• Title/Summary/Keyword: Video analysis system

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Exploring the Moderating Effect of Difficulty in Recognized Curriculum Task on the Mediator Model of Interesting and Learning Motivation on Flow in Distant PBL Classes of Pre-service Teachers (예비교사들의 원격 PBL 수업에서 몰입에 대한 흥미수준과 학습동기의 매개모형에 미치는 인식된 교육과정 과제난이도의 조절효과 탐색)

  • Lee, Eun-Chul
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.594-603
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    • 2021
  • This study explored the moderating effects of task difficulty for flow, learning motivation, and interesting in distant PBL classes of pre-service teachers. For this, the research model was constructed by analyzing previous studies. The research model verification was conducted by 105 students of taking courses in the curriculum. The distant PBL used a real-time video conference system. Cooperative activities were carried out in real time. After the end of the distant PBL activity, the level of learning motivation, interesting, flow, and task difficulty perception were measured. The collected data were analyzed using a test of the structural model invariance across the groups using a structural equation model. This analysis verifies the difference in path coefficients between measurement models. The control effect of task difficulty was verified through the difference in path coefficient. As a result, it was verified that interesting mediates the influence of learning motivation on flow. And the moderating effect of the perceived task difficulty appeared on the path from learning motivation to interesting.

An Input Method for Decimal Password Based on Eyeblink Patterns (눈깜빡임 패턴에 기반한 십진 패스워드 입력 방법)

  • Lee, Seung Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.656-661
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    • 2022
  • Password with a combination of 4-digit numbers has been widely adopted for various authentication systems (such as credit card authentication, digital door lock systems and so on). However, this system could not be safe because the 4-digit password can easily be stolen by predicting it from the fingermarks on the keypad or display screen. Furthermore, due to the prolonged COVID-19 pandemic, contactless method has been preferred over contact method in authentication. This paper suggests a new password input method based on eyeblink pattern analysis in video sequence. In the proposed method, when someone stands in front of a camera, the sequence of eyeblink motions is captured (according to counting signal from 0 to 9 or 9 to 0), analyzed and encoded, producing the desired 4-digit decimal numbers. One does not need to touch something like keypad or perform an exaggerated action, which can become a very important clue for intruders to predict the password.

Development and Application of an Online-based Arduino Programming Experience Program

  • Eun-Sang, Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.179-187
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    • 2023
  • The purpose of this study was to develop and apply an online-based Arduino programming experience program. In this study, the program was developed and applied based on the contents presented in the ADDIE model and Lee's model. The results of this study were as follows. First, two types of educational program were developed for online use by students of the free semester system. Second, the program content included practical materials such as teaching websites and video lectures. Third, the developed program was applied a total of three times in the school environment and when the student did not attend school. Fourth, analysis of student satisfaction confirmed that the students were satisfied with the development program. The content of this study will serve as a reference for instructors who plan online-based hands-on activities in places where instructors are not readily available, such as islands or mountainous areas.

Recognition of Events by Human Motion for Context-aware Computing (상황인식 컴퓨팅을 위한 사람 움직임 이벤트 인식)

  • Cui, Yao-Huan;Shin, Seong-Yoon;Lee, Chang-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.4
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    • pp.47-57
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    • 2009
  • Event detection and recognition is an active and challenging topic recent in Computer Vision. This paper describes a new method for recognizing events caused by human motion from video sequences in an office environment. The proposed approach analyzes human motions using Motion History Image (MHI) sequences, and is invariant to body shapes. types or colors of clothes and positions of target objects. The proposed method has two advantages; one is thant the proposed method is less sensitive to illumination changes comparing with the method using color information of objects of interest, and the other is scale invariance comparing with the method using a prior knowledge like appearances or shapes of objects of interest. Combined with edge detection, geometrical characteristics of the human shape in the MHI sequences are considered as the features. An advantage of the proposed method is that the event detection framework is easy to extend by inserting the descriptions of events. In addition, the proposed method is the core technology for event detection systems based on context-aware computing as well as surveillance systems based on computer vision techniques.

