• Title/Summary/Keyword: shooting

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Development of Deep Learning Model for Detecting Road Cracks Based on Drone Image Data (드론 촬영 이미지 데이터를 기반으로 한 도로 균열 탐지 딥러닝 모델 개발)

  • Young-Ju Kwon;Sung-ho Mun
    • Land and Housing Review
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    • v.14 no.2
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    • pp.125-135
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    • 2023
  • Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.

(A) Study on the Priority Selection for business development of the Defense Education and Training System Based on Virtual Reality (가상현실 기반 국방 교육훈련체계 사업화 우선순위 선정에 관한 연구)

  • Lee, Se-Ho;Han, Seung-Jo
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.201-209
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    • 2022
  • In order for the military to review the introduction of virtual reality technology into various education and training systems and fully utilize it, it is important to reflect the characteristics of the technology and education system and to accurately identify and selectively apply the characteristics of commercialization. In this study, the evaluation criteria were selected through the Analitic Hierarchy Process (AHP) method for factors to be considered when commercializing a virtual reality-based education and training system, and the priorities of the projects were determined. Based on previous studies, an initial AHP model was constructed and the relative importance of six factors, including reality, was analyzed as the level 1 evaluation criteria. Next, for Level 2, each evaluation criterion was evaluated to confirm the importance of each of the 11 tasks in the six evaluation criteria, and priorities were selected for each task. As a result of the analysis, level 1 showed that reality and ripple had higher importance than other factors. As a result of evaluating the final relative importance, the priority was shown in the order of ① flight training, ② disaster training, ③ shooting Training, and ④ driving a vehicle. Based on the relative priorities determined in Levels 1 and 2 of the model presented in this study, the importance of each project necessary for final decision-making of the research priorities for the defense virtual reality project was presented. It is expected that this study can be used as a reference material for prioritizing the commercialization of education and training systems in the defense sector.

A Deep Learning-based Real-time Deblurring Algorithm on HD Resolution (HD 해상도에서 실시간 구동이 가능한 딥러닝 기반 블러 제거 알고리즘)

  • Shim, Kyujin;Ko, Kangwook;Yoon, Sungjoon;Ha, Namkoo;Lee, Minseok;Jang, Hyunsung;Kwon, Kuyong;Kim, Eunjoon;Kim, Changick
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.3-12
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    • 2022
  • Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.

Research on the Aesthetic Characteristics of Korean Director Jae-young Kwak's Love Films (한국감독 곽재용의 멜로영화 심미적 특성에 관한 연구)

  • Xin, Yuan
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.181-187
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    • 2019
  • The theme of "youth love film" is a strong point in the Korean film industry and has made remarkable achievements in the overseas market. Jae-young Kwak is a famous Korean film director and screenwriter. He is good at shooting "youth love film" with beautiful pictures, exquisite emotions and rich imagination. His films have unique charm and characteristics. This paper expounds the image style, characterization and theme. First of all, from the perspective of image style for this paper, analysis of the film is how to use different narratives and lens language to create a movie's atmosphere, makes the transfer of drunk the oriental beauty. Secondly, the main focus is on the director to find a new way to shape the characters in the film, and pay attention to the description of details, foreshadowing and explaining the plot. Thirdly, based on the theme, this paper analyzes the profound meaning behind romantic films, which reflect the yearning and pursuit of modern people, and people should pay attention to and think deeply. In the modern economic globalization, countries culture mutual exchanges and cooperation, South Korea many outstanding movie worth exploring and research, by studying the Jae-young director Kwak youth love films, excavate its popular film in the market of reason, analysis of the works reflect the aesthetic characteristics, which sums up the experience of the youth love film.

