• 디지털융복합연구
• /
• 제17권11호
• /
• pp.213-223
• /
• 2019

본 연구는 사용자들의 공유행위의도에 대한 이유를 설명하기 위해 계획된 행동이론 모델 변인(주관적 규범, 태도, 자기효능감)과 소속 욕구, 자기성장주도성의 관계를 입증하고자 하였다. 온라인 설문조사를 통해 온라인 비디오 공유 경험이 있는 959명의 참가자들을 표본으로 수집하였으며, 수집된 데이터는 구조방정식모형 검증을 통해 분석되었다. 연구 결과, 소속 욕구는 온라인 비디오 공유에 대한 태도와 주관적 규범에 영향을 미쳤으며, 자기성장주도성 역시 온라인 비디오 공유에 대한 태도와 자기효능감에 영향을 미치는 것으로 확인되었다. 또한 계획된 행동이론 모델의 3가지 변인 모두 온라인 비디오 공유 의도에 영향을 미치고 있음이 확인되었으며, 온라인 비디오 공유에 대한 태도는 주관적 규범과 자기효능감에 영향을 미치고 있음이 확인되었다. 본 연구는 소속 욕구, 자기성장주도성과 함께 계획된 행동이론 모델의 구성 변인을 통해 사용자의 온라인 비디오 공유 의도에 대한 설명력을 입증하였다는 점에서 의의가 있다.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2021년도 춘계학술대회
• /
• pp.574-576
• /
• 2021

대규모 운영시스템이나 확장성을 고려한 시스템을 구성할 때 마이크로서비스 기법을 도입하는 것이 필요하다. 카프카는 pub/sub 모델을 가지는 메시지 큐로서 분산환경에 잘 적용되는 특징을 가지며, 다양한 데이터 소스를 활용할 수 있다는 점에서 마이크로서비스에 적합하다. 이 논문에서는 아파치의 카프카를 이용한 교육동영상 공유 서비스의 데이터 공유 방안을 제안하고자 한다. 제안하는 시스템은 교육 동영상 공유서비스이 다양한 데이터를 공유하기 위해 카프카 클러스터를 구축하며, 아울러 교육동영상의 유사도를 기반으로 하는 추천 시스템과 연계하기 위해 스파크 클러스터를 이용한다. 그리고 파일, RDBMS의 DB등과 같은 다양한 데이터 소스를 공유하는 방안을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권9호
• /
• pp.3357-3376
• /
• 2015

Wireless sensor network is an important research topic that has attracted a lot of attention in recent years. However, most of the interest has focused on wireless sensor network to gather scalar data such as temperature, humidity and vibration. Scalar data are insufficient for diverse applications such as video surveillance, target recognition and traffic monitoring. However, if we use camera sensors in wireless sensor network to collect video data which are vast in information, they can provide important visual information. Video sensor networks continue to gain interest due to their ability to collect video information for a wide range of applications in the past few years. However, how to efficiently store the massive data that reflect environmental state of different times in video sensor network and how to quickly search interested information from them are challenging issues in current research, especially when the sensor network environment is complicated. Therefore, in this paper, we propose a fast algorithm for extracting key frames from video and describe the design and implementation of key frame extraction and sharing in Android for wireless video sensor network.

• 한국멀티미디어학회논문지
• /
• 제17권4호
• /
• pp.405-412
• /
• 2014

Due to the popularity of mobile phones, Peer-to-Peer (P2P) content sharing in mobile phones is highly desirable, especially in a mobile data connection. In addition, there has been an increasing demand for content sharing applications for P2P communication in Android-based smartphones as ubiquitous mobile devices. However, due to wireless network limits, unstable characteristic and restricted storage space, mobile users confront challenges in establishing connections and sharing video frames with other users. To solve this issue, we propose an architectural design and implementation of key frame sharing application that uses Chord, a distributed lookup protocol to establish a content sharing platform for mobile devices, combined with the Chord SDK based on Android. Our proposed system enables users easily to share key information on video data in real-time over a wireless network without manual processing of devices which join or leave the group and cost associated with the 3G/4G network.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2009년도 IWAIT
• /
• pp.709-713
• /
• 2009

Recently, a lot of research that applies data acquired from devices such as cameras and RFIDs to context aware services is being performed in the field on Life-Log and the sensor network. A variety of analytical techniques has been proposed to recognize various information from the raw data because video and audio data include a larger volume of information than other sensor data. However, manually watching a huge amount of media data again has been necessary to create supervised data for the update of a class or the addition of a new class because these techniques generally use supervised learning. Therefore, the problem was that applications were able to use only recognition function based on fixed supervised data in most cases. Then, we proposed a method of acquiring supervised data from a video sharing site where users give comments on any video scene because those sites are remarkably popular and, therefore, many comments are generated. In the first step of this method, words with a high utility value are extracted by filtering the comment about the video. Second, the set of feature data in the time series is calculated by applying functions, which extract various feature data, to media data. Finally, our learning system calculates the correlation coefficient by using the above-mentioned two kinds of data, and the correlation coefficient is stored in the DB of the system. Various other applications contain a recognition function that is used to generate collective intelligence based on Web comments, by applying this correlation coefficient to new media data. In addition, flexible recognition that adjusts to a new object becomes possible by regularly acquiring and learning both media data and comments from a video sharing site while reducing work by manual operation. As a result, recognition of not only the name of the seen object but also indirect information, e.g. the impression or the action toward the object, was enabled.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권11호
• /
• pp.4068-4086
• /
• 2014

