• Title/Summary/Keyword: Videos

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The User Perception in ASMR Marketing Content through Social Media Text-Mining: ASMR Product Review Content vs ASMR How-to Content (텍스트 마이닝을 활용한 ASMR 콘텐츠 분야에 따른 소비자 인식 및 구전효과 차이점 분석: ASMR 제품리뷰 및 ASMR How-to 콘텐츠 중심으로)

  • Tran, Hung Chuong;Choi, Jae Won
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.1-20
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    • 2021
  • Purpose Nowadays, Autonomous Sensory Meridian Response (ASMR) is rapidly growing in popularity and increasingly appearing in marketing. Not even in TV commercial advertisement, ASMR also fast growing in one-person media communication, many brands and social media influencers used ASMR for their marketing contents. The purpose of this study is to measure consumers' perceptions about the products in ASMR marketing content and compare the differences in communication effect of ASMR content creator between product review and how-to in the same Macro tier influencer - the YouTuber that has 10,000-100,000 subscribers. Design/methodology/approach The research methods selected ASMRtist that do product review content and how-to content, Text comments data was collected from 200 videos of tech-device review videos and beauty-fashion videos. A total of 52,833 text comments were analyzed by applying the LDA topic modeling algorithm and social network analysis. Findings Through the result, we can know that ASMR is good at taking attention of viewers with ASMR triggers. In the Tech device reviews field, ASMR viewers also focus on the product like product's performance and purchase. However, there are many topics related to reaction of ASMR sound, trigger, relaxation. In the Beauty-fashion field, viewers' topics mainly focus on the reaction of the ASMR trigger, response to ASMRtist and other topics are talking about makeup - fashion, product, purchase. From LDA result, many ASMR viewers comment that they feel more comfortable when watching the marketing content that uses ASMR. This result has shown that ASMR marketing contents have a good performance in terms of user watching experience, so applying ASMR can take more consumer intention. And the result of social network analysis showed that product review ASMRtist have a higher communication effectiveness than how-to ASMRtist in the same tier. As an influencer marketing strategy, this study provides information to establish an efficient advertising strategy by using influencers that create ASMR content.

The Methodology of the Golf Swing Similarity Measurement Using Deep Learning-Based 2D Pose Estimation

  • Jonghyuk, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.39-47
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    • 2023
  • In this paper, we propose a method to measure the similarity between golf swings in videos. As it is known that deep learning-based artificial intelligence technology is effective in the field of computer vision, attempts to utilize artificial intelligence in video-based sports data analysis are increasing. In this study, the joint coordinates of a person in a golf swing video were obtained using a deep learning-based pose estimation model, and based on this, the similarity of each swing segment was measured. For the evaluation of the proposed method, driver swing videos from the GolfDB dataset were used. As a result of measuring swing similarity by pairing swing videos of a total of 36 players, 26 players evaluated that their other swing sequence was the most similar, and the average ranking of similarity was confirmed to be about 5th. This ensured that the similarity could be measured in detail even when the motion was performed similarly.

Network Analysis of Keywords Related to Korean Nurse: Focusing on YouTube Video Titles (국내 간호사 관련 동영상 키워드의 네트워크 분석: 유튜브 동영상 제목을 중심으로)

  • Lee, Dongkyun;Lee, Youngjin;Lee, Bogyeong;Kim, Sujin;Park, Haejin;Bae, Sun Hyoung
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.29 no.3
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    • pp.278-287
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    • 2022
  • Purpose: To analyze Korean nurse-related channels and video titles on YouTube, the world's largest online video sharing and social media platform, to clarify public opinion and image of nurses. We seek utilization strategies and measures through current status analysis. Methods: Data is collected by crawling video information related to Korean nurses, and correlation is analyzed with frequent word analysis and keyword network analysis. Results: Through the YouTube algorithm, 2,273 videos of 'Nurse' were analyzed in order of recent views, relevance, and rating, and 2,912 videos searched for with the keyword 'Nurse + Hospital, COVID-19, Awareness, University, National Examination' were analyzed. Numerous videos were uploaded, and nursing work that was uploaded in the form of a vlog recorded a high number of views. Conclusion: We could see if the YouTube video shows images of nurses. It has been confirmed that various information is being exchanged rather than information just for promotional purposes.

