• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.4
• /
• pp.127-133
• /
• 2009

To ensure access to rapidly growing video collection, video indexing is becoming more and more essential. A database for video should be build for fast searching and extracting the accurate features of video information with more complex characteristics. Moreover, video indexing structure supports efficient retrieval of interesting contents to reflect user preferences. In this paper, we propose semantic video retrieval method based on user preference. Unlikely the previous methods do not consider user preferences. Futhermore, the conventional methods show the result as simple text matching for the user's query that does not supports the semantic search. To overcome these limitations, we develop a method for user preference analysis and present a method of video ontology construction for semantic retrieval. The simulation results show that the proposed algorithm performs better than previous methods in terms of semantic video retrieval based on user preferences.

• ETRI Journal
• /
• v.38 no.1
• /
• pp.174-184
• /
• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

• Journal of Information Management
• /
• v.37 no.4
• /
• pp.93-104
• /
• 2006

With the advancement of internet and video compression technology, there has been an increasing demand for video, and producted a large quantity contents of UCC. Therefore, Semantic-sensitive retrieval and construction for digital video library is more in demand than ever. However, it is extremely difficult to categorize and label scenes in any video automatically for searching wanted scene. This study proposes a method to extract certain scenes and analyze the video content, and shows the experimental results after categorizing 5 sports news(soccer, baseball, golf, basketball, and volleyball).

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.21 no.4
• /
• pp.205-215
• /
• 2010

This study has extracted the basic component of the Library Course Pages through case studies of the Library Course Pages Service, and examined the staus quo of the Open Course Ware(OCW) for the sharing of the course materials. The study has also designed and established a ontology-based retrieval system model that is capable of semantic-based retrieval of the course materials in colleges. A comparison between and analysis of the past keyword search results was conducted to evaluate the model. Through evaluation, the study concluded that the ontology-based system was more effective than the keyword search method in both retrieval result and material sharing between the institutions.

• Journal of Information Processing Systems
• /
• v.2 no.2
• /
• pp.130-134
• /
• 2006

In the distributed replicating server model, the provision of replicated services will improve the performance of the providing service and efficiency for clients. Efficiently composing the server selection algorithm decreases the retrieval time for replicated data. In this paper, we define the system model that selects and connects the replicated server that provides an optimal service using the server-side downstream measurement and propose a server selection algorithm.

• Journal of Internet Computing and Services
• /
• v.3 no.2
• /
• pp.69-77
• /
• 2002

Recently, Digital video is one of the important information media delivered on the Internet and playing an increasingly important role in multimedia. This paper proposes a Video Browsing Service(VBS) that provides both the video content retrieval and the video browsing by the real-time user interface on Web, For the scene segmentation and key frame extraction of video sequence, we proposes an efficient scene change detection method that combines the RGB color histogram with the $x^2$(Chi Square) histogram. Resulting key frames are linked by both physical and logical indexing, This system involves the video editing and retrieval function of a VCR's, Three elements that are the date, the field and the subject are used for video browsing. A Video Browsing Service is implemented with MySQL, PHP and JMF under Apache Web Server.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.12 no.2
• /
• pp.167-172
• /
• 2012

In biology the advent of the high-throughput technology for sequencing, probing, or screening has produced huge volume of data which could not be manually handled. Biologists have resorted to software tools in order to effectively handle them. This paper introduces a bioinformatics tool to help biologists find potentially interesting pathway maps from a transcriptome data set in which the expression levels of genes are described for both case and control samples. The tool accepts a transcriptome data set, and then selects and categorizes some of genes into four classes using a fuzzy filtering technique where classes are defined by membership functions. It collects and edits the pathway maps related to those selected genes without analyst' intervention. It invokes a sequence of web service functions from KEGG, which an online pathway database system, in order to retrieve related information, locate pathway maps, and manipulate them. It maintains all retrieved pathway maps in a local database and presents them to the analysts with graphical user interface. The tool has been successfully used in identifying target genes for further analysis in transcriptome study of human cytomegalovirous. The tool is very helpful in that it can considerably save analysts' time and efforts by collecting and presenting the pathway maps that contain some interesting genes, once a transcriptome data set is just given.

• Journal of Internet Computing and Services
• /
• v.9 no.1
• /
• pp.103-113
• /
• 2008

Vast amount of XML documents raise interests in how they will be used and how far their usage can be expanded, This paper has two central goals: 1) easy and fast retrieval of XML documents or relevant elements; and 2) efficient and stable management of large-size XML documents, The keys to develop such a practical system are how to segment a large XML document to smaller fragments and how to store them. In order to achieve these goals, we designed SCOF(Service-centric Object Fragmentation) model, which is a semi-decomposition method based on conversion rules provided by XML database managers. Keyword-based search using SCOF model then retrieves the specific elements or attributes of XML documents, just as typical XML query language does. Even though this approach needs the wisdom of managers in XML document collection, SCOF model makes it efficient both retrieval and management of massive XML documents.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.1
• /
• pp.361-382
• /
• 2016

NTIS(National Science & Technology Information Service) is the first national R&D information knowledge portal service in the world to provide information of government-funded R&D projects and it has been developed by KISTI. This study investigated several limitations of current NTIS information service, analyzed information needs for end users, and then proposed information recomposition and visualization method to satisfy their information needs. For doing this, we firstly clarified the definition of 'end-users' and classified three different groups of general users. We also discriminated various information needs according to three groups and illustrated some examples of visualization results to meet the requirements - 'retrieval simplification' and 'information visualization'. To consider practicality of our proposed method, we suggested implementation plans to utilize existed NTIS services.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.12 no.1
• /
• pp.43-64
• /
• 2001

The purpose of this study was to measure performance of university libraries, especially investigating the components of service quality and their relationship to the customer satisfaction. The result of the statistical analyses is summarized as follows： The result of 5 point scale study shows the following degree of satisfaction in 55 components： timeliness of circulation, processing of fine. location of library, usefulness of retrieval system, library user education, speed of retrieval. number of terminals, and cleaning. On the other hand, shows the following degree of dissatisfaction in 55 components： speed of civil petitions, hour for program use, result of civil petitions, fixing of library user education, speed of retrieval, method of public relation, waiting time for Internet use, and use of the other library materials. Also. customers’matters of weight and importance was availability. learning facilities, suitable collections, circulation, and system of retrieval.