• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.42-47
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• 2020

YouTube, the online video streaming platform, has become popular and influential around the globe. Due to the development of science and technology, people without expertise in filming can now easily produce their videos with unique content. Many people are more eager to become a popular YouTube creator because they can earn money by placing commercials or Products in Placement (PPL) in their video clips. However, it is yet unknown what genres of YouTube videos are popular. YouTube creators have their channels where they upload videos of a certain type of genre. This study investigates video genres of the top 250 YouTube channels in English-speaking countries (United States, Canada, United Kingdom, and Australia) using Social Blade, which is a research website. The ranking is set based on the number of times people watched a video ("Video Views"). We handsomely analyze popular genres of the channels and also the YouTube ecosystem, and it will be meaningful for today's new media era.

• International Journal of Contents
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• v.10 no.3
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• pp.47-54
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• 2014

Although the Korean Wave originated in China, its presence in this country had been faltering for some time. Recently, however, Korean Wave star centered K-drama via online video websites, Korean Wave TV programs with high ratings, and idol group centered K-pop with glocalization strategies are all popular in China once again. The purpose of this paper is to explore Chinese teens and twenty year olds as the main consumers of Korean popular culture and the how preferred genres, motives, and behaviors of Korean pop culture use and Korean image affect one another. According to the study results, media use via online video service was most common, and among the preferred genres, K-drama has the highest usage rates. In addition, it was discovered that motives and behaviors associated with the use of Korean pop culture had a considerable influence on a positive Korean image.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.385-395
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• 1999

Video-On-demand system provides electronic video rental services from remote video servers on a broadband communication networks. When we assume some situation that serve the same video stream by batching, each time single video stream became available at server-end side, we face the problem that what video stream to be scheduled at what time instant. Hence, in order to manage the resource bandwidth which is different at each stream, the policy of channel allocation became important factor. In this work, we proposed three type of scheduling policies with queueing, as are cumulative Waiting Time(CWT), Mean Waiting Time(MWT) and Predictable Popular Factor(PPF). While CWT policy is good for popular video, MWT policy was good for non-popular video. Also, we know that PPT policy has some fairness for average wait time and reneging rate of user requests.

• Asia pacific journal of information systems
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• v.33 no.2
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2S
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• pp.656-665
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• 2000

A critical issue in the performance of a video-on-demand system is the I/O bandwidth required in order to satisfy client requests. Several approaches: batching, bridging, piggybacking are used ot reduce the I/O demand on the video server through sharing. Piggybacking is the policy for altering display rates of requests in progress fro the same object, for the purpose of merging their corresponding I/O streams into a single stream, which can serve the entire group of merged requests. In this paper, we propose a new policy called an adaptive reservation-based piggybacking that dynamically reserves the I/O stream capacity of video server for popular videos according to video server loads to immediately schedule the requests for popular videos. The performance of the proposed policy is evaluated through simulations, and is compared with that of simple piggybacking. As the result, we know that the adaptive reservation-based piggybacking provides better service probability, average waiting time and percentages saving in frames than simple piggybacking.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.5_6
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• pp.223-231
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• 2003

Video-on-Demand (VOD) service needs high resource consumption because of high bandwidth and long playback duration which are characteristics of multimedia. Various techniques such as Patching and Channel-Reserving Patching have been proposed to reduce the demand on the network-I/O bandwidth. Patching allows new clients to join an existing multicast for realization of true VOD, and Channel-Reserving Patching reserves the part of total channel capacity of video server in order to serve the requests for popular videos on which requests of users concentrate. To improve the performance of Channel-Reserving Patching, we propose the method that determines the reserved channel capacity of video server for the popular videos in this paper. The performance of our method is evaluated in terms of average servile latency, defection ratio and fairness through simulation, and is compared with those of Patching and another Channel-Reserving Patching.

• SUVANNABHUMI
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• v.11 no.2
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• pp.107-124
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• 2019

The purpose of this paper is to shed light on the development timeline of video gaming in Vietnam. This paper would examine how Southeast Asia has become a key component in constructing the facade of the global gaming industry, focusing on Vietnam. As a communist country, Vietnam showed a distinctive pattern of video gaming reception. Video gaming has become a popular amusement among Vietnamese youth and has also helped Vietnam integrate into the modern world after the Vietnam War.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.11-17
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• 2018

This study analyzes the characteristics of popular channels of YouTube created in South Korea. As the science and technology have developed, the ordinary people come to upload their own videos after filming them. Regarding YouTube, the most popular video provide service in the world, this study researches the traits of popular YouTube channels produced in South Korea. Specifically, top 100 channels of 1) Most Subscribed 2) Most Viewed are researched, then it explores further by classifying them as 1) The number of the most subscribed/the most viewed 2) The number of videos 3) The number of viewed/subscribed 4) Genre 5) Type of creator. Thus, it not only reveals the multi-dimensional aspects of popular YouTube channels in South Korea but also prospects the market of Multi-Channel Network(MCN).

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.88-93
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• 2019

This study explores one of charity drive contents on YouTube channel. Due to the advance of science and technology, ordinary people come to make their own video content online, usually via YouTube. YouTube becomes number one online video storage/streaming platform, and many people upload their own video and they get attention and fame. This study analyzes various aspects of Shoot for Love, soccer-based charity drive videos shown on YouTube channel created in South Korea. Unlike popular videos in YouTube, Shoot for Love centers on charity by casting popular soccer players and celebrities. Especially, this study researches 1) Components 2) Traits of Components 3) Contents of Components in Shoot for Love. Throughout this, it not only analyzes unique aspects of Shoot for Love that show how and why YouTube content matters, but also suggest plausible methods to drive charity and institution are suggested that appeal to the public.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1249-1265
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• 2022

Video streaming has become one of the most popular applications for mobile devices. The network bandwidth required for video streaming continues to exponentially increase as video quality increases and the user base grows. Multi-Path TCP (MPTCP), which allows devices to communicate simultaneously through multiple network interfaces, is one of the solutions for providing robust and reliable streaming of such high-definition video. However, mobile video streaming over MPTCP raises new concerns, e.g., power consumption and cellular data usage, since mobile device resources are constrained, and users prefer to minimize such costs. In this work, we propose a mobile video streaming framework over MPTCP (mDASH) to reduce the costs of energy and cellular data usage while preserving feasible streaming quality. Our evaluation results show that by utilizing knowledge about video behavior, mDASH can reduce energy consumption by up to around 20%, and cellular usage by 15% points, with minimal quality degradation.