Due to the prevalence of powerful mobile terminals and the rapid advancements in wireless communication technologies, the wireless video streaming service has become increasingly more popular. Recent studies show that video streaming services via Transmission Control Protocol (TCP) are becoming more practical. TCP has more advantages than User Diagram Protocol (UDP), including firewall traversal, bandwidth fairness, and reliability. However, each video service shares an equal portion of the limited bandwidth because of the fair sharing characteristics inherent in TCP and this bandwidth fair sharing cannot always guarantee the video quality for each user. To solve this challenging problem, an Adaptive Multiple TCP (AM-TCP) scheme is proposed in this paper to guarantee the video quality for mobile devices in wireless networks. AM-TCP adaptively controls the number of TCP connections according to the video Rate Distortion (RD) characteristics of each stream and network status. The proposed scheme can minimize the total distortion of all participating video streams and maximize the service quality by guaranteeing the quality of each video streaming session. The simulation results show that the proposed scheme can significantly improve the quality of video streaming in wireless networks.

• Asia pacific journal of information systems
• /
• 제25권1호
• /
• pp.119-141
• /
• 2015

With the rapid spread of social media, video-sharing social media like YouTube has emerged as a consumption and distribution channel for entertainment goods such as music videos and movie trailers. In tourism research, there has been a lot of research of how the visual media such as movies and soap operas induced tourism. However, no studies have attempted to examine the role of social media as a music consumption channel and its impact on tourism. Expanding a body of media-induced tourism, we analysed the impact of video-sharing social media on music-induced tourism with a case of Korean pop music and inbound tourism to Korea. Developing a Web-crawler, we collected YouTube users' comments data on 166 Korean pop music video clips which were released from 2009 to 2012 with over 1 million view counts. Controlling many of the determinants of tourism and analysing country-by-country impact of YouTube comments with the panel data, we found that engagement of Korean pop music video clips on YouTube is a significant predictor for the flow of inbound tourists to Korea.

• 만화애니메이션 연구
• /
• 통권18호
• /
• pp.73-88
• /
• 2010

참여, 공유, 개방을 표방하는 웹 2.0의 트렌드 속에 많은 사람들이 콘텐츠 생산에 직접 참여하는 UCC(User Created Content) 시대가 도래하였다. 한국에서 동영상 UCC는 UCC와 동의어로 인식될 정도로 활성화되었으며 사회적 영향력도 증대하고 있으나 이에 대한 본격적인 연구는 부족한 편이다. 본 연구는 동영상 UCC 제작에 참여하는 동기와 그 효과를 본격적으로 연구하기 위한 탐색적 연구로 수행되었다. 연구결과 재미, 공유, 자기표현 등이 동영상 UCC를 제작하는 중요한 동기로 나타났다. 동영상 UCC 제작의 효과로는 피드백, 공유, 자기만족 등의 심리적 보상이 중요한 것으로 나타났다. 한편 개인별 전체 동영상 UCC 제작량은 자신이 만든 동영상 UCC의 재미, 중요성, 실용성 등을 스스로 높게 평가할수록 비례하여 더 증가하는 경향이 있는 것으로 밝혀졌다

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제7권4호
• /
• pp.784-799
• /
• 2013

This paper presents an adaptive rate control scheme for streaming-based content sharing service. This scheme delivers multimedia contents from a user device to another device or seamlessly redirects streaming service across heterogeneous user devices. In the proposed scheme, a streaming server adjusts video quality level according to the network and client status. Our scheme is different from other rate control schemes, because the video quality at the server is decided not only based on the available bandwidth, but also based on the device characteristics and bandwidth requirement at the access network. We also propose a bandwidth estimation method to achieve more equitable bandwidth allocations among streaming flows competing for the same narrow link with different Round Trip Times (RTTs). Through the simulation, we prove that our scheme improves the network stability and the quality of streaming service by appropriately adjusting the quality of the video stream. The simulation results also demonstrate the ability of the proposed scheme in ensuring RTT-fairness while remaining throughput efficient.

• 디지털융복합연구
• /
• 제15권3호
• /
• pp.313-318
• /
• 2017

PhotoShop 등과 같은 디자인 관련 소프트웨어의 사용자들은 관련 지식에 관하여 알고 싶을 경우, 일반적으로 인터넷을 검색하게 된다. 그러나 인터넷에서 원하는 디자인 관련 지식만을 검색하기는 매우 어려운 실정이다. 왜냐하면 기존의 지식 공유 시스템들은 다루는 분야가 광범위하고, 디자인에 특화된 다양한 형태의 질문 및 답변, 지식 거래 등을 제공하는 곳은 거의 없기 때문이다. 본 논문에서는 디자인 지식의 특성을 반영하여 텍스트 뿐만 아니라 이미지, 동영상 등을 통한 자유로운 질의 응답 기능, 강의 기능, 지식거래 기능 등을 제공하는 동영상 기반 디자인 지식 공유 시스템을 개발하였다. 본 시스템을 이용하여 디자인 지식을 공유함으로써 제품 경쟁력 확보에 기여할 수 있을 것으로 기대된다. 향후 본 시스템은 디자인 지식뿐만 아니라 다양한 지식을 공유할 수 있는 프레임으로 확대가 필요할 것이다.