Characteristic of Film Music by Director Baz Luhrmann : Focusing on the Movies , and (바즈루어만 감독의 영화음악 특징 : 영화 <댄싱히어로>, <로미오와 줄리엣>, <물랑루즈>를 중심으로)

  • Kim, Youn-Sik;Kim, Young-Sam
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.223-230
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    • 2019
  • This paper aims to derive the specificity of film music of Baz Luhrmann, a Hollywood film director, focusing on his representative works such as Dancing Heroes, Romeo and Juliet, and Moulin Rouge. Frist, Dancing Heroes captures various dance music genres through dynamic shooting techniques and shows trendy sensibility by using the main theme song 'Time after Time,' sung by the main character, Tina. Second, Romeo and Juliet, the original work of Shakespeare, keeps thier lines and stories while decorating gorgeous fashion and rock music in jukebox style. Also, it is harmonized with the most modern and trendy MTV-style video. Third, Moulin Rouge presents film music through the 'mix and match' method, which consists of jukebox-type trendy songs containing classical back stage musical and Bollywood musical images. In conclusion, the style of Baz Luhrmann has been reborn as a unique way of directing Buz Luhrmann's film music that it is expressed by connecting various juke box style music with amazing visual effect. Through director's style, it is possible to suggest the direction of various film music to the industries.

Reproducing Summarized Video Contents based on Camera Framing and Focus

  • Hyung Lee;E-Jung Choi
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.85-92
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    • 2023
  • In this paper, we propose a method for automatically generating story-based abbreviated summaries from long-form dramas and movies. From the shooting stage, the basic premise was to compose a frame with illusion of depth considering the golden division as well as focus on the object of interest to focus the viewer's attention in terms of content delivery. To consider how to extract the appropriate frames for this purpose, we utilized elemental techniques that have been utilized in previous work on scene and shot detection, as well as work on identifying focus-related blur. After converting the videos shared on YouTube to frame-by-frame, we divided them into a entire frame and three partial regions for feature extraction, and calculated the results of applying Laplacian operator and FFT to each region to choose the FFT with relative consistency and robustness. By comparing the calculated values for the entire frame with the calculated values for the three regions, the target frames were selected based on the condition that relatively sharp regions could be identified. Based on the selected results, the final frames were extracted by combining the results of an offline change point detection method to ensure the continuity of the frames within the shot, and an edit decision list was constructed to produce an abbreviated summary of 62.77% of the footage with F1-Score of 75.9%

A Study on Freeze-Thaw Conditions Analysis of Soil Using Sentinel-1 SAR and Surface State Factor (Sentinel-1 SAR와 지표상태인자를 활용한 토양의 동결 융해 상태 분석 연구)

  • Yonggwan Lee;Jeehun Chung ;Wonjin Jang ;Jinuk Kim;Seongjoon Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.609-620
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    • 2023
  • In this study, we used Sentinel-1 C-band synthetic aperture radar to calculate the surface state factor (SSF) for distinguishing the frozen-thawed state of soil. The accuracy of SSF classification was analyzed through comparison with air temperature (AT), grass temperature (GT), and underground temperature (UT). For the analysis, 116 Sentinel-1B Descending nodes observed over a period of 4 years from 2017 to 2020 were established for the central region of South Korea. AT, GT, and UT data were obtained from 23 soil moisture observation points of the Rural Development Administration during the same period, and analyzed using the 06:00 am data adjacent to the shooting time of the Sentinel-1B images. The average accuracy and F1-score for all stations were 0.63 and 0.47 for AT, 0.63 and 0.48 for GT, and 0.57 and 0.21 for UT, respectively. For winter (December-February) data, the average accuracy and F1-score were 0.66 and 0.76 for AT, 0.67 and 0.76 for GT, and 0.47 and 0.44 for UT, respectively. The increase in accuracy during winter data may be attributed to the fact that errors occurring in other seasons are not included.

