• Title/Summary/Keyword: Movie Information

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Real 3-D Shape Restoration using Lookup Table (룩업 테이블을 이용한 물체의 3-D 형상복원)

  • Kim, Kuk-Se;Lee, Jeong-Gi;Song, Gi-Beom;Kim, Choong-Won;Lee, Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.5
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    • pp.1096-1101
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    • 2004
  • The 3-D shape use to effect of movie, animation, industrial design, medical treatment service, education, engineering etc.... But it's not easy to make 3-D shape from the information of 2-D image. There are two methods in restoring 3-D video image through 2-D image; First the method of using a laser; Secondly the method of acquiring 3-D image through stereo vision. Instead of doing two methods with many difficulties, I figure out the method of simple 3-D image in this research paper. We present here a simple and efficient method, called direct calibration, which doesn't require any equations at all. The direct calibration procedure builds a lookup table(LUT) linking image and 3-D coordinates by a real 3-D triangulation system. The LUT is built by measuring the image coordinates of a grid of known 3-D points, and recording both image and world coordinates for each point; the depth values of all other visible points are obtained by interpolation.

A Case Analysis of Entry in Global Education Market focused on Public Education : The Entry of G-Learning(Game Based Learning) into a Public School System in USA (공교육 중심의 해외 교육시장 진출 사례 분석: G러닝(게임 기반 교수학습 방법)의 미국 공교육 진출)

  • Wi, Jong-Hyun;Won, Eun-Sok
    • International Commerce and Information Review
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    • v.15 no.2
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    • pp.109-128
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    • 2013
  • With the growth of contents business, the expansion of domestic culture contents into global market became active. However, while some field such as game, music and movie have made fine results, education contents has failed to make significant success in global market. Therefore, this study intends to look into a case of Contents Management Institute(CMI), which spread G-Learning into La Ballona Elementary School located in LA. In this case, CMI successfully dealt with diverse difficulties to conduct a G-Learning class in the school and helped to increase students' achievement. Based on analyzing this case, this study suggests three reasons behind the success. First, by separating platform and learning contents in development process, CMI could save the cost in contents development and handle problems swiftly. Second, it could be possible to use human resources efficiently by constucting a support organization. Third, by sharing information and doing persuasion CMI could lead to chain persuasion process among local decision makers.

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Web-based Medical Image Presentation (웹기반 의료영상 프레젠테이션)

  • 김동현;송승헌;김응곤
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.5
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    • pp.964-971
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    • 2003
  • According to the development of information processing technology and computer hardware, PACS systems have been installed in many hospitals. They can increase the efficiency and the convenience remarkably for handling medical images using digitalized data. After we compare the generation images with other cases, we can read the images correctly and decide how to treat the patients. If the results, included test method and specialist's opinion, are represented dynamically on homepage in hospital. then visitors can get their experience in directly and understand the field of examination and the area of medical treatment. In this thesis, we display the effective images such as MR of the abnormal cases according to parts and diseases, the movie and still images such as Angio image, the other multimedia materials such as the sound and text of doctor's opinions, in SMIL based on XML, concerning the problem of concurrency.

Optimal Associative Neighborhood Mining using Representative Attribute (대표 속성을 이용한 최적 연관 이웃 마이닝)

  • Jung Kyung-Yong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.4 s.310
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    • pp.50-57
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    • 2006
  • In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

Violent Behavior Detection using Motion Analysis in Surveillance Video (감시 영상에서 움직임 정보 분석을 통한 폭력행위 검출)

  • Kang, Joohyung;Kwak, Sooyeong
    • Journal of Broadcast Engineering
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    • v.20 no.3
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    • pp.430-439
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    • 2015
  • The demand of violence detection techniques using a video analysis to help prevent crimes is increasing recently. Many researchers have studied vision based behavior recognition but, violent behavior analysis techniques usually focus on violent scenes in television and movie content. Many methods previously published usually used both a color(e.g., skin and blood) and motion information for detecting violent scenes because violences usually involve blood scenes in movies. However, color information (e.g., blood scenes) may not be useful cues for violence detection in surveillance videos, because they are rarely taken in real world situations. In this paper, we propose a method of violent behavior detection in surveillance videos using motion vectors such as flow vector magnitudes and changes in direction except the color information. In order to evaluate the proposed algorithm, we test both USI dataset and various real world surveillance videos from YouTube.

An Analysis on the Internet Uses and Barriers of the Older Adults in Korea (고령층의 인터넷 활용 및 장애 요인 분석)

  • Kim, Heesop;Kim, Pansoo;Lee, Misook
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.1
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    • pp.257-276
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    • 2014
  • The purpose of this study is to investigate the patterns and barriers of the Internet for the elderly adults in Korea. Data was collected through the face to face interview using a questionnaire for the residence of Daegu and Kyungsang Buk-Do areas targeted over the 60-years-olds elder adults. A total of 119 valid response data were analyzed with the descriptive statistics and the group differences by age and gender using SPSS 18.00. It found that the most of the elder adults access the Internet to seek the entertainment contents, the knowledge-related contents, and the cultural and art contents. They spend most of the Internet online session to do searching information and enjoying movie and music. However, there were age differences and gender differences within the subjects. The complexity of computer and the Internet usage is one of the barriers for the Internet access, and they suggest that a customized education and training courses of computer literacy for the elderly adults would be the ways of resolve those obstructions.

