• Journal of Korea Multimedia Society
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• v.10 no.5
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• pp.559-568
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• 2007

Anchor-person scene detection is of significance for video shot semantic parsing and indexing clues extraction in content-based news video indexing and retrieval system. This paper proposes an efficient algorithm extracting anchor ranges that exist in sports news video for unit structuring of sports news. To detect anchor person scenes, first, anchor person candidate scene is decided by DCT coefficients and motion vector information in the MPEG4 compressed video. Then, from the candidate anchor scenes, image processing method is utilized to classify the news video into anchor-person scenes and non-anchor(sports) scenes. The proposed scheme achieves a mean precision and recall of 98% in the anchor-person scenes detection experiment.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.65-74
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• 2021

Digital image processing and retrieving have increasingly become very popular on the Internet and getting more attention from various multimedia fields. That results in additional privacy requirements placed on efficient image matching techniques in various applications. Hence, several searching methods have been developed when confidential images are used in image matching between pairs of security agencies, most of these search methods either limited by its cost or precision. This study proposes a secure and efficient method that preserves image privacy and confidentially between two communicating parties. To retrieve an image, feature vector is extracted from the given query image, and then the similarities with the stored database images features vector are calculated to retrieve the matched images based on an indexing scheme and matching strategy. We used a secure content-based image retrieval features detector algorithm called Speeded-Up Robust Features (SURF) algorithm over public cloud to extract the features and the Honey Encryption algorithm. The purpose of using the encrypted images database is to provide an accurate searching through encrypted documents without needing decryption. Progress in this area helps protect the privacy of sensitive data stored on the cloud. The experimental results (conducted on a well-known image-set) show that the performance of the proposed methodology achieved a noticeable enhancement level in terms of precision, recall, F-Measure, and execution time.

• Child Health Nursing Research
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• v.28 no.2
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• pp.91-102
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• 2022

Purpose: This study systematically analyzed cases in South Korea wherein nurses were prosecuted for involuntary manslaughter or injury due to professional negligence in pediatric care. Methods: We analyzed the precedents using the methodology of Hall and Wright (2008) and Austin (2010). Of the 618 cases retrieved from the Supreme Court Decisions Retrieval System in South Korea, we selected the 12 cases in which children were the victims and nurses were the defendants, using a case screening methodology. Results: The most frequent penalty was a fine, and newborns were the most frequent victims. The distribution of cases according to Austin's violation categories was: improper administration of medications (n=5), failure to monitor for and report deterioration (n=4), ineffective communication (n=4), failure to delegate responsibly (n=4), failure to know and follow facility policies and procedures (n=1), and improper use of equipment (n=1). Conclusion: To ensure the safety of children, nurses are required to teach and practice a high standard of care. Nursing education programs must improve nurses' awareness of their legal obligations. Nursing organizations and leaders should also work towards enacting effective nursing laws and ensuring that nurses are aware of their legal rights and responsibilities.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.475-478
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• 2011

지금까지 음악 정보 검색을 위한 다양한 내용 기반 음악 검색 및 비교 방법이 제안되었다. 그런데, 기존 연구들은 질의 방식 및 검색 카테고리가 변화함에 따라 상이한 방법을 제시하고 있어 음악 검색 방법을 통합하는 데에 한계가 있다. 이러한 문제를 해결하기 위해, 본고에서는 내용 기반 음악 검색의 일반화를 위한 내용 기반 음악 요소 검색(CBMER) 방법을 제안하였다. 제안 방법에서는 확률적 은닉 성분 분석(PLCA)을 사용하여 음원을 분해하고, 각 분해 요소로부터 오디오 특성을 추출하였다. 제안 방법을 사용하여 다양한 질의 방식 및 검색 카테고리로 내용 기반 음악 요소 검색이 가능함을 보이기 위해, 남성/여성의 목소리로부터 질의를 생성하여 목소리 성별에 따른 음악을 검색하는 실험을 수행하고 그 결과를 분석하였다.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.39-50
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• 2015

In information retrieval process through search engine, some users want to retrieve several documents that are corresponding with specific time period situation. For example, if user wants to search a document that contains the situation before 'Japanese invasions of Korea era', he may use the keyword 'Japanese invasions of Korea' by using searching query. Then, search engine gives all of documents about 'Japanese invasions of Korea' disregarding time period in order. It makes user to do an additional work. In addition, a large percentage of cases which is related to historical documents have different time period between generation date of a document and record time of contents. If time period in document contents can be extracted, it may facilitate effective information for retrieval and various applications. Consequently, we pursue a research extracting time period of Joseon era's historical documents by using historic literature for Joseon era in order to deduct the time period corresponding with document content in this paper. We define historical objects based on historic literature that was collected from web and confirm a possibility of extracting time period of web document by machine learning techniques. In addition to the machine learning techniques, we propose and apply the similarity filtering based on the comparison between the historical objects. Finally, we'll evaluate the result of temporal indexing accuracy and improvement.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.27-35
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• 2005

