• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.75-90
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• 2013

Given the context that users are actively using social media with multimedia embedded information, the purpose of this study is to demonstrate how images are used within Twitter messages, especially in influential and favorited messages. In order to achieve the purpose of this study, the top 200 influential and favorited messages with images were selected out of 1,589 tweets related to "Boston bombing" in April 2013. The characteristics of the message, image use, and user are analyzed and compared. Two phases of the analysis were conducted on three data sets containing the top 200 influential messages, top 200 favorited messages, and general messages. In the first phase, coding schemes have been developed for conducting three categorical analyses: (1) categorization of tweets, (2) categorization of image use, and (3) categorization of users. The three data sets were then coded using the coding schemes. In the second phase, comparison analyses were conducted among influential, favorited, and general tweets in terms of tweet type, image use, and user. While messages expressing opinion were found to be most favorited, the messages that shared information were recognized as most influential to users. On the other hand, as only four image uses - information dissemination, illustration, emotive/persuasive, and information processing - were found in this data set, the primary image use is likely to be data-driven rather than object-driven. From the perspective of users, the user types such as government, celebrity, and photo-sharing sites were found to be favorited and influential. An improved understanding of how users' image needs, in the context of social media, contribute to the body of knowledge of image needs. This study will also provide valuable insight into practical designs and implications of image retrieval systems or services.

• Journal of Home Health Care Nursing
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• v.9 no.1
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• pp.14-26
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• 2002

The purpose of the study was to compare both the nursing care satisfaction and the image of nurses as experienced by home health care clients and hospitalized clients. For the descriptive survey study. data were collected from 69 home heath care clients and 342 in-patients in a university hospital. The tools used for the study were modified by Quality Patient Care Scale(Wandelt & Ager. 1974) and Image of Nurses (송인자, 1993). The data were analyzed using Pearson Correlation. Scheffe test. factor analysis. t-test. and ANOVA. The major findings were as follows: Regarding nursing care satisfaction, the mean score of total nursing care satisfaction in home health care clients was 3.28 out of 4.0. Among five domains, the domain with the highest score was the psychosocial domain, followed by the general. the professional. the physical. and the communication domain. The level of nursing care satisfaction was not significantly different according to demographic variables except for age: the age group of 41-60 showed the highest score (p<0.05). The mean score of total nursing care satisfaction in hospitalized clients was 2.95 out of 4.0. Among five domains, the domain with the highest score was the psychosocial domain, followed by the physical and the communication. the professional. and the general domain. The level of nursing care satisfaction was not significantly different according to demographic variables except age: the higher the age the higher the score (p<0.05). The levels of nursing care satisfaction in all five domains were significantly higher in home health care clients than in hospitalized clients(p=0.0005). Regarding image of nurses, the mean score of total image of nurses in home health care clients was 3.32 out of 4.0. Among four domains, the domain with the highest score was the sincerity domain, followed by the kindness. the spirit. and the knowledge and skill domain. The level of image of nurses was not significantly different according to demographic variables. The mean score of total image of nurses in hospitalized clients was 3.05 out of 4.0. Among four domains. the domain with the highest score was the sincerity domain, followed by the kindness, the knowledge and skill, and the spirit domain. The level of image of nurses was not significantly different according to demographic variables. The levels of image of nurses in all four domains were significantly higher in home health care clients than in hospitalized clients (p=0.001). Both the levels of nursing care satisfaction and image of nurses, part of an evaluation for quality of nursing care were significantly higher in home health care clients than in hospitalized clients. In light of the findings, we could consider that home health care nurses provided client-centered comprehensive nursing care. However, nurses need to have methods that more promote the social recognition of the image of nurses and nursing care services as well as professional knowledge and skills.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.87-97
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• 2018

Maximum intensity projection (MIP) is a common visualization technique in medical imaging system. A typical method to improve the performance of MIP is empty space leaping, which skips unnecessary area. This research proposes a new method to improve the existing empty space leaping. In order to skip more regions, we introduce a variety of acceleration strategies that use some tolerance given by the user to take part in image quality loss. Each proposed method shows various image quality and speed, and this study compares them to select the best one. Experimental results show that it is most efficient to add a constant tolerance function when the image quality required by the user is low. Conversely, when the user required image quality is high, a function with a low tolerance of volume center is most effective. Applying the proposed method to general MIP visualization can generate a relatively high quality image in a short time.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.3
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• pp.615-622
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• 2007