A Research on Image Metadata Extraction through YCrCb Color Model Analysis for Media Hyper-personalization Recommendation (미디어 초개인화 추천을 위한 YCrCb 컬러 모델 분석을 통한 영상의 메타데이터 추출에 대한 연구)

  • Park, Hyo-Gyeong;Yong, Sung-Jung;You, Yeon-Hwi;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.277-280
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    • 2021
  • Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

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Research on Audiovisual Type Preservation Format Selection Criteria and Recommended Formats: Focusing on Audio Types (시청각 유형 보존포맷 선정기준 및 권고포맷 연구 - 오디오 유형을 중심으로 -)

  • Hanyeok Jeon;Dongmin Yang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.35 no.1
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    • pp.273-300
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    • 2024
  • In the electronic records environment, along with discussions on ways to digitize analog records, it is important to prepare preservation strategies for each type of records produced and received electronically. In the same context, there is a need for discussion on applying a preservation format selection system with the goal of long-term preservation of data sets and audio-visual type electronic records other than document types. Audiovisual records must apply preservation strategies appropriate to the characteristics of each medium, such as images, audio, and video. This study establishes unique standards for selecting a preservation format for audio-visual electronic records through analysis of Significant Properties based on literature review, composed audio-type preservation format suitability evaluation items, and proposed a recommended format based on the results of applying them.

A Study on the Characteristics of Onomatopoeia Subtitle in Korean and Chinese Variety TV Shows Based on Writing System (문자 체계에 따른 한중 예능 프로그램의 의성어 자막 특성 연구)

  • Wen Liang;Yoojin Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.243-251
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    • 2024
  • As digital video communication technology advances and global interactions become more frequent, cultural barriers between countries are gradually diminishing. Subtitles in TV content reflect the writing systems and cultural contexts of different countries, aiding in the comprehension of program content. However, when comparing subtitles between countries with different writing systems, variations in format and the representation of onomatopoeic expressions become apparent. Therefore, this study focuses on analyzing the differences and peculiarities in the onomatopoeic subtitles of Korean and Chinese variety shows, which are based on distinct writing systems. Through this analysis, the study aims to understand how differences in writing systems influence the representation of onomatopoeic subtitles and viewer experience. This investigation is expected to provide creative inspiration for variety show producers and facilitate cross-cultural communication.

A Study on the Impact Factors of Contents Diffusion in Youtube using Integrated Content Network Analysis (일반영향요인과 댓글기반 콘텐츠 네트워크 분석을 통합한 유튜브(Youtube)상의 콘텐츠 확산 영향요인 연구)

  • Park, Byung Eun;Lim, Gyoo Gun
    • Journal of Intelligence and Information Systems
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    • v.21 no.3
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    • pp.19-36
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    • 2015
  • Social media is an emerging issue in content services and in current business environment. YouTube is the most representative social media service in the world. YouTube is different from other conventional content services in its open user participation and contents creation methods. To promote a content in YouTube, it is important to understand the diffusion phenomena of contents and the network structural characteristics. Most previous studies analyzed impact factors of contents diffusion from the view point of general behavioral factors. Currently some researchers use network structure factors. However, these two approaches have been used separately. However this study tries to analyze the general impact factors on the view count and content based network structures all together. In addition, when building a content based network, this study forms the network structure by analyzing user comments on 22,370 contents of YouTube not based on the individual user based network. From this study, we re-proved statistically the causal relations between view count and not only general factors but also network factors. Moreover by analyzing this integrated research model, we found that these factors affect the view count of YouTube according to the following order; Uploader Followers, Video Age, Betweenness Centrality, Comments, Closeness Centrality, Clustering Coefficient and Rating. However Degree Centrality and Eigenvector Centrality affect the view count negatively. From this research some strategic points for the utilizing of contents diffusion are as followings. First, it is needed to manage general factors such as the number of uploader followers or subscribers, the video age, the number of comments, average rating points, and etc. The impact of average rating points is not so much important as we thought before. However, it is needed to increase the number of uploader followers strategically and sustain the contents in the service as long as possible. Second, we need to pay attention to the impacts of betweenness centrality and closeness centrality among other network factors. Users seems to search the related subject or similar contents after watching a content. It is needed to shorten the distance between other popular contents in the service. Namely, this study showed that it is beneficial for increasing view counts by decreasing the number of search attempts and increasing similarity with many other contents. This is consistent with the result of the clustering coefficient impact analysis. Third, it is important to notice the negative impact of degree centrality and eigenvector centrality on the view count. If the number of connections with other contents is too much increased it means there are many similar contents and eventually it might distribute the view counts. Moreover, too high eigenvector centrality means that there are connections with popular contents around the content, and it might lose the view count because of the impact of the popular contents. It would be better to avoid connections with too powerful popular contents. From this study we analyzed the phenomenon and verified diffusion factors of Youtube contents by using an integrated model consisting of general factors and network structure factors. From the viewpoints of social contribution, this study might provide useful information to music or movie industry or other contents vendors for their effective contents services. This research provides basic schemes that can be applied strategically in online contents marketing. One of the limitations of this study is that this study formed a contents based network for the network structure analysis. It might be an indirect method to see the content network structure. We can use more various methods to establish direct content network. Further researches include more detailed researches like an analysis according to the types of contents or domains or characteristics of the contents or users, and etc.

