• Title/Summary/Keyword: 미디어 노출

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Examining News Report Research Trends Using Keyword Network Analyses (국내 뉴스 보도 연구 동향에 관한 주제어 연결망 분석)

  • Cho, Yiyoung;Ahn, Dohyun
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.278-291
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    • 2016
  • This study examined research trends via network analyses of keywords appeared in academic research articles about news reports in South Korea during the last 10 years from 2006 to 2015. Keyword network analyses of 4410 keywords from 1108 articles suggested that framing, agenda setting, third-person effect, selective exposure, and uses and gratification were main theories but most studies used framing theory. Research areas included news reports on politics, economics, science, world issues, or tour. However, research on news reports covering culture, sports or daily life were not identified. In terms of media, research on both traditional and emerging media were ample. Research on broadcasting new, online news, and social media were frequently observed.

Improved CABAC for Lossless Video Compression (무손실 동영상 압축을 위한 향상된 CABAC)

  • Kim, Dae-Yeon;Choi, Jin-Soo;Lee, Yung-Lyul
    • Journal of Broadcast Engineering
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    • v.12 no.4
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    • pp.377-380
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    • 2007
  • In this paper, an improved CABAC is proposed for the lossless compression in H.264/AVC. CABAC in the lossless coding is not as efficient as that in the lossy compression since it was developed for lossy coding. CABAC for the lossless coding in H.26과/AVC Advanced 4:4:4 Profile is applied without the change of the conventional binarization method. Thus, a binarization method considering the statistical characteristic of residual signals is proposed for the lossless coding in 0.264/AVC Advanced 4:4:4 Profile. The experimental results show that the proposed method obtains approximately 3.4% bitrate reduction in comparison to that of the conventional lossless coding.

HVS-Aware Single-Shot HDR Imaging Using Deep Convolutional Neural Network (시각 인지 특성과 딥 컨볼루션 뉴럴 네트워크를 이용한 단일 영상 기반 HDR 영상 취득)

  • Vien, An Gia;Lee, Chul
    • Journal of Broadcast Engineering
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    • v.23 no.3
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    • pp.369-382
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    • 2018
  • We propose a single-shot high dynamic range (HDR) imaging algorithm using a deep convolutional neural network (CNN) for row-wise varying exposures in a single image. The proposed algorithm restores missing information resulting from under- and/or over-exposed pixels in an input image and reconstructs the raw radiance map. The main contribution of this work is the development of a loss function for the CNN employing the human visual system (HVS) properties. Then, the HDR image is obtained by applying a demosaicing algorithm. Experimental results demonstrate that the proposed algorithm provides higher-quality HDR images than conventional algorithms.

Digital Watermarking for JPEG2000 (JPEG2000을 위한 디지털 워터마킹)

  • 서용석;주상현;정호열
    • Journal of Broadcast Engineering
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    • v.6 no.1
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    • pp.32-40
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    • 2001
  • In this paper, we propose a DWT (discrete Wavelet Transform) based watermarking method, which can be conveniently Integrated In the up-coming JPEG2770 baseline system. Although Conventional DWT based watermarking techniques insert watermark signal Into wavelet coefficients after the transform, our proposed method embeds a watermark into wavelet coefficients obtained from the ongoing process of lifting for DWT. The proposed method allows us to selectively determine frequency characteristics of the coefficients where the watermark is embedded. so that the Inserted watermark cannot be removed or altered even when the filter-bank for DWT is known. Through the simulation, we show that the proposed method is more secure and more robust against various attacks than conventional DWT barred watermarking techniques.

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Advertisement method using VoIP Phone (VoIP를 이용한 광고 방식)

  • Kim, Chul;Lim, Pyung-Jong;Hyun, Chul-Ju;Jang, Se-Young;Kwak, Hoon-Sung
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.239-241
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    • 2006
  • This research implemented VoIP phone for Advertisement service that used display(LCD) of internet telephone. If it is advertised using this advertisement service model, We don't make payment printing cost and delivering cost for advertisement. And the advertisement using VoIP phone can deliver to customers in real-time that high grade advertising exposure. The customer can use information about opening and closing store in real-time. Hence, in this paper we suggest more efficient advertisement technique using VoIP phone for Advertisement service.

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Error Resilient Performance Evaluation of MPEG-4 and H.264/AVC (MPEG-4 와 H.264/AVC의 에러 강인 기술 성능 평가)

  • 정봉수;황영휘;전병우;김명돈;최송인
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.203-216
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    • 2004
  • Recent advances in video coding technology have resulted in rapid growth of application in mobile communication, With this explosive growth reliable transmission and error resilient technique become increasingly necessary to offer high quality multimedia service. In this paper, we present the result of our investigation on the error resilient performance evaluation of the MPEG-4 simple profile under the H.324/M and the H.264/AVC baseline under the IP packet networks. Especially, we have tested error resilient tools of MPEG-4 simple profile such as resynchronization marker insertion, data partitioning, and of H.264/AVC baseline such as the flexible macroblock ordering (FMO) scheme. The objective quality of decoded video is measured in terms of rate and PSNR under various random bit and burst error conditions.

