• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.479-488
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• 2002

In recent years the amount of digital video used has risen dramatically to keep pace with the increasing use of the Internet and consequently an automated method is needed for indexing digital video databases. Textual information, both superimposed and embedded scene texts, appearing in a digital video can be a crucial clue for helping the video indexing. In this paper, a new method is presented to extract both superimposed and embedded scene texts in a freeze-frame of news video. The algorithm is summarized in the following three steps. For the first step, a color image is converted into a gray-level image and applies contrast stretching to enhance the contrast of the input image. Then, a modified local adaptive thresholding is applied to the contrast-stretched image. The second step is divided into three processes: eliminating text-like components by applying erosion, dilation, and (OpenClose+CloseOpen)/2 morphological operations, maintaining text components using (OpenClose+CloseOpen)/2 operation with a new Geo-correction method, and subtracting two result images for eliminating false-positive components further. In the third filtering step, the characteristics of each component such as the ratio of the number of pixels in each candidate component to the number of its boundary pixels and the ratio of the minor to the major axis of each bounding box are used. Acceptable results have been obtained using the proposed method on 300 news images with a recognition rate of 93.6%. Also, my method indicates a good performance on all the various kinds of images by adjusting the size of the structuring element.

• Journal of agricultural medicine and community health
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• v.27 no.2
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• pp.55-66
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• 2002

This study aims to clarify the socio-economic factors which have an effectiveness on the social support in rural areas and analyze how it relates to the Individual Health promotion behavior. It is advised to improve social support in the community. The target population was all residents with no chronic and no serious disease who live in five villages of Chuncheon in Kangwon province during July of 2002. This study was done by the interview survey using questionnaire which was composed with questions about Medical Outcomes Study-Social Support Survey(MOS-SSS) and the health promotion behavior. MOS-SSS was translated to Korean and modified to be suitable for the study. The functional and social support variables were also added. The health promotion behavior was formed through the questions about whether or not stop smoking, stop drinking, the excise, the health examinations, attending health education, and hormone replacement therapies. The results are as follows; 1) the case of low-educated, divorce or separation to death, or the subject of social assistance, the social support was low. 2) the case of high social class, the social support was high. 3) there were no significant findings in the health status. 4) according to the analysis of correlation of health promotion behavior, the group with the most social support showed a high percentage of getting health examinations, attending health education, Hormone replacement therapies. However, the adjusted rate of smoking and drinking of trying to stop smoking and stop drinking resulted in low figures. The well-structured social support which the community can provide should be firstly given a priority for the group with low-income, low-educated, divorce or separation to death, and social assistance who are provided poor social support. Moreover, the social support service should be actively reflected to the health promotion program in the community.