A Study on the Core Metadata Elements for YouTube Video Archiving in Public Institutions (공공기관 유튜브 동영상 아카이빙을 위한 메타데이터 핵심 요소 연구)

  • Rack Keun, Kim;Jin Ho, Park
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.4
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    • pp.45-65
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    • 2022
  • YouTube videos of public institutions are digital public records that need to be managed and preserved. As such, the video and the metadata describing the video should also be preserved. This study aims to select the key metadata elements necessary for archiving videos published on YouTube by public institutions. To this end, five high-level areas, namely the description, structure, management, preservation, and user participation, and the metadata elements of 10 subareas, were designed by referring to NAK 8, PREMIS, ISAD(G), and YouTube metadata. Afterward, the metadata elements designed by 14 experts were verified. Lastly, the validity and reliability of the evaluation results were verified. Of the 63 elements, 33 satisfied the validity and reliability criteria. Thus, these elements were selected as the core metadata for archiving YouTube videos in public institutions.

Mediating effect of social support on the relationship between viewing sensational videos of idol stars and adolescent sexual openness (아이돌 스타를 촬영한 선정적인 영상물 시청과 청소년 성개방성과의 관계에서 사회적 지지의 매개효과)

  • Kim, Seok Hwan
    • The Journal of Korean Society for School & Community Health Education
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    • v.23 no.4
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    • pp.41-48
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    • 2022
  • Objectives: This study aims to investigate the mediating effect of social support on the relationship between the viewing of sensational videos of idol stars through the mass media and the sexual openness of adolescents. Methods: This study used the 'Study on countermeasures against sexual commodification of adolescents through mass media in the smart era' conducted by the 'Korea Youth Policy Institute' in 2014 for the entire country as the main data. Variables consisted of socio-demographic characteristics of study subjects, video viewing, social support, and sexual openness. For data analysis, SPSS ver 23.0 program was used. Results: As a result of comparing the averages, male students (20.40) had higher sexual openness than female students (18.67), and high school students (20.27) had higher sexual openness than middle school students (18.05) at school level. By grade level, sexual openness increased from the first year of middle school (17.47) to the third year of high school (20.82) (p<0.001). In order to verify the mediating effect of video viewing on the effect of adolescent social support on sexual openness, 3-step mediated regression analysis and Sobel test were conducted. As a result, video viewing had a significant effect on sexual openness through social support (p<0.001). Conclusion: Rather than obscuring the environment of mass media unconditionally, creating an atmosphere according to the tendency of realistic social support and reinforcing emotional education will help prevent the adverse effects of reckless sexualization of adolescents.

Novel Intent based Dimension Reduction and Visual Features Semi-Supervised Learning for Automatic Visual Media Retrieval

  • kunisetti, Subramanyam;Ravichandran, Suban
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.230-240
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    • 2022
  • Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