Development of future education programs through edutech utilization programs (에듀테크 활용 프로그램을 통한 미래교육 프로그램 개발)

  • Lee Min-hye
    • Journal of the International Relations & Interdisciplinary Education
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    • v.2 no.2
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    • pp.81-95
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    • 2022
  • The core of this study is to develop an edutech utilization program to be applied to 5th grade students by utilizing school curriculum time, and the conclusions based on the results of the study are as follows. First, for the development of future educational programs using edutech, a content preference survey was conducted and significant responses were confirmed from 27 teachers and 216 students, excluding missing values. In the future education implementation, UCC (video shooting, editing, etc.) and work activities (3D pen, 3D printer, etc.) were selected based on the need for separate edtech devices. Second, in order to develop a future education program using edutech, the future education class module was set in 4 stages based on previous research. First of all, in Make a foundation, theories by subject are developed, and in Open an activity, future education experience activities using key edutech are developed. In Organize evaluation, individual self-evaluation was conducted, and based on this, customized in-depth supplementary activities were conducted in Act individually. Third, in order for future education programs using edutech to be organized in the regular curriculum, sufficient connectivity with the curriculum must be secured. The basis for systematic and stable research was prepared by analyzing the curriculum of the 5th grade subject of the study and securing hours in connection with creative experiential activities. The data developed through this process were modified and supplemented based on the content validity test. The fact that the program application and verification steps were not performed is a limitation of this study, but it is expected that this program will expand the possibility of future education practice in the school field.

A Study on the Effect of Mobile CCTV Monitoring on Safety Risk Factors (안전 Risk 요인에 대한 이동형 CCTV 모니터링이 미치는 영향 연구)

  • Young Cheol Song;Tae-Gon Kim;Eunseok Lee;Tae-Hun Kim
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.39-45
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    • 2024
  • Dangerous tasks that occur every day at industrial site manufacturing plants, which have recently been making rapid changes, were classified by type, and the effect of mobile circuit television (CCTV) on safety accidents among daily safety management methods was analyzed. The subject of the study is about 3,000 workers who manage the infrastructure facility sector to supply utilities such as gas, water, and electricity to the display manufacturing process located in Asan City, and the study was conducted based on the daily dangerous work from 2019 to 2022, and during this study period, many construction works such as new investment and expansion of construction and manufacturing processes were occurring at the site. As a result, the rate of safety accidents and exposure to risks are expanding, and most of the safety accidents occurred because the sectors that did not follow the basics and the safety measures on the site were not implemented. In this paper, it was confirmed that there is an accident reduction effect according to the relationship between the dangerous work classified according to the work importance and the mobile CCTV shooting rate. Considering the characteristics of the manufacturing plant site, it can be used to play the role of basic data for preventing safety accidents based on the expansion of the introduction of a new safety management culture in the future.

Change in Growth and Tuber Quality as Influenced by Harvesting Time of Spring Potato (Solanum tuberosum L.) in the Southern Paddy Field (남부지역 논에서 수확시기별 봄감자의 생육 특성 및 괴경 상품성의 변화)

  • Seo Young Oh;Sung Hoon Kim;Jisu Choi
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.26 no.2
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    • pp.103-113
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    • 2024
  • The effect of harvesting time on the growth, marketable tuber yield, and tuber quality of spring potato (Solanum tuberosum L. cv. Dami) were analyzed in the southern paddy fields in order to determine the optimal harvesting time. At 30-50 days after flowering, the total and marketable tuber yields of spring potato reached their maxima and commercial tuber rate was also high. External defects such as tuber malformation or crack did not occur until 40 days after flowering, but after that, secondary growth such as shooting appeared. Among the nutrient compositions of tubers, carbohydrate content accounted for more than 60% of tuber dry weight without significant difference among harvesting times until 50 days after flowering. The crude protein content decreased slightly as the harvesting time was delayed. However, the mineral nutrient content of tubers decreased with delaying harvesting time and was lowest at 30-40 days after flowering. Therefore, the optimal harvesting time of spring potato was judged to be 30-40 days after flowering, when marketable tuber size and quality were great as less affected by high temperature or waterlogging under natural environmental conditions.