Recently, despite of the rapid progress of information technology in the medical and health fields, the development and management of problem sets about medical and education contents related with radiological technologist has been still achieved by manual and offline method using document editor. In this study, the unique web-based problem management system is designed and implemented. That system can efficiently manage and present various kind of problem set about integrated education and personal license without time and space limitations in order to improve the efficiency of supplementary training and to obtain the professional license for CT radiological technologist. The proposed system is composed of administration module and user module. The former supports several functions such as problem creation, problem categorization, user management, and adjustment of leveled assessment. On the other hand, the latter functions examination applying , problem retrieval, personal score retrieval, and interpretation viewing, and so on. In addition, our system is expected as a useful and practical system which provides problem interpretation and analysis of score results after applying for the examination. It can elevate ability of learning and information interchange among them preparing for CT professional radiological technologist licensing examination

• Journal of Broadcast Engineering
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• v.13 no.4
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• pp.544-553
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• 2008

With the development of video editing technology, there are growing uses of overlay text inserted into video contents to provide viewers with better visual understanding. Since the content of the scene or the editor's intention can be well represented by using inserted text, it is useful for video information retrieval and indexing. Most of the previous approaches are based on low-level features, such as edge, color, and texture information. However, existing methods experience difficulties in handling texts with various contrasts or inserted in a complex background. In this paper, we propose a novel framework to localize the overlay text in a video scene. Based on our observation that there exist transient colors between inserted text and its adjacent background a transition map is generated. Then candidate regions are extracted by using the transition map and overlay text is finally determined based on the density of state in each candidate. The proposed method is robust to color, size, position, style, and contrast of overlay text. It is also language free. Text region update between frames is also exploited to reduce the processing time. Experiments are performed on diverse videos to confirm the efficiency of the proposed method.

• Cartoon and Animation Studies
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• s.49
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• pp.1-23
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• 2017

3D animation production has had a pivotal position in current animation industry and the necessity of professional management tool for 3D animation production has claimed due to its sophisticated pipeline from advance of technology and global production partnership trend. Shotgun and Ftrack are providing the most appropriate management toolset for 3D animation management among the extant management tools and the efficiency of Shotgun & Ftrack is identified compared with the traditional document oriented management style. The biggest strength of production management using Shotgun is that all of the production staff can directly participate in the communication on the tools therefore they can share the information on Shotgun & Ftrack in real time without constraint of time and location. Moreover, all the process of the production and the history of the discussion on certain production issues are systematically accrue on the tool so that the production history can be easily tracked. Finally, the production management using tools contributes collecting and analysing the production information for the production management team in studios. However, Shotgun & Ftrack has metadata based retrieval method which cost huge amount of effort by human's manual annotation and it also has the limitation of accuracy. In addition, the fact that studios has to have technical professionals first in order to institute the tools into their studios is the actual difficulty of Korean studios when they want to use management tools for their project. Thus, this paper suggests adopting the content-based retrieval system on the tools and tools' expanded technical service for the studios as the solution of the identified issues.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.137-168
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• 2022

The purpose of this study is to suggest a plan for establishing SR (systematic review, hereinafter called SR) support services in domestic university libraries through a case study of SR support services in overseas university libraries. For this purpose, a total of 119 overseas university libraries were divided into all fields (subjects and disciplines) and the medical field. And A total of 10 areas such as service fields, service subjects, public relations, librarian roles (counselors, collaborators), education, librarian introduction, team member, application form, SR theoretical content, and others were divided and investigated. As a result, the SR support service of the university libraries being investigated is expanding from the medical field to academic fields such as natural science, engineering, and social science. It was confirmed that there were differences in service support hours, services, and whether co-authors were recognized according to the role of the librarian. Educational services are provided to users for the SR support service with a focus on retrieval strategy and skills. In the promotion of the SR support service, the librarian must suggest that it should be included. The importance of SR support services for Korean university libraries should be emphasized through the analysis of SR support services for overseas university libraries, professional search education should be strengthened in the curriculum. Also Organizations related to university libraries such as KERIS have suggested that systematic SR education support is needed for librarians.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.57-72
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• 2008

Serve and do so that graft together specialists' view application field of computer and developmental disability diagnosis estimation data to construct developmental disability diagnosis estimation system in this Paper and constructed developmental disability diagnosis estimation system. Developmental disability diagnosis estimation must supply information of specification area that specialists are having continuously. Developmental disability diagnosis estimation specialist system need multimedia data processing that is specialized little more for developmental disability classification diagnosis and decision-making and is atomized for this. Characteristic of developmental disability diagnosis estimation system that study in this paper can supply quick feedback about result, and can reduce mistake on recording and calculation as well as can shorten examination's enforcement time, and background of training is efficient system fairly in terms of nonprofessional who is not many can use easily. But, as well as when multimedia information that is essential data of system construction for developmental disability diagnosis estimation is having various kinds attribute and a person must achieve description about all developmental disability diagnosis estimation informations, great amount of work done is accompanied, technology about equal data can become different according to management. Because of these problems, applied search technology of contents base (Content-based) that search connection information by contents of edit target data for developmental disability diagnosis estimation data processing multimedia data processing technical development. In the meantime, typical access way for conversation style data processing to support fast image search, after draw special quality of data by N-dimension vector, store to database regarding this as value of N dimension and used data structure of Tree techniques to use index structure that search relevant data based on this costs. But, these are not coincided correctly in purpose of developmental disability diagnosis estimation because is developed focusing in application field that use data of low dimension such as original space DataBase or geography information system. Therefore, studied save structure and index mechanism of new way that support fast search to search bulky good physician data.