• Journal of Digital Convergence
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• v.15 no.12
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• pp.503-508
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• 2017

Screen X is one of the Premium Large-Format platforms. Screen X projects images and video along the side wall of the theatre that go in synch with the front main screen. It's a different way of immersing the audience. This technique demands film-makers taking the two new "screens" into account when making movies. Screen X is the most obvious feature of viewing content with a range of 270 degrees. Viewers can view the experience of viewing experiences beyond the frame of screen screens by allowing viewers to experience the experience beyond the frame of screen screens, which means screen X can immerse the audiences without 3D glasses. Based on the results of this study, studies of content specifications and how they fit in the screen X are studied, and goals for maximizing the visual effects of the visual effects are studied. Looking forward to future research paper researchers and industry professionals who will benefit from future research papers.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.5 s.305
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• pp.11-18
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• 2005

In this paper, we proposed a video watermarking algerian based on wavelet transform using statistical characteristic of video according to the energy distribution and the spread spectrum technique. In the proposed method, the original video is splitted by spatial difference metric and classified into the motion region and the motionless region according to the motion degree. The motion region is decomposed into 3-levels using 3D DWT and the motionless region is decomposed into 2-levels using 2D DWT The baseband of the wavelet-decomposed image is not utilized because of the image quality. So that the standard deviation of the highest subband coefficients except for the baseband is used to determine the threshold. Binary video watermarks preprocessed by the random permutation and the spread spectrum technique are embedded into selected coefficients. In computer experiments, the proposed algorithm was found to be more invisible and robust than the conventional algorithms.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.71-80
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• 2011

Recent terrain rendering applications such as 3D games and virtual reality, use GPU-based ray-casting method for rendering high-quality scenes in realtime. As the size of terrain dataset grows bigger, the rendering speed will be decreased by the increase of the number of texture samplings. To accelerate the conventional ray-casting, we propose an efficient ray casting method with subdivided bounding boxes which are based-on GPU quadtree traversal. The subdivision of the terrain's bounding box can reduce the empty spaces effectively. By performing the ray-casting with this compact bounding box, we can efficiently reduce computation with empty space skipping. Unlike the recent quadtree-based empty space skipping techniques which perform the tree traversal at each ray, our method traverses the tree only once per frame. Therefore, we can save much computational time.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.439-451
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• 2020

In order to deeply understand the significance of death aesthetics in contemporary art, this research first summarizes the development process of death aesthetics in art works with popular perspectives, and then classifies and discusses death aesthetics in modern art works. The results of this study are as follows: First, the aesthetic expressions of death are divided into two types: death reproducibility and death symbolism. Death reproducibility includes reproducibility of real objects and reproducibility of imaginary objects. The symbolism of death can be divided into external and internal manifestations. Secondly, in contemporary art, the reproducibility of death through the description of death scenes has increased the various problems and philosophical significance caused by death. Third, in contemporary art, the symbolism meaning of death is not just something directly related to death, it also shows the various psychological states brought about by death. Subsequent research will promote the artists' visual expression of the aesthetics of death in artworks, and the profound changes in meaning that result from it.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.297-320
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• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.585-594
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• 2011

On live performance such as play and musical, various stage effects are utilized to attract a diverse audience. These stage effects include traditional direction techniques, striking display effects and all kinds of ways of being immersed in the scene. In this paper, we propose a novel digital visual effects(digilog) for controlling the surface texture of objects based on spatial augmented reality. For this purpose, we present a method of neutralizing the appearance of an arbitrary object using a projector-camera system. To make the object appear as if it is a transparent object by projecting a carefully determined compensation image onto the surface of objects, we use the homography method for a simple and effective off-line projector-camera calibration. The successful uses of the basic algorithm of Smart Projector for measuring radiometric parameters led us believe that this method may be used for temporal variation of plays and musicals.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.377-380
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• 2018

