Hee-Ae;Kim, Jong-Keun;Sim, Kun-Ho;Meihua, Zhao;Yin, Chang-Yi;Lim, Young-Hwan
    • Journal of Digital Contents Society
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    • v.9 no.4
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    • pp.583-590
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    • 2008
  • These days Mobile web Full Browsing is getting the issues which displays whole Web Site contents in browser of mobile device. Since the size of browser is too small, in this paper, it recommends a new method that web users can choose variable service and web contents for mobile contents by adopting new platform. The mobile web would be generated automatically to apply the web 2.0 through the web users pattern. The platform is that no one belong in data, anyone can use this, anyone can modify the data, so variable users can create new contents for proper mobile web. It is the Mobilder application which can build Mobile web pages. Any User can make mobile web pages with Mobilder Before producing the program, in this paper, it will build mobile web pages by web users navigation pattern. After analysing the web users pattern, we will produce the mobile web pages through this.

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