• Title/Summary/Keyword: Comparison Research

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Effect of Upward Social Comparison in SNS on Depression among Middle School Students: The Mediating Effect of Self-Deprecation and the Moderated Mediating Effect of Cognitive Flexibility (중학생의 SNS 상향비교가 우울에 미치는 영향: 자기비하의 매개 효과와 인지적 유연성의 조절된 매개효과)

  • Lee, Se Young;Park, Ju Hee
    • Human Ecology Research
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    • v.59 no.3
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    • pp.353-367
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    • 2021

  • The purpose of this study was to examine the mediating effect of middle school students'self-deprecation in the relationship between upward social comparison in social network service (SNS) and depression and the moderated mediating effect of cognitive flexibility. The participants were 288 middle school students, in the first to third grades from four middle schools located in Seoul, Gyeong-gi, and Jeonnam. The date were analyzed with descriptive statistics, Pearson's correlation coefficients and the Process Macro Model 4, 1, and 14. The results of this study are as follows. First, an upward comparison in SNS has a significant positive influence on students'depression, and students' self-deprecation of students mediated the relation between two. Second, the level of control, which is a sub-factor of cognitive flexibility, moderated the mediating effect of self-deprecation. That is, if students are more likely to perceive difficult situations as controllable, upward social comparison in SNS mediated by self-deprecation has smaller effect on depression. Based on these results, we suggest practical interventions to reduce depression among middle school students by decreasing upward social comparison in SNS and self-deprecation. In addition, helping students perceive difficult situations as controllable could be another effective way of reducing depression among those students who have a high level of self-deprecation in upward social comparison in SNS.

  • https://doi.org/10.6115/fer.2021.026 인용 PDF KSCI

MPEG Video Segmentation Using Frame Feature Comparison (프레임 특징 비교를 이용한 압축비디오 분할)

  • 김영호;강대성
    • Journal of the Institute of Convergence Signal Processing
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    • v.4 no.2
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    • pp.25-30
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    • 2003

  • Recently, development of digital technology is occupying a large part of multimedia information like character, voice, image, video, etc. Research about video indexing and retrieval progresses especially in research relative to video. In this paper, we propose new algorithm(Frame Feature Comparison) for MPEG video segmentation. Shot, Scene Change detection is basic and important works that segment it in MPEG video sequence. Generally, the segmentation algorithm that uses much has defect that occurs an error detection according to a flash of camera, movement of camera and fast movement of an object, because of comparing former frames with present frames. Therefore, we distinguish a scene change one more time using a scene change point detected in the conventional algorithm through comparing its mean value with abutted frames. In the result, we could detect more corrective scene change than the conventional algorithm.

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