HDR Image Acquisition from Two LDR Images (두 장의 LDR 영상을 이용한 HDR 영상 취득 기법)

  • Park, Tae-Jang;Park, In-Kyu
    • Journal of Broadcast Engineering
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    • v.16 no.2
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    • pp.247-257
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    • 2011
  • In this paper, we propose a scene adaptive method to obtain two LDR images with proper shutter speeds which capture the irradiance of scene effectively. The proposed method adaptively selects two shutter speeds across the video frame even when the illumination varies continuously. For the performance evaluation, we compute the PNSR to the ground truth which is obtained by the state-of-the-art HDR imaging method. It shows that the proposed method is able to select approximately optimal shutter speeds while avoiding the exhaustive search of every possible pair of shutter speeds.

Character Floating Hologram using Detection of User's Height and Motion by Depth Image (깊이 영상으로 사용자 키 검출 및 동작감지를 사용한 캐릭터 플로팅 홀로그램)

  • Oh, KyooJin;Han, DaeHyun;Kwon, SoonKak
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.4
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    • pp.33-40
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    • 2018
  • With the development of computer and video technology, a lot of contents are being produced as digital media methods to provide are being diversified and the intrest in digital media increases. Such contents are actively researched using human motion and user's information through camera or controller. Contents using user's information can be exposed to various people in public places and used as an advertisement. This paper proposes the character floating hologram system that is implemented using detection of user's height and motion. The purposed system detects user's height and motion from depth images and creates corresponding character from the detected data. Then it is represented using a floating hologram device. This system can be used for marketing, advertising and exhibition events using user information.

An Analysis of Visitor Responses Based on Instagram Hashtags (인스타그램 해시태그 기반의 전시관람경험에 대한 반응 분석)

  • Park, Jihyun;Seok, Ayoung;Yoon, Youngjun;Rhee, Bo-A
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.369-372
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    • 2018
  • 박물관 3.0시대의 도래와 함께 박물관 경영 측면에서 빅데이터 분석, 그리고 공유와 개방의 관점 및 커뮤니케이션 플랫폼과 마케팅 도구로써 소셜 미디어의 영향력이 증대되고 있다. 모바일 애플리케이션이나 비콘에 의존했던기존의 박물관 빅데이터 분석과는 달리, 본 연구에서는 전시에 대한 인스타그램의 해시태그를 분석함으로써, 관람객 분석도구로써 인스타그램 해시태그의 효용성과 가치를 입증하는데 목적을 두고 있다. 이를 위해 최근 2년 동안 국내에서 개최된 다섯 개의 전시의 인스타그램 해시태그를 수집 및 시각화했다. 그 결과, 모든 전시의 인스타그램의 해시태그는 전시명, 전시장소, 전시회, 지역명, 작가명에 집중되었다. 결론적으로 인스타그램의 해시태그는 전시관람 경험에 대한 분석을 위한 빅데이터로 사용하는 것이 부적합했다. 또한 관람객 개발을 위한 도구로써 인스타그램 해시태그의 효용성과 가치는 입증되지 못한 반면, 노출형에 해당하는 해시태그의 정보 확산에 대한 잠재력은 확인되었다.

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Real-Time Face Tracking System Of Object Segmentation Tracking Method Applied To Motion and Color Information (움직임과 색상정보에서 객체 분할 추적 기법을 적용한 실시간 얼굴 추적 시스템)

  • Choi, Young-Kwan;Cho, Sung-Min;Choi, Chul;Hwang, Hoon;Park, Chang-Choon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11a
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    • pp.669-672
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    • 2002
  • 최근 멀티미디어 기술의 급속한 발달로 인해 개인의 신원 확인, 보안 시스템 등의 영역에서 얼굴과 관련된 연구가 활발히 진행 되고 있다. 기존의 연구에서는 원거리 추적이 어려우며, 연산시간, 잡음(noise), 배경과 조명등에 따라 추적 효율이 낮은 단점을 가지고 있다. 본 논문에서는 빠르고 정확한 얼굴 추적을 위한 차 영상 기법(differential image method)을 이용한 분할영역(segmentation region)에서 움직임(motion)과 피부색(skin color) 특성 기반의 객체분할추적(Tracking Of Object segmentation) 방법을 이용하였다. 객체분할추적은 얼굴을 하나의 객체(object)로 인식하고 제안한 방법으로 얼굴 부분만 분할하는 단계와 얼굴특징추출 단계를 적용하여 피부색 기반의 연구에서 나타난 입력영상(Current Frame)에서의 유동적인 피부색의 노출 대한 얼굴 추적 연구의 문제점을 해결했다. 시스템은 현재 컴퓨터에 일반적으로 사용되는 카메라를 이용하여 구현 하였고, 실시간(real-time) 영상에서 비교적 성공적인 얼굴 추적을 하였다[4].

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