• Journal of Digital Convergence
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• v.14 no.2
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• pp.1-18
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• 2016

This study analyzed the reports of Korean and Chinese newspapers on the foundation of AIIB from the viewpoint of public diplomacy. The results showed that Chinese newspapers reported the government's statements and opinions and played as a means of conforming to the purposes of public diplomacy. Chinese newspapers employed the media paradigm of Instrumentalism among three paradigms of public diplomacy, which was due to ownership structure of the press. In the case of Korean Newspapers, they adopted paradigms of culturalism and professionalism. However, they verged to culturalism in terms of lack of discourse struggle due to few in-depth reports of the effects of national economy of AIIB.

• Korean journal of communication and information
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• v.57
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• pp.181-201
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• 2012

Classic cultivation theory and research has been noted for its failure to capture subtle variation in effects by genre and to consider tangible and practical dependent variables. Redressing these limitations, this study aimed at extending cultivation theory frame to incorporating fatalistic attitudes and reality television viewing, especially with the mediator of perceived realism. We first replicated the original cultivation effect by showing the significant effect of overall TV viewing. Even controlling for overall TV viewing, reality-based program use showed positive association with fatalistic beliefs; furthermore, the effect remained significant, additionally controlling for news(fact) use and drama(fiction) use. In a nutshell, the cultivation effect of reality-based TV program on fatalistic beliefs turns out quite stable even after controlling other competing genres.

• Journal of KIISE:Information Networking
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• v.37 no.6
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• pp.483-488
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• 2010

Due to the prevalence of various mobile devices and wireless broadband networks, there has been a significant increase in interest and demand for multimedia streaming services. Moreover, the user can service the participatory video broadcasting service in the mobile device and it can be used to deliver the real-time news and more variety information in the user side. Live multimedia service of user participation should consider not only the video quality but also the delay bounds and continuity of video playback for improving the user perceived QoS (Quality of Service) of streaming service. In this paper, we propose an adaptive rate control scheme, called DeBuG (Delay Bounds Guaranteed), to guarantee the delay bounds and continuity of video playback for the real-time streaming in mobile devices. In order to provide those, the proposed scheme has a quality adaptation function based on the transmission buffer status and network status awareness. It also has a selective frame dropper, which is based on the media priority, before the transmission video frames. The simulation results demonstrate the effectiveness of our proposed scheme.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1053-1065
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• 2020

With the recent development of hardware performance and artificial intelligence technology, sophisticated fake videos that are difficult to distinguish with the human's eye are increasing. Face synthesis technology using artificial intelligence is called Deepfake, and anyone with a little programming skill and deep learning knowledge can produce sophisticated fake videos using Deepfake. A number of indiscriminate fake videos has been increased significantly, which may lead to problems such as privacy violations, fake news and fraud. Therefore, it is necessary to detect fake video clips that cannot be discriminated by a human eyes. Thus, in this paper, we propose a deep-fake detection model applied with Bidirectional Convolution LSTM and Attention Module. Unlike LSTM, which considers only the forward sequential procedure, the model proposed in this paper uses the reverse order procedure. The Attention Module is used with a Convolutional neural network model to use the characteristics of each frame for extraction. Experiments have shown that the model proposed has 93.5% accuracy and AUC is up to 50% higher than the results of pre-existing studies.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.479-488
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• 2002

In recent years the amount of digital video used has risen dramatically to keep pace with the increasing use of the Internet and consequently an automated method is needed for indexing digital video databases. Textual information, both superimposed and embedded scene texts, appearing in a digital video can be a crucial clue for helping the video indexing. In this paper, a new method is presented to extract both superimposed and embedded scene texts in a freeze-frame of news video. The algorithm is summarized in the following three steps. For the first step, a color image is converted into a gray-level image and applies contrast stretching to enhance the contrast of the input image. Then, a modified local adaptive thresholding is applied to the contrast-stretched image. The second step is divided into three processes: eliminating text-like components by applying erosion, dilation, and (OpenClose+CloseOpen)/2 morphological operations, maintaining text components using (OpenClose+CloseOpen)/2 operation with a new Geo-correction method, and subtracting two result images for eliminating false-positive components further. In the third filtering step, the characteristics of each component such as the ratio of the number of pixels in each candidate component to the number of its boundary pixels and the ratio of the minor to the major axis of each bounding box are used. Acceptable results have been obtained using the proposed method on 300 news images with a recognition rate of 93.6%. Also, my method indicates a good performance on all the various kinds of images by adjusting the size of the structuring element.

