• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2513-2530
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• 2021

With the fast development of information and communication technologies, video streaming services and applications are increasing rapidly. However, the network condition is volatile. In order to provide users with better quality of service, it is necessary to develop an accurate and low-complexity model for Quality of Experience (QoE) prediction of time-varying video. Memory effects refer to the psychological influence factor of historical experience, which can be taken into account to improve the accuracy of QoE evaluation. In this paper, we design subjective experiments to explore the impact of Short-Term Memory (STM) on QoE. The experimental results show that the user's real-time QoE is influenced by the duration of previous viewing experience and the expectations generated by STM. Furthermore, we propose analytical models to determine the relationship between intrinsic video quality, expectation and real-time QoE. The proposed models have better performance for real-time QoE prediction when the video is transmitted in a fluctuate network. The models are capable of providing more accurate guidance for improving the quality of video streaming services.

• Journal of Chest Surgery
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• v.26 no.3
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• pp.236-240
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• 1993

Video thoracoscopic surgery is a new modality that gains acceptance rapidly from thoracic surgeons. We have experienced two left lower lobectomies, one left upper lobectomy & one right upper lobectomy with using video thoracoscopy for the four patients with lung parenchymal disease from July 1992 to February 1993. The post-operative courses were uneventful. The final pathologic diagnosis were sclerosing hemangioma, adenocarcinoma, bronchiectasis, leiomyoma & the post-operative courses were short. These patients needed less analgesics because postoperative pain was reduced markedly, and hospitalization was shortened due to rapid recovery. We would like to prefer video thoracoscopic lobectomy to the lobectomy through standard thoracotomy in uncomplicated patients with simple pulmonary parenchymal diseases.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.273-277
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• 2021

As society gradually enters a virtual, non-face-to-face society, the use of online content is increasing as well. In particular, as smartphones are thoroughly established in our daily life, the platforms of webtoons, mobile broadcasting, and education are shifting from personal computers to smartphones. Recently, the development of the Over-The-Top media service (OTT service) enabled streaming services of various media contents through the internet and activation of IPTV. Therefore, the rapid increase of popularity of short-form content is a natural phenomenon with smartphone platforms with fast, improvised, and endless communication. Lately, TikTok became the favored platform with prosumers, defined as people who are both producers and consumers. In this study, I studied the experiential response of YouTube and TikTok users as representative examples of a short-form content platform developed after the 2000s, the flourishing years of digital content with a length of 30 seconds.

• The Journal of the Acoustical Society of Korea
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• v.18 no.1
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• pp.72-77
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• 1999

In this paper, we propose a wavelet VQ approach to modeling VBR broadcast video traffic. The proposed method decomposes video traffic into two parts via wavelet transformation, and models each part separately. The first part, which is modeled by an AR(1) process, serves to capture the long-term trend of the traffic; the second part, classified via vector quantization, addresses the short-term behavior of the traffic. Compared with other VBR video models, our model has three advantages. First, it allows the separate modeling of long- and short-term behavior of the video traffic; second, it preserves the periodic coding structure in traffic data; and third, it provides an unified approach for the frameand slice-level traffic modeling. We demonstrate the validity of our model by statistical measurements and network performance simulation.

• Cartoon and Animation Studies
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• s.38
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• pp.29-51
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• 2015

With the progress in high speed internet networks, mobile devices and social networking, the eco-system of the media has shifted from that where the flow of content was one-way from the producer to the consumer. A so-called 'prosumer' culture has taken root where the consumer himself produces media content. Along with these trends, various video-sharing platforms such as youtube has a method of allocating advertisement profit to the content producer, offering a win-win platform for content pro-sumers. This allows the channels to attract several tens of millions of subscribers and raise an annual income of over 10 billion Won, marking a revolutionary change in the content industry. This paper seeks to analyze video distribution channels and short-form media content that are showing continuous growth to identify new markets where animated content can make progress in an era of online video media platforms, as well as provide a future direction for small teams of creators of animated films to survive and thrive in this environment.

