• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.144-145
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• 2016

디지털 컨텐츠는 UHD, 3D, 파노라마 영상 등 다양한 형태로 발전되고 있다. 그 중 파노라마 영상은 여러 영상을 정합하여 넓은 시야각을 제공하는 컨텐츠로 전문적인 기술자들을 중심으로 제작되고 있다. 또한 디지털 컨텐츠의 제작자는 전문가에서 일반인으로까지 범위가 확장되었고, 발전된 형태의 컨텐츠를 일반인이 스마트폰 등의 개인 단말로 손쉽게 제작할 수 있도록 해주는 컨텐츠 생성 기술이 발달되고 있다. 이에 본 논문에서는 일반 사용자들이 각각의 스마트폰 단말로 촬영한 여러 동영상들을 하나의 파노라마 영상으로 제작하기위한 기술 중, 각기 다른 스마트폰의 시간축을 이미지 매칭을 통해 하나의 통일된 시간축으로 동기화 시키는 기법에 관하여 연구하였다. 이를 위해, 본 논문에서는 동영상에서 시간정보로 이용하기 위한 오브젝트의 움직임이 포함된 시퀀스를 찾는 방법과 해당 시퀀스를 이용하여 다른 동영상과의 이미지 매칭으로 시간축을 동기화 시키는 방법을 제안한다.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1244-1253
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• 2018

The color of traffic light is sensitive to various illumination conditions. Especially it loses the hue information when oversaturation happens on the lighting area. This paper proposes a traffic light recognition method robust to these illumination variations. The method consists of two steps of traffic light detection and recognition. It just uses the intensity and saturation in the first step of traffic light detection. It delays the use of hue information until it reaches to the second step of recognizing the signal of traffic light. We utilized a deep learning technique in the second step. We designed a deep convolutional neural network(DCNN) which is composed of three convolutional networks and two fully connected networks. 12 video clips were used to evaluate the performance of the proposed method. Experimental results show the performance of traffic light detection reporting the precision of 93.9%, the recall of 91.6%, and the recognition accuracy of 89.4%. Considering that the maximum distance between the camera and traffic lights is 70m, the results shows that the proposed method is effective.

• The Journal of Information Systems
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• v.27 no.4
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• pp.229-249
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• 2018

Purpose The purpose of this paper is to conduct exploratory comparative research on the determinants of successful crowdfunding projects, focusing on multiple crowdfunding platforms in Korea, U.S., and Japan. Design/methodology/approach This study collected data from three representative crowdfunding platforms: Wadiz (Korea), Kickstarter (U.S.), and Readyfor (Japan). Based on 1,906 crowdfunding projects from Wadiz, 3,864 projects from Kickstarter, and 3,060 projects from Readyfor, multiple regression models were applied. Findings Focusing on the crowdfunding projects which have overly achieved goal amount, the analysis results show that the number of comments, the number of Facebook likes and the number of backers have an positive impact on the performance of crowdfunding projects, while target amount has a negative impact. Comparatively, word counts of project description have an impact on funding performance in U.S. and Japan, while the number of images in project description affects funding performance in Korea and U.S. Meanwhile, video clips in project description has little impact on crowdfunding performance in all of the three funding platforms.

• The Journal of Korea Robotics Society
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• v.17 no.2
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• pp.230-237
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• 2022

A technology that allows users to feel the elasticity of fabric through force feedback in the fashion and textile fields is very helpful to related manufacturing and sales areas. Currently bundle of fabrics, so called Swatch, is the only available way for the designer, manufacturer and the end-user to feel the fabrics. Images and video clips provide only visual characteristics, hence touch and stiffness are also very important characteristics to check beforehand. A study is conducted on a haptic device, which estimates the amount of change in the length of the virtual fabric and generates resistive force so that the user could feel the fabric stiffness. Since cables that can only transmit the tensile force are used, a force realization method is proposed, and it is verified numerically and experimentally.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.85-91
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• 2024

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.123-127
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• 2020

In order to obtain the overall fire line information of medium and large forest fires at night, the ground control system was developed to determine whether forest fires occurred through real-time video clips and to calculate the location of the forest fires determined using the location of drones, angle information of video cameras, and altitude information on the map to reduce the time required for regular video matches obtained after the completion of the mission. To verify the reliability of the developed function, the error distance of the aiming position information of the flight altitude star and the image camera was measured, and the location information within the reliable range was displayed on the map. As the function developed in this paper allows real-time identification of multiple locations of forest fires, it is expected that overall fire line information for the establishment of forest fire extinguishing measures will be obtained more quickly.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.3
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• pp.155-160
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• 2017

Recently, Deep learning has been used successfully to solve many recognition problems. It has many advantages over existing machine learning methods that extract feature points through hand-crafting. Deep neural networks for human activity recognition split video data into frame images, and then classify activities by analysing the connectivity of frame images according to the time. But it is difficult to apply to actual problems which has small-scale activity classes. Because this situations has a problem of overfitting and insufficient training data. In this paper, we defined 5 type of small-scale human activities, and classified them. We construct video database using 700 video clips, and obtained a classifying accuracy of 74.00%.