A study on effects of landscape design of road tunnel portal to interior lighting of tunnels (도로터널의 갱구부 경관설계가 터널 내부조명에 미치는 영향에 관한 연구)

  • Lee, Mi-Ae;Lee, Dong-Hee
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.15 no.5
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    • pp.497-504
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    • 2013
  • This research uses numerical analysis to examine the tunnel portal landscape affecting the brightness level of interior lighting when designing lights for road tunnels through the L20 method. In order to extract the brightness recognition per form of a tunnel entrance and to evaluate the effects of the characteristics of the materials of facilities near a tunnel portal, brightness analysis was conducted by filming brightness on a video photometer called Hi-land Elf System, and a surface brightness photometer called LMK Mobile Advanced. Tunnels in Korea are mostly distributed in mountain areas; thus, the ratio occupied by the sky, which has the highest brightness within the angle of L20, is close to zero, while most of the ratio was occupied by brightness by the area near the tunnel entrance or road surface. However, for a tunnel portal retaing wall, which allows the width of a tunnel entrance to seem wider within the L20 angle, appeared to be have higher brightness compared to nearby areas or the surface, which is an element increasing the tunnel portal brightness within the tunnel, and the road facilities near the tunnel portal appeared to have an effect on the brightness as well. Thus, when designing tunnel lights based on brightness, the form of the tunnel entrance and the area width, material, and color of areas near the tunnel portal appeared to affect outside brightness and become an element affecting the establishment of the brightness level of the interior lights of tunnels. Consequently, reviewing such matters is a prerequisite when designing tunnel portal landscape.

Analysis of the Change in the Area of Haeundae Beach Based on Wave Characteristics (파랑특성을 고려한 해운대 해수욕장의 해빈면적 변화에 관한 연구)

  • Kim, Jong-Beom;Kim, Jong-Kyu;Kang, Tae-Soon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.324-339
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    • 2021
  • In this study, we determined the correlation between the wave characteristics and the change in the area of Haeundae Beach, conducted regression analysis between the wave characteristics and the change in beach area, and derived a formula for calculating the change in beach area. The change in beach area was calculated by applying the derived formula to wave observation data corresponding to a period of approximately 10 months, and the formula was subsequently validated by comparing the obtained results with the observed area. It is found that the error associated with the formula for calculating the change in beach area ranges from 1.5 m to 2.7 m based on the average beach width, and the correlation coefficient corresponding to the observed area ranges from 0.91 to 0.94. Furthermore, it is observed that the change in beach area is af ected by the wave direction in the western zone, wave height in the central zone, and wave height and wave period in the eastern zone. These results can contribute to understanding the impact of a coastal improvement project on the beach area fluctuation characteristics of Haeundae Beach and the ef ectiveness of such a coastal improvement project. By applying the aforementioned derived formula to highly accurate wave prediction data, the change in beach area can be calculated and incorporated for predicting significant long-term changes in beach areas. Furthermore, such a prediction can be considered as the basis for making decisions while establishing preemptive countermeasure policies to prevent coastal erosion.