• Journal of the International Relations & Interdisciplinary Education
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• v.3 no.1
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• pp.87-103
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• 2023

In the era of self-media, short videos are developing strongly. In addition to its rapid development, it has brought new development opportunities for the dissemination of Chinese traditional culture through innovative cultural expressions. In this environment, the video blogger Li ziqi has rapidly become popular among many other types of self-media, which provides good material for us to analyze the reshaping and dissemination of Chinese traditional culture in the age of self-media. This paper discusses the reshaping and dissemination of Chinese traditional culture in the age of self-media by combining the case of the famous short video blogger "Li ziqi", reveals the problems of the current traditional culture dissemination through the content analysis of the reshaping and dissemination of traditional culture in the age of self-media, and puts forward the optimization strategies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.263-272
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• 2023

In recent times, short videos have become highly popular among college students, serving as a vibrant platform for information sharing and self-expression, while fostering a unique culture. However, their excessive consumption can lead to negative effects like reduced concentration and information overload, necessitating a balanced approach and self-control. Our study examined the impact of different characteristics of short video media on college students' organizational commitment and mental health. The findings highlighted that attributes such as accessibility and immediacy positively influence different levels of engagement, and that organizational commitment significantly affects students' mental well-being. The research underscores the importance of judicious use of short video media to positively affect college students' mental health.

• Informatization Policy
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• v.29 no.3
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• pp.82-104
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• 2022

One of the interesting social phenomena in short-form video platforms is the hashtag challenge wherein ordinary users are encouraged to create by imitating short viral videos on a particular theme. Despite the increasing popularity of hashtag challenges, theoretical discussion on related user behavior is still very insufficient. In this study, we attempted to examine the impact of micro-influencers in order to understand users' willingness to participate in hashtag challenges. For this purpose, the para-social interaction theory and imitation behavior literature were adopted as key theoretical basis. In an empirical investigation using 243 survey data from TikTok users, our study found that a user's illusion of intimacy with a micro-influencer (i.e., para-social interaction) had significant positive impact on the intention to participate in a hashtag challenge. This study also showed that the degree of para-social interaction in a short-form video platform was determined by both media content-related factors and media character-related factors (i.e., content attractiveness, physical attractiveness, and attitude homophily). Our work in this study provided significant theoretical and practical implications on how to leverage micro-influencers for the success of hashtag challenges in a short-form video platform.

• ETRI Journal
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• v.35 no.2
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• pp.281-291
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• 2013

A video signature is a set of feature vectors that compactly represents and uniquely characterizes one video clip from another for fast matching. To find a short duplicated region, the video signature must be robust against common video modifications and have a high discriminability. The matching method must be fast and be successful at finding locations. In this paper, a frame-based video signature that uses the spatial information and a two-stage matching method is presented. The proposed method is pair-wise independent and is robust against common video modifications. The proposed two-stage matching method is fast and works very well in finding locations. In addition, the proposed matching structure and strategy can distinguish a case in which a part of the query video matches a part of the target video. The proposed method is verified using video modified by the VCE7 experimental conditions found in MPEG-7. The proposed video signature method achieves a robustness of 88.7% under an independence condition of 5 parts per million with over 1,000 clips being matched per second.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1527-1530
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• 2002

Video summary is one of the tools which can provide the fast and effective browsing fur a lengthy video. Video summary consists of many key-frames that could be defined differently depending on the video genre it belongs to. Consequently, the video summary constructed by the uniform manner might lead into inadequate result. Therefore, identifying the video genre is the important first step in generating the meaningful video summary. We propose a new method that can classify the genre of the video data in MPEG compressed bit-stream domain. Since the proposed method operates directly on the com- pressed bit-stream without decoding the frame, it has merits such as simple calculation and short processing time. In the proposed method, only the visual information is utilized through the spatial-temporal analysis to classify the video genre. Experiments are done for 6 genres of video: Cartoon, Commercial, Music Video, News, Sports, and Talk Show. Experimental result shows more than 90% of accuracy in genre classification for the well-structured video data such as Talk Show and Sports.