• Cartoon and Animation Studies
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• s.44
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• pp.235-261
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• 2016

Media consumers in the context of the Internet and digital media are using the same content to a variety of platforms. As such, the content of various genres is converted to the form of a new content through the process of fusion, combination, transformation, differentiation, reproduction, etc on the basis of digital media. That is referred to as trans-media. In order to create the successful content in trans-media era, it requires the work of Edi-curation. Edi-curation work is the act of editing and adding meaning to the curation work of curators. In that sense, this paper analyzed the definition and meaning for Edi-curation of publishing and comic(webtoon) content in trans-media era. Edi-curation process induces the changing role of consumers and producers of content in the digital media experience. In process of Edi-curation, consumers(producers) will soon lead to a media producer(consumer), namely proconsumer / produser. Diversification of digital platforms and devices, digital 1 person (or SNS) appeared in the media, etc. are also required to Edi-curation of content and comic(webtoon) published in a variety of ways. Depending on the intention of media producers (or consumers), content through the process of replication, montage, disassembly, dismantling, hypertext, compression, and reconstruction births to new content. The work of Edi-curation has the significance that it affects the way the media producers work in creative process, as well as the reading content of the media consumers. In the publishing content, Edi-curation work is the logicality destruction of a chapter or a paragraph, a sentence of colloquialisms, card news, the deformation of the utilization of video and media content. Meanwhile in the comic(webtoon) content, we mention the destruction of cut(frame), the various modifications of speech bubbles, onomatopoeia, and mimetic word.

• Korean journal of communication and information
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• v.40
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• pp.249-286
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• 2007

This study examines the main characteristics and differences on people's page in selected four national dailies, such as Chosun Ilbo, Joongang Ilbo, Seoul Shinmum and Hankyoreh Shinmun. Both Chosun Ilbo and Joongang Ilbo are categorized as the conservatives; while Seoul Shinmum and Hankyoreh Shinmun as the progressive. This study has been done by applying methods of content analysis to reveal the differences in terms of people's occupations, types of reports, their philosophies, and standards of selecting people by the dailies for the people's pages. The results shows that the conservative newspapers are very similar to the progressive newspapers in terms of occupations and the types of reports, covering the people on people's pages. More specifically, both the conservative dailies and the progressive dailies report the people for whose jobs are related to both social and cultural works. However, the conservative newspapers have much more coverages than the progressive papers in terms of the publicity reporting on the people. The conservatives are also much more reports on the people who are eager to economic success than the progressive dailies; while the progressives papers have much coverages on those who are interesting in helping others than the conservatives papers. Finally, this study reveals that the conservative dailies mainly cover those who are in publicity activities and social elite groups, while the progressive newspapers are the social celebrities and persons of fame in society.

• SUVANNABHUMI
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• v.10 no.2
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• pp.181-213
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• 2018

How to study Southeast Asia (SEA)? The need to explore and identify methodologies for studying SEA are inherent in its multifaceted subject matter. At a minimum, the region's rich cultural diversity inhibits both the articulation of decisive defining characteristics and the training of scholars who can write with confidence beyond their specialisms. Consequently, the challenges of understanding the region remain and a consensus regarding the most effective approaches to studying its history, identity and future seem quite unlikely. Furthermore, "Area Studies" more generally, has proved to be a less attractive frame of reference for burgeoning scholarly trends. This paper will propose a new tool to help address these challenges. Even though the science of artificial intelligence (AI) is in its infancy, it has already yielded new approaches to many commercial, scientific and humanistic questions. At this point, AI has been used to produce news, generate better smart phones, deliver more entertainment choices, analyze earthquakes and write fiction. The time has come to explore the possibility that AI can be put at the service of the study of SEA. The paper intends to lay out what would be required to develop SEABOT. This instrument might exist as a robot on the web which might be called upon to make the study of SEA both broader and more comprehensive. The discussion will explore the financial resources, ownership and timeline needed to make SEABOT go from an idea to a reality. SEABOT would draw upon artificial neural networks (ANNs) to mine the region's "Big Data", while synthesizing the information to form new and useful perspectives on SEA. Overcoming significant language issues, applying multidisciplinary methods and drawing upon new yields of information should produce new questions and ways to conceptualize SEA. SEABOT could lead to findings which might not otherwise be achieved. SEABOT's work might well produce outcomes which could open up solutions to immediate regional problems, provide ASEAN planners with new resources and make it possible to eventually define and capitalize on SEA's "soft power". That is, new findings should provide the basis for ASEAN diplomats and policy-makers to develop new modalities of cultural diplomacy and improved governance. Last, SEABOT might also open up avenues to tell the SEA story in new distinctive ways. SEABOT is seen as a heuristic device to explore the results which this instrument might yield. More important the discussion will also raise the possibility that an AI-driven perspective on SEA may prove to be even more problematic than it is beneficial.