In general, Harris detector is commonly used for finding salient points in watermarking systems using feature points. Harris detector is a kind of combined comer and edge detector which is based on neighboring image data distribution, therefore it has some limitation to find accurate salient points after watermark embedding or any kinds of digital attacks. In this paper, we have used cross reference points which use not data distribution but geometrical structure of a normalized image in order to avoid pointing error caused by the distortion of image data. After normalization, we find cross reference points and take inverse normalization of these points. Next, we construct a group of triangles using tessellation with inversely normalized cross reference points. The watermarks are affine transformed and transformed-watermarks are embedded into not normalized image but original one. Only locations of watermarks are determined on the normalized image. Therefore, we can reduce data loss of watermark which is caused by inverse normalization. As a result, we can detect watermarks with high correlation after several digital attacks.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.858-863
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• 2018

In this paper, we propose and implement a multi-level convolutional neural network (CNN) algorithm to identify the sexually explicit and lewdness of various image files, and verify its effectiveness by using unauthorized image files generated in the actual military. The proposed algorithm increases the accuracy by applying the convolutional artificial neural network step by step to minimize classification error between similar categories. Experimental data have categorized 20,005 images in the real field into 6 authorization categories and 11 non-authorization categories. Experimental results show that the overall detection rate is 99.51% for the image files. In particular, the excellence of the proposed algorithm is verified through reducing the identification error rate between similar categories by 64.87% compared with the general CNN algorithm.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.207-220
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• 2012

The goal of the information system in tourism, like that of general information systems, is to create users' information needs so that the users continuously revisit the information system and retrieve the information on a regular basis. However, unlike any other information systems, the primary objective of the tourism information system is to attract tourists to the tourist sites rather than to create the users' needs for their future revisits to the information system. The tourism information system is therefore more closely related to tourists' overall tourism destination image towards the tourism destination. In this respect, the evaluation of the tourism information system should be based on tourists' overall tourism destination image towards the sites. This study examines how tourists' overall tourism destination image towards the sites affect the evaluation of the tourism information system. Specifically, I employ the tourism information system provided by Sokcho and Delone and Mclean(2003)'s the Information System Success Model in order to investigate this research question.

• International Commerce and Information Review
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• v.9 no.2
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• pp.467-480
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• 2007

This research empirically examined changes in the images of Korea over three points in time among Japanese, Chinese, and U.S. visitors to South Korea. Between March 14 and May 31, 2005, about two to three months after the 2005 Seoul International Sports & Leisure Industry Show ended, 153 tourists from America, 129 from China, and 156 from the Japan completed the survey instrument. The results from a General Linear Model (GLM) with repeated measures showed that tourists from all three countries had more positive images after the Seoul International Sports & Leisure Industry Show than before it. It was concluded that the 2005 Seoul International Sports & Leisure Industry Show appeared to have a significant positive effect in enhancing the image of South Korea. The study suggests that an internationally significant trade Show can change the image of a tourism destination in a short time period.

• Journal of Biomedical Engineering Research
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• v.15 no.4
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• pp.475-480
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• 1994

For the effective management of medical images, it becomes popular to use computing machines in medical practice, namely PACS. However, the amount of image data is so large that there is a lack of storage space. We usually use data compression techniques to save storage, but the process speed of machines is not fast enough to meet surgical requirement. So a special hardware system processing medical images faster is more important than ever. To meet the demand for high speed image processing, especially image compression and decompression, we designed and implemented the medical image CODEC (COder/DECoder) based on MISD (Multiple Instruction Single Data stream) architecture to adopt parallelism in it. Considering not being a standard scheme of medical image compression/decompression, the CODEC is designed programable and general. In this paper, we use JPEG (Joint Photographic Experts Group) algorithm to process images and evalutate the CODEC.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.530-532
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• 2007

Multi-Spectral Camera(MSC) is a main payload on the KOMPSAT-2 satellite to perform the earth remote sensing. The MSC instrument has one(1) channel for panchromatic imaging and four(4) channel for multi-spectral imaging covering the spectral range from 450nm to 900nm using TDI CCD Focal Plane Array (FPA). The compression method on KOMPSAT-2 MSC was selected and used to match EOS input rate and PDTS output data rate on MSC image data chain. At once the MSC performance was carefully handled to minimize any degradation so that it was analyzed and restored in KGS(KOMPSAT Ground Station) during LEOP and Cal./Val.(Calibration and Validation) phase. In this paper, on-orbit image data chain in MSC and image data processing on KGS including general MSC description is briefly described. The influences on image performance between on-board compression algorithms and between performance restoration methods in ground station are analyzed and discussed.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.211-214
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• 2007

With the recent development of spatial information technology, the relative importance of satellite image contents has increased to about 62%, the techniques related to satellite images have improved, and their demand is gradually increasing. Accordingly, a standard processing method for the whole process of collection from satellites to distribution of satellite images is required in many countries for efficient distribution of images and improvement of their utilization. This study presents the processor standardization technique for the preprocessing of satellite images including geometric correction, orthorectification, color adjustment, interpolation for DEM (Digital Elevation Model) production, rearrangement, and image data management, which will standardize the subjective, complex process and improve their utilization by making it easy for general users to use them