• Title/Summary/Keyword: Image Media

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The Magnetic Properties and Microstrostrures for FeMX(M=Mo, Ta, X=N, C) Films. (FeMX(M=Mo, Ta, X=N, C) 박막의 자기 특성 및 미세구조 변화)

  • Shin, D.H.;Choi, W.;Kim, H.J.;Nam, S.Y.;Ahn, D.H.
    • Journal of the Korean Magnetics Society
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    • v.5 no.5
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    • pp.874-879
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    • 1995
  • Magnetic properties of FeMoN, FeMoTaN, FeTaN and FeTaC films deposited by DC magnetron reactive sputter were investigated, and correlated with their microstructure. FeMoN films were not showen the soft magnetic prop¬erties, because of generated $Fe_{2}Mo$, $Fe_{3-2}N$ and $Fe_{4}N$ phases. Ta added films, however, effectivly retarded the $\alpha$-Fe grain growth and suppressed the generation of Fe nitrides or carbides during heat treatement. The soft magnetic properties of $B_{s}:15\;kG,\;H_{e}:0.25\;Oe,\;\mu':4000(at\;5\;MHz),\;and\;B_s:14.5\;kG,\;He:0.25\;Oe,\;\mu':2700(5MHz)$ were observed in $Fe_{78.8} Ta_{8.5}N_{12.7}\;and\;Fe{75.6}Ta_{8.1}C_{16.3}$ films, respectively.

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Face Super-Resolution using Adversarial Distillation of Multi-Scale Facial Region Dictionary (다중 스케일 얼굴 영역 딕셔너리의 적대적 증류를 이용한 얼굴 초해상화)

  • Jo, Byungho;Park, In Kyu;Hong, Sungeun
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.608-620
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    • 2021
  • Recent deep learning-based face super-resolution (FSR) works showed significant performances by utilizing facial prior knowledge such as facial landmark and dictionary that reflects structural or semantic characteristics of the human face. However, most of these methods require additional processing time and memory. To solve this issue, this paper propose an efficient FSR models using knowledge distillation techniques. The intermediate features of teacher network which contains dictionary information based on major face regions are transferred to the student through adversarial multi-scale features distillation. Experimental results show that the proposed model is superior to other SR methods, and its effectiveness compare to teacher model.

Reproduction based Multi-Contents Distribution Platform

  • Lee, Byung-Duck;Lee, Keun-Ho;Han, Seong-Soo;Jeong, Chang-Sung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.695-712
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    • 2021
  • As the use of smart devices is being increased rapidly by the development of internet and IT technology, the contents production and utilization rate are showing higher increase, too. In addition, the type of contents also shows very diverse forms such as education, game, video, UCC, etc. In the meantime, the contents are reproduced in diverse forms by reprocessing the original contents, and they are being serviced through the contents service platform. Therefore, the platform to make the contents reprocessing easy and fast is needed. As the diverse contents distribution channels such as YouTube, SNS, App Service, etc, easier contents distribution platform is needed, and the development of the relevant area is expected. In addition, as the selective consumption of the contents having easy accessibility through diverse smart devices is distinguished, the demand for the platform and service that can identify the contents consumption propensity by individual is being increased. Therefore, in this study, to vitalize the online contents distribution, the contents reproduction and publishing platform, was designed and materialized, which can reproduce and distribute the contents based on the real-time contents editing technology in URL unit and the consumer propensity analysis technology using the data management-based broadcasting contents distribution metadata technology and the edited image contents streaming technology. In addition, in the results of comparing with other platforms through the experiment, the performance superiority of the suggested platform was verified. If the suggested platform is applied to the areas of education, broadcasting, press, etc, the multi-media contents can be reproduced and distributed easily, through which the vitalization of contents-related industry is expected.

A Study on the Experimental Animation and Movement Expression of Norman McLaren (노먼 맥라렌의 실험적 애니메이션과 움직임 표현 연구)

  • Hong, Il-Yang
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.458-465
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    • 2019
  • Experimental animation is an independent art animation and a visual art that is integrated with the spirit of experimentation. Norman McLaren pursues original beauty in each piece through scientific exploration of visual expression technology and experiment that transcends common sense with great creativity and sensitivity, and the aesthetic value of animation is very high as the master of experimental animation that has brought innovation of real image media today. Therefore, it is meaningful to analyze the experimental expressions of Norman McLaren, who expanded the field of experimental animation by challenging various techniques and carried out a ceaseless search for motion creation between each frame, and to study the expressions of movement he focused on. The most significant feature of his movement expression was analyzed as repetition of motion and repetition of metamorphosis. I hope that this derivation will be understood as experimental animation of experimental method which requires more specific type of inquiry than simple question about experimental method. Also, I hope that it will be meaningful as a preliminary study to deeply explore the possibility and direction of animation creation in university education.

