• Korean journal of communication and information
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• v.69
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• pp.111-138
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• 2015

The purpose of this study is to suggest that cultural consumption practices are changing with social and media changes and re-conceptualize 'cultural consumption' beyond attendance or exposure to high culture genres. We look at four types of musical consumption - news reading, posting a review, amateur participation, interaction with others - as expanded musical consumption. We expect expanded musical consumption to be closely associated with cultural capital than with attendances at musical events since high-culture events gets popularized, musical information abundant and cultural interaction easier. We explore the question of the relationship between inherited cultural capital and cultural consumption using recent survey data. More evident are positive relationships between cultural capital and production than attendance.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.4 no.1
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• pp.1-13
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• 2010

The T-DMB which was developed by the convergence of digital broadcasting technology and communication technology provides us with very good quality of music like CD, and provides TV services in a super express train like the KTX whose velocity is over 300 Km per hour. The T-DMB is diffusing toward the world as a technology which is be able to provide the various convergent services of broadcasting and communication through mobile phone, PDA, dedicated terminal, and so on. A business model needed for the diffusion of the T-DMB toward the world was established and utilized to expand the T-DMB into Vietnam in the paper. In addition, this paper describes a case for the establishment of the T-DMB system in order to provide the paid services in Vietnam. It is expected that the expansion of the T-DMB into Vietnam will make a great contribution to the diffusion of the T-DMB toward the world.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.261-266
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• 2020

As pioneers of the early video art, Steina Vasulka(1940-) and Woody Vasulka(1937-2019) had lead not only their own experimental arts, but also entire changes of contemporary avant-garde performance, music, and visual art. Two artists invented and developed electronic machines for video image-processing by collaborating with engineers, and performed creative experiment on transformation of digital image. For them, video art is not just a means of documentation. The Vasulkas' artistic practices were not bounded by conventional canons and rules in art world, and preferably were parts of active aesthetic strategies for coexistence of vision of human and vision of machine. Particularly, their video art recognized the video as the key medium in an era where media technology began to dominate the system of communication, and established artist's authority over manipulation of moving image electronically without depending on video camera. In that regard, we can value on their video art. Therefore, the paper reflects on the Vasulkas' art and life which have not yet been studied, and suggests academic interests in the context of their artistic activities and aesthetic strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.672-677
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• 2016

This study examined the relative industry competence of Kyunggi regional area. The LQ index was applied to estimate the competence of 11 culture contents. In the case of the amount of revenue, cartoon, characters, knowledge information, and publishing showed a relative high competence over LQ 1.0. Regarding the number of companies, cartoon, music, game, character, and knowledge information showed LQ of more than 1.0. The criteria of the number of employees indicated publishing, cartoon, game, character industry to be significant. The common LQ index result of 3 criteria suggested cartoon and character industry to be influential. This indicates that the flow among knowledge, information and person in a regional industry cluster are most important for promoting industry core competence.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.9C
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• pp.1269-1278
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• 2004

While the management of digital contents is getting more and more important, many researchers have studied about scene change detection algorithms to reduce similar scenes in the video contents and to efficiently summarize video data. The algorithms using histogram and pixel information are found out as being sensitive to light changes and motion. Therefore, visual rhythm gets used in recent work to solve this problem, which shows some characteristics of scenes and requires even less computational power. In this paper, a new scene detection algorithm using visual rhythm by direction is proposed. The proposed algorithm needs less computational power and is able to keep good performance even in the scenes with motion. Experimental results show the performance improvement of about 30% comparing with conventional methods with histogram. They also show that the proposed algorithm is able to keep the same performance even to music video contents with lots of motion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.35-41
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• 2015

In order to solve the problems that fingerprinting technologies and image identification technologies for digital music and videos identification scanned have not yet been enough to identify scanned cartoon books, the copyright project granted from the Korea Copyright Commission(Project title: Identification and Copy Protection Technology of Scanned Text/Comic Books) secured basic solutions for scanned cartoon books. The first result of the research project in 2013 was focused on the identification technology applied to abnormally scanned cartoon books. As subsequent research for the project, studies in the year of 2014 has been to provide solutions to identify cartoon books which abnormally scanned and occurred with transformations and distortions and solutions to protect the system from trials to devitalize functions of the identification system through various attacks. This paper is to propose a model for a system for identifying abnormally scanned cartoon books as a way of enhancing the identification rates for identifying abnormal bookscans and transformation attacks.

• Korean journal of communication and information
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• v.59
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• pp.162-179
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• 2012

The purpose of this study is to find a way to revive newspaper industry against digital new media revolution such as the internet, SNS(Social Network Service). To this end, indepth-interviews were conducted with the target incumbent senior reporters. The research areas are consisted of four subjects. For instance Awareness about the newspaper business crisis, the need for profitable business, potential conflicts of journalism and business, and desirable business. As a result of my research, executive reporters said that There is no management strategy Against the rapid expansion of social media and Therefore Business diversification is required. In short, They said that alternative business model should be developed, in which public and business interest are commonly respected, such as Information & Culture (internet, broadcasting, film, game, music), play, exhibition, publishing, and education.

• Journal of the Korea Society of Computer and Information
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• v.12 no.1 s.45
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• pp.51-56
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• 2007

Feature functions were used for the classification of music. The spectral roll-off, variance, average peak level, and class were chosen to make up a feature function vector. Among these, it is the spectral roll-off function that has a low-frequency to high-frequency ratio. To find the optimal roll-off point, the roll-off points from 0.05 to 0.95 were swept. The classification success rate was monitored as the roll-off point was being changed. The data that were used for the experiments were taken from the sounds made by a modern violin and a baroque one. Their shapes and sounds are similar, but they differ slightly in sound texture. As such, the data obtained from the sounds of these two kinds of violin can be useful in finding an adequate roll-off point. The optimal roll-off point, as determined through the experiment, was 0.85. At this point, the classification success rate was 85%, which was the highest.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2586-2594
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• 2009

A digital watermarking technique used as a protection and certifying mechanism of copyrighted creations including music, still images, and videos in terms of finding any loss in data, reproduction and pursuit. This study suggests using a selected geometric invariant point through the whole processing procedure of an image and inserting and extracting based on the invariant point so that it will be robust in a geometric transformation attack. The introduced algorithm here is based on a watershed splitting method in order to make medical images strong against RST(Rotation Scale, Translation) transformation and other processing. It also helps to maintain the watermark in images that are compressed and stored for a period of time. This algorithm also proved that is has robustness against not only JPEG compression attack, but also RST attack and filtering attack.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.576-583
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• 2020

This paper proposes a technique to determine the spam comments on YouTube, which have recently seen tremendous growth. On YouTube, the spammers appeared to promote their channels or videos in popular videos or leave comments unrelated to the video, as it is possible to monetize through advertising. YouTube is running and operating its own spam blocking system, but still has failed to block them properly and efficiently. Therefore, we examined related studies on YouTube spam comment screening and conducted classification experiments with six different machine learning techniques (Decision tree, Logistic regression, Bernoulli Naive Bayes, Random Forest, Support vector machine with linear kernel, Support vector machine with Gaussian kernel) and ensemble model combining these techniques in the comment data from popular music videos - Psy, Katy Perry, LMFAO, Eminem and Shakira.