• Smart Media Journal
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• v.5 no.3
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• pp.54-61
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• 2016

According to many smart devices are development, SNS(Social Network Service) users are getting higher that is possible for real-time communicating, information sharing without limitations in distance and space. Nowadays, SNS users that based on communication and relationships, are getting uses SNS for information sharing. In this paper, we used the SNS posts for users to extract the category and information provider, how to following of recommend method. Particularly, this paper focuses on classifying the words in the text of the posts and measures the frequency using Inception-v3 model, which is one of the machine learning technique -CNN(Convolutional Neural Network) we classified image word. By classifying the category of a word in a text and image, that based on DMOZ to build the information provider DB. Comparing user categories classified in categories and posts from information provider DB. If the category is matched by measuring the degree of similarity to the information providers is classified in the category, we suggest that how to recommend method of the most similar information providers account.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.3
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• pp.500-508
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• 2008

For efficient compatible system between medical clinics, the medical information has to be built on a standardized protocol such as a HL7 for text data and a DICOM for image data. But it is difficult to exchange information between medical clinics because the systems and softwares are different and also a structure of data and a type of code. Therefore we analyze a structure of DICOM file and design an integrated database for effective information sharing and exchange. The WISD system suggested in this paper separate the DICOM file transmitted by medical clinics to text data and image data and store it in the integrated DB(database) by standardized protocol respectively. It is very efficient that each medical clinic can search and exchange information by web browser using the suggested system. The WISD system can not only search and control of image data and patient information through integrated database and internet, but share medical information without extra charge like construction of new system.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.2
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• pp.62-70
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• 1999

This paper introduces a possibility of a low-cost, high-resolution fingerprint sensor chip. The test chip is composed of $64{\times}256$ sensing cells(chip size : $2.7mm{\times}10.8mm$). A new detection circuit of charge sharing is proposed, which eliminates the influences of internal parasitic copacitances. This the reduced sensing-capacitor size enables a high resolution of 600dpi, using even conventional 0.6${\mu}m$ CMOS process. The partial fingerprint image captured therefrom are synthesized into a full fingerprint image with a image synthesis algorithm. The problems and possibilities of image synthesis technique are also analyzed and discussed.

• Journal of Multimedia Information System
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• v.1 no.1
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• pp.55-67
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• 2014

Image topic and emotion analysis is an important component of online image retrieval, which nowadays has become very popular in the widely growing social media community. However, due to the gaps between images and texts, there is very limited work in literature to detect one image's Topics and Emotions in a unified framework, although topics and emotions are two levels of semantics that often work together to comprehensively describe one image. In this work, a unified model, Joint Topic/Emotion Multi-Modal Hierarchical Latent Dirichlet Allocation (JTE-MMHLDA) model, which extends previous LDA, mmLDA, and JST model to capture topic and emotion information at the same time from heterogeneous data, is proposed. Specifically, a two level graphical structured model is built to realize sharing topics and emotions among the whole document collection. The experimental results on a Flickr dataset indicate that the proposed model efficiently discovers images' topics and emotions, and significantly outperform the text-only system by 4.4%, vision-only system by 18.1% in topic detection, and outperforms the text-only system by 7.1%, vision-only system by 39.7% in emotion detection.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.779-784
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• 2008

An environment of information sharing is developed as a high-speed growth of internet infrastructure and a fast supply of digital imaging devices. Therefore, developing and supply various digital contents are needed. As occasion demands, the utility of editing tools with a simple image viewer, or programs to need technical education increased. One of subproblems is to take long time for editing images. In this paper, we propose a new method which is a method to edit images in a lump. This method has advantages compared with the previous searching engines in terns of performances and speed. Also, we propose the new approach for developing fusion graphic image contents as binding each advantages of the category. It reduces the production time and costs of contents by the proposed method.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.3
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• pp.257-266
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• 2020

It is very important to share tactical information such as video, images, and text messages among soldiers for situational awareness. Under the wireless environment of the battlefield, the available bandwidth varies dynamically and is insufficient to transmit high quality images, so it is necessary to minimize the distortion of the area of interests such as targets. A natural operating method for soldiers is also required considering the difficulty in handling while moving. In this paper, we propose a natural ROI(region of interest) setting and image compression method for effective image sharing among soldiers. We verify the proposed method through prototype system design and implementation of eye gaze detection and ROI-based image compression.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.127-138
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• 2013

The age of social network has arrived. Social media is the various online media for sharing of opinions and experiences and open for internet users' participation. As the new communication tools, social media has been in the limelight, threatening the traditional media as alternative media. In globalization, country image is seen as the source of competitiveness of a country. The goal of this study is to examine what impact does the utilization of social media has on country image, and we conducted our analysis in two aspects of social media utilization, usage volume and usage diversity. In addition, we examined the impact of factors that form the country image on purchase intention. The analytical results show that media usage volume positively affects country image, people image, political image and media usage diversity has significant effects on economical image, people image and political image.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.328-335
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• 2007

Ontology is represented by the shared concepts and relations among those. Many studies have been actively working on sharing human's knowledge with that of systems by using it. For a typical example, there is the design and implementation of ontology system for image understanding. However conventional studies on ontology-based image understanding have proposed not concrete methods but conceptual idea. In this paper, we propose an ontology-based image understanding system with following four processes: i)knowledge representation of a specific domain by the ontology, ii)feature extraction of objects through image processing and image analysis, iii)image interpretation by object features, and iv)reduction of ambiguity existing in image interpretation by ontology reasoning. We implement an image understanding system based on the proposed processed, and show the effectiveness of the proposed system from experimental results in a specific domain.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.415-421
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• 2016

There has been an enormous increase not only in the international economic exchanges but also in the cultural exchanges. However, studies to settle the cultural differences have been studied a lot with in economic and business partial but research of eliminating cultural differences for travelers has not been studied. Therefore, in this study, we tried to develop the service design to eliminate the cultural differences. To set the spatial range, we choose airport which can be the hub and the door of the travelers at the same time. Moreover, we tried to understand the meaning of communication and sharing to resolve differences in culture through literature studies. Further, we analyzed the airport application and examples of Wi-Fi linked services, so can be applied to the proposal. Travelers share the cultural differences by themselves; through the Wi-Fi service in the airport, and the existing airport application. We expect to be able to resolve the cultural differences between nations and develop not only their prosperity but also the national image by this service.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.443-454
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• 2017

A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.