Camera and LiDAR Sensor Fusion for Improving Object Detection (카메라와 라이다의 객체 검출 성능 향상을 위한 Sensor Fusion)

  • Lee, Jongseo;Kim, Mangyu;Kim, Hakil
    • Journal of Broadcast Engineering
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    • v.24 no.4
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    • pp.580-591
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    • 2019
  • This paper focuses on to improving object detection performance using the camera and LiDAR on autonomous vehicle platforms by fusing detected objects from individual sensors through a late fusion approach. In the case of object detection using camera sensor, YOLOv3 model was employed as a one-stage detection process. Furthermore, the distance estimation of the detected objects is based on the formulations of Perspective matrix. On the other hand, the object detection using LiDAR is based on K-means clustering method. The camera and LiDAR calibration was carried out by PnP-Ransac in order to calculate the rotation and translation matrix between two sensors. For Sensor fusion, intersection over union(IoU) on the image plane with respective to the distance and angle on world coordinate were estimated. Additionally, all the three attributes i.e; IoU, distance and angle were fused using logistic regression. The performance evaluation in the sensor fusion scenario has shown an effective 5% improvement in object detection performance compared to the usage of single sensor.

#Looksperfectgram: The Relationship between Perfectionistic Self-Presentation, Self-Construal, Self-Efficacy and Intention to Use Instagram (개인특성에 따른 인스타그램 사용의도: 완벽주의적 자기제시, 자기효능감, 자아해석을 중심으로)

  • Ahn, Gayoung;Han, Eun-Kyoung
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.317-329
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    • 2019
  • Instagram, a photo and image centered social networking service, has received increasing attention these days, from scholars and practitioners. However, little is known about the social and psychological factors that lead consumers to use this service. To provide a baseline understanding on Instagram users, the current study was conducted to discover perfectionistic self-presentation tendency expressed by the Instagram users and explore the relationships between identified perfectionistic self-presentation and intention to use Instagram variables with 250 participants. In addition, this study tried to determine the moderator effect of self-efficacy and self-construal. A comprehensive survey was directed and a total of 380 participants were recruited to verify anticipated hypotheses and research questions. The research results suggest that perfectionistic self-presentation has five sub factors: others conscious self-presentation, subjective self-presentation, environmental adaptation self-presentation, self-expansion self-presentation, and social self-presentation. The implications of this research findings are discussed.

Study on the Localization Concordance of Video and Audio (시선에 따른 영상 음향 정위 일치에 관한 연구)

  • Lee, Kyou-Won;Choi, Hae-Geun;Park, So-Youn;Park, Goo-Man;Kim, Seong-Kweon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1293-1300
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    • 2018
  • The $360^{\circ}$ video has a lot of image information and usefulness; however, the position of the audio source judged by hearing is different from the position on the screen. Therefore, human feels tired, the immersion decrease and user cant watch the video for Moreer time. In this paper, the concordance rate of the video and the audio localization is defined. The rate is expressed in a percentage. It means how much the system makes the sound localization real according to the position of the source on the screen. With this rate, the audio localization performance of immersive audio producing and playing system can be evaluated. It will be helpful for developers to make the higher performance system and expected to contribute to make makinguality system with reality.

Implementing Renderer for Viewport Dependent 360 Video (사용자 시점 기반 360 영상을 위한 렌더러 구현)

  • Jang, Dongmin;Son, Jang-Woo;Jeong, JongBeom;Ryu, Eun-Seok
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.747-759
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    • 2018
  • In this paper, we implement viewport dependent tile partitioning for high quality 360 video transmission and rendering method to present a HMD (Head Mounted Display) screen for 360 video quality evaluation. As a method for high-quality video transmission based on a user's viewport, this paper introduces MCTS (Motion Constrained Tile Sets) technique for solving the motion reference problem and EIS (Extraction Information Sets) SEI including pre-configured tile information, and extractor that extracts tiles. In addition, it explains tile extraction method based on user's viewport and implementation contents of the method of expressing on an HMD. Therefore, if 360 video is transferred by the proposed implementation which only transfers video from the user viewport area, it is possible to express higher quality video with lower bandwidth while avoiding unnecessary image transmission.

Armed person detection using Deep Learning (딥러닝 기반의 무기 소지자 탐지)

  • Kim, Geonuk;Lee, Minhun;Huh, Yoojin;Hwang, Gisu;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.780-789
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    • 2018
  • Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.

Pair Correlation Analysis of Reaction-Diffusion Halftoning (반응-확산 하프토닝의 공간영역신호 분석)

  • Jho, Chueng-woon
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.648-653
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    • 2018
  • Analysis of a specific wavelength band of a video signal is an old research field. However, studies on the analysis of signals having the characteristics of a specific wavelength band or the generation of samples have been conducted actively in recent years. In this paper, we analyze the signal of digital halftoned image. The interpretation of halftoning in terms of signals was first made by Ulichney. We have come to the view that the signal characteristics between pixels used for half toning are good for blue noise. Lau has developed a halftoning method that uses green-noise characteristics by using output-dependent feedback as an error diffusion method. Jho has developed a method for producing halftoned images using a reaction diffusion model. In this paper, we analyze reaction diffusion halftoning in terms of signal to show green noise and compare it with existing green noise half tone.