Multimedia Technologies in Modern Educational Practices: Audiovisual Context

  • Mozhenko, Mykola;Donchyk, Andrii;Yushchenko, Anton;Suchkov, Denys;Yelenskyi, Roman
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.141-146
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    • 2022
  • In modern educational practices, the issue of dependence on the experience of using multimedia by students and the adoption of technologies in education, the perception of their benefits and effectiveness in blended learning is little covered. The purpose of the academic paper lies in assessing the audiovisual context of multimedia technologies, its acceptance by students in practice on the example of using video lectures in blended learning. The methodology is based on an online survey of 120 students of Ukrainian universities who have assessed the experience level in using video lectures, as well as the constructs as follows: Technology Characteristics, Fit, Perceived Usefulness, Perceived Ease of Use, Attitude, Intention to Use, Actual Use. The results show that the majority of students use video lectures to a certain extent in their training (20,8% have used technology to a certain extent, 49,2% have often used technology in training, 20% are regular users of technology). It has been revealed that most students agree with the relevance of video lectures, the accuracy of lectures, the brevity of lectures, the clarity of lectures, as well as the high quality of lecture videos. It has been estimated that 42,5% believe that lecture videos are an effective tool towards supporting students in hybrid learning. 26,7% of students consider video lectures to be appropriate technologies for online / hybrid courses. In general, 37,5% of respondents find video lectures useful; however, 35,0% do not agree with this statement. 83,3% of students have rated the high level of ease of access to video. In total, 95% of students find lecture videos easy to use. In general, positive attitude of students to video lectures has been revealed.

A Research on the Teaser Video Production Method by Keyframe Extraction Based on YCbCr Color Model (YCbCr 컬러모델 기반의 키프레임 추출을 통한 티저 영상 제작 방법에 대한 연구)

  • Lee, Seo-young;Park, Hyo-Gyeong;Young, Sung-Jung;You, Yeon-Hwi;Moon, Il-Young
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.439-445
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    • 2022
  • Due to the development of online media platforms and the COVID-19 incident, the mass production and consumption of digital video content are rapidly increasing. In order to select digital video content, users grasp it in a short time through thumbnails and teaser videos, and select and watch digital video content that suits them. It is very inconvenient to check all digital video contents produced around the world one by one and manually edit teaser videos for users to choose from. In this paper, keyframes are extracted based on YCbCr color models to automatically generate teaser videos, and keyframes extracted through clustering are optimized. Finally, we present a method of producing a teaser video to help users check digital video content by connecting the finally extracted keyframes.

The Effects of Information Types and Players in Everyday Vlogs on Viewers' Empathy, Social Presence and Self-Enhancement (일상 브이로그의 정보 속성과 출연자 유형에 따른 시청 몰입 및 자기향상 태도의 차이)

  • Chen, Nuo;Na, Eunkyung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.277-287
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    • 2022
  • Recent trends in sharing online video contents show that vlogging on everyday life can cause meaningful changes in viewers' perception of mediated characters and their own lifestyles. We explored that flourishing everyday life video contents online are intertwined with viewers' psychological engagement such as empathy and social presence, let alone self-enhancing motivations such as self-reflection and psychological empowerment. Survey analysis results suggest that between contents types of vlog (everyday life vs. in-depth information), watching in-depth information videos significantly affected viewers' psychological engagement and self-enhancing motivations. Compared to celebrity's online videos, daily videos starring laypeople showed significantly positive impacts on viewers' engagement such as empathy, social presence, and self-enhancement such as self-reflection, psychological empowerment.

Towards Group-based Adaptive Streaming for MPEG Immersive Video (MPEG Immersive Video를 위한 그룹 기반 적응적 스트리밍)

  • Jong-Beom Jeong;Soonbin Lee;Jaeyeol Choi;Gwangsoon Lee;Sangwoon Kwak;Won-Sik Cheong;Bongho Lee;Eun-Seok Ryu
    • Journal of Broadcast Engineering
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    • v.28 no.2
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    • pp.194-212
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    • 2023
  • The MPEG immersive video (MIV) coding standard achieved high compression efficiency by removing inter-view redundancy and merging the residuals of immersive video which consists of multiple texture (color) and geometry (depth) pairs. Grouping of views that represent similar spaces enables quality improvement and implementation of selective streaming, but this has not been actively discussed recently. This paper introduces an implementation of group-based encoding into the recent version of MIV reference software, provides experimental results on optimal views and videos per group, and proposes a decision method for optimal number of videos for global immersive video representation by using portion of residual videos.