An Exploration of Factor's of Service Quality influencing at User's Satisfaction and Distribution Channel of the Digital Contents (디지털 콘텐츠 사용자의 만족에 영향을 주는 서비스 품질 요인 및 유통 채널 탐색에 관한 연구)

  • Suh, Jung Han;Bae, Soonh Han;Kim, Young Gook;Choi, Jae Young
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.4
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    • pp.183-198
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    • 2011
  • With the recent development of IT technology, the existing contents have been digitalized through various distribution channels. Accordingly, a lot of studies have been done in order to figure out the distribution and features of digital contents, In these studies, however, categorical characteristics of digital contents were not considered ; most of the previous researchers saw digital contents as only a single item or focused on some contents within particular part such as movie, music, etc. So, this study divides digital contents into movies, music and texts. I was going to study which factors affect Customer Satisfaction in relation with the kind of contents. With SERVQUAL as independent variables, which affect the Customer satisfaction, I used five factors :Design Quality, Information Quality, Security Quality, Communication Quality and Transaction Quality. As for the detailed items, I corrected them with Open-End Question and Pre Survey Research, which are more fit into the features of digital contents. This research conducted Principle Component Analysis, Reliability Test, Correlation Analysis and Regression Analysis. I verified that each factor of Service Qualities has a positive effect on Customer Satisfaction. Moreover, the factors of the effect are different according to the kind of digital contents. This paper was added Exploratory Study to find the best distribute channel. For the study, I search the possible distribute channel in each digital contents and their characteristic.

Pet Shop Recommendation System based on Implicit Feedback (암묵적 피드백 기반 반려동물 용품 추천 시스템)

  • Choi, Heeyoul;Kang, Yunhee;Kang, Myungju
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1561-1566
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    • 2017
  • Due to the advances in machine learning and artificial intelligence technologies, many new services have become available. Among such services, recommendation systems have already been successfully applied to commercial services and made profits as in online shopping malls. Most recommendation algorithms in commercial services are based on content analysis or explicit feedback rates as in movie recommendations. However, many online shopping malls have difficulties in content analysis or are lacking explicit feedbacks on their items, which results in no recommendation system for their items. Even for such service systems, user log data is easily available, and if recommendations are possible with such log data, the quality of their service can be improved. In this paper, we extract implicit feedback like click information for items from log data and provide a recommendation system based on the implicit feedback. The proposed system is applied to a real in-service online shopping mall.

A Study on IPTV Video Quality by Routing Protocols in Wireless LAN (무선 LAN 환경에서 경로 배정 프로토콜에 따른 IPTV 영상 서비스 품질에 관한 연구)

  • Jung, Jae-hoon;Park, Seung-seob
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.572-575
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    • 2009
  • With the advent of integration environment of broadcasting and communication, IPTV has been widely used. It provides services such as information, movie contents and broadcasting through TV using super-high speed networks. Developments of Wireless LAN and IP network technology create various and fusional services such as IPTV, VoIP that are based on IP network. The development of Wireless LAN is very important in IPTV network field which requires the best quality of service on the security, QoS and bandwidth. In this Paper, We configure the experimental network in its RIP and OSPF environment to test the Video Quality of IPTV in Wireless LAN. We measure and evaluate broadcasting quality by using PSNR to show the corelation of Routing Protocols in Wireless LAN in which how they affect to the IPTV real-time Video Quality.

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A multidisciplinary analysis of the main actor's conflict emotions in Animation film's Turning Point (장편 애니메이션 극적전환점에서 주인공의 갈등 정서에 대한 다학제적 분석)

  • Lee, Tae Rin;Kim, Jong Dae;Liu, Guoxu;Ingabire, Jesse;Kim, Jae Ho
    • Korea Science and Art Forum
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    • v.34
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    • pp.275-290
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    • 2018
  • The study began with the recognition that the animations movie need objective and reasonable methods to classify conflicts in visual to analyze conflicts centering on narratives. Study the emotions of the hero in conflict. The purpose of the study is to analyze conflict intensity and emotion. The results and contents of the study are as follows. First, we found a Turning Point and suggested a conflict classification model (Conflict 6B Model). Second, Based on the conflict classification model, the conflict based shot DB was extracted. Third, I found strength and emotion in inner and super personal conflicts. Fourth, Experiments and tests of strength and emotion were conducted in internal and super personal conflicts. The results of this study are metadata extracted from the emotional research on conflict. It is expected to be applied to video indexing of conflicts.