• Journal of dental hygiene science
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• v.11 no.1
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• pp.23-30
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• 2011

The purpose of this study was to examine the utilization of oral health education media among dental hygienists in charge of oral health education. The findings of the study were as follows. 1. In regard to the general utilization of educational media in possession by workplace, age and career, the dental hygienists who worked in public health clinics(42.4%), who were in their 40s and up(341.%) and whose career was six years or more(32.2%) made more use of the educational media. Those who didn't use the educational media cited time constraints as the most common reason(46.1%). 2. Models(53.2%) were highly preferred in most of the institutions where the dental hygienists worked, but the public health clinics(81.8%) and university hospitals(80.0%) were most fond of video clips. 3. Concerning preference for educational media by career, the dental hygienists whose career was between three and less than six years and who had a 10 years or more of career had the most liking for video clips, followed by models. Those whose career was between one to less than three years and between six and less than 10 years showed the most preference for models, followed by video clips. 4. As for their perception of the necessity of educational media, the majority felt the need for the media(87.5%). Regarding difficulties in purchasing necessary educational media, the biggest group pointed out a shortage of information(56.1%).

• Journal of The Korean Association For Science Education
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• v.38 no.6
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• pp.765-780
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• 2018

The purpose of this study is to synthesize the theoretical perspectives, research methods, and research results of teachers' professional vision by reviewing and analyzing previous research papers and to suggest implications for science teacher education and research. Three databases were used to search peer reviewed journal articles published between 1997-2017, which include 'teachers' and 'professional vision' explicitly in abstracts and empirical studies only. 21 articles in total were analyzed and review results are as follows. First, researchers regarded professional vision as a new concept of teacher professionalism. Previous research viewed professional vision as integrated structure of teachers' knowledge or ability activated at specific moment. Second, the analytical framework of professional vision included two aspects; 'selective attention' and 'reasoning'. Several aspects of lessons or the desirable teaching and learning factors are suggested as the subcategories of selective attention. Hierarchical levels or independent reasoning ability factors are suggested as the subcategories of reasoning process. Third, research on teachers' professional vision focused more on middle school teachers than elementary teachers and on various subject areas. Most studies used video clips and more cases of using videos of non-participants were found. In case of measurement of professional vision, most quantitative scoring methods were whether the responses of experts and teachers on video clips were consistent. Last, most studies examined or assessed teachers' professional vision. It is reported that in-service teachers' professional vision was evaluated higher than novice teachers' and using video clips were effective to examine and improve teachers' professional vision.

• Journal of The Korean Association For Science Education
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• v.30 no.6
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• pp.836-849
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• 2010

The purpose of this study is to analyze changes of competency observed in teaching of pre-service science teachers through the teaching evaluation and reflective journal writings on science class during the period of student-teaching at high school. To do this, we videotaped all the science classes of six pre-service teachers participating in this study, evaluated their class teachings, and collected moving video clips recorded in their classes, reflective journals, interviews, instructional materials, and teaching evaluation they have provided. From the "Standards for teaching evaluation of science instruction" developed by Korea Education Curriculum and Assessment, sixteen evaluation elements were selected and used for the analysis. According to our results, all preservice teachers show improvement of teaching performance in most of the class evaluation elements as the number of science classes increases. They presented the lowest improvement in the 'to design meaningful learning program,' which was one of the sixteen elements. However, there are substantial individual differences in the pre-service teachers' teaching competence on each evaluation element. Although they thought that 'understanding of scientific concepts' is the most important part of a science class in the beginning of student-teaching training, they showed changes in recognition that 'interaction and respect' and 'managing student behaviors' are also important in the end. They have recognized that writing a reflective journal, based on the video clips recorded in class and teaching evaluation, helps improve their teaching competency. In addition, improvement in teaching competency has influence upon career-orientation towards the school teacher in the future.