인간의 추론 능력이란 문제에 주어진 조건을 보고 문제 해결에 필요한 것이 무엇인지를 논리적으로 생각해 보는 것으로 문제 상황 속에서 일정한 규칙이나 성질을 발견하고 이를 수학적인 방법으로 법칙을 찾아내거나 해결하는 능력을 말한다. 이러한 인간인지 능력과 유사한 인공지능 시스템을 개발하는데 있어서 핵심적 도전은 비구조적 데이터(unstructured data)로부터 그 개체들(object)과 그들간의 관계(relation)에 대해 추론하는 능력을 부여하는 것이라고 할 수 있다. 지금까지 딥러닝(deep learning) 방법은 구조화 되지 않은 데이터로부터 문제를 해결하는 엄청난 진보를 가져왔지만, 명시적으로 개체간의 관계를 고려하지 않고 이를 수행해왔다. 최근 발표된 구조화되지 않은 데이터로부터 복잡한 관계 추론을 수행하는 심층신경망(deep neural networks)은 관계추론(relational reasoning)의 시도를 이해하는데 기대할 만한 접근법을 보여주고 있다. 그 첫 번째는 관계추론을 위한 간단한 신경망 모듈(A simple neural network module for relational reasoning) 인 RN(Relation Networks)이고, 두 번째는 시각적 관찰을 기반으로 실제대상의 미래 상태를 예측하는 범용 목적의 VIN(Visual Interaction Networks)이다. 관계 추론을 수행하는 이들 심층신경망(deep neural networks)은 세상을 객체(objects)와 그들의 관계(their relations)라는 체계로 분해하고, 신경망(neural networks)이 피상적으로는 매우 달라 보이지만 근본적으로는 공통관계를 갖는 장면들에 대하여 객체와 관계라는 새로운 결합(combinations)을 일반화할 수 있는 강력한 추론 능력(powerful ability to reason)을 보유할 수 있다는 것을 보여주고 있다. 본 논문에서는 관계 추론을 수행하는 심층신경망(deep neural networks) 중에서 Sort-of-CLEVR 데이터 셋(dataset)을 사용하여 RN(Relation Networks)의 성능을 재현 및 관찰해 보았으며, 더 나아가 파라미터(parameters) 튜닝을 통하여 RN(Relation Networks) 모델의 성능 개선방법을 제시하여 보았다.

• Journal of Korea Entertainment Industry Association
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• v.14 no.1
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• pp.107-116
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• 2020

The Hong Kong film "Project Gutenberg" has obtained the great achievements at the box office and public reputation due to such multiple factors as realistic counterfeit banknote production process, breathtaking gunfight scenes, brain-burning plot, unexpected reversal ending, personal charm of Chow Yun-Fat and so on. In terms of film narrative, the director utilized the narrator, Li Wen, to guide the police and audience in the limited angle of perspective into the scheme, and make the symbolic meaning image of the actor Chow Yun-Fat stengthen the audience's confirmation for the imagination of "painter", with the introduction of multiple narratives and flashback of different characters and scenes, and then finally, used the narrative structure with multiple lines and layers to uncover the truth. There are three great reversals in the film, each of which is overthrow for the film plot, and every overthrow is a disavowal of the audience's cognition for the previous story; therefore it brings the greatly emotional tension, making the audience get complete release and relief in the process of the psychological game of cognition, identification and decision-making at the end.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.33-46
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• 2022

This study seeks to verify how empathic concern and perspective-taking predict happiness by investigating the mediating effects of cognitive reappraisal. Online surveys about empathic concern, perspective-taking, cognitive reappraisal, and happiness were conducted by 336 adult subjects. First, the correlation analysis indicated that empathic concern and perspective-taking significantly predicted cognitive reappraisal and happiness, respectively. Second, cognitive reappraisal also significantly predicted happiness. Third, the cognitive reappraisal mediated the association between empathic concern and happiness and between perspective-taking and happiness. Specifically, people who emotionally and cognitively empathize with others reported higher levels of cognitive reappraisal, which allowed them to experience higher levels of happiness. These findings have confirmed that people can increase their happiness by enhancing cognitive reappraisal through emotional and cognitive empathy. Finally, the implications and limitations of the present research are discussed.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.83-90
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• 2023

Blurred image is an important factor in lowering image recognition rates in Computer vision. This mainly occurs when the camera is unstablely out of focus or the object in the scene moves quickly during the exposure time. Blurred images greatly degrade visual quality, weakening visibility, and this phenomenon occurs frequently despite the continuous development digital camera technology. In this paper, it replace the modified building module based on the Deep multi-patch neural network designed with convolution neural networks to capture details of input images and Attention techniques to focus on objects in blurred images in many ways and strengthen the image. It measures and assigns each weight at different scales to differentiate the blurring of change and restores from rough to fine levels of the image to adjust both global and local region sequentially. Through this method, it show excellent results that recover degraded image quality, extract efficient object detection and features, and complement color constancy.