• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.138-146
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• 2004

원격탐지된 디지털 영상은 각 밴드별로 다른 특성의 정보를 기록하고 있음으로 밴드별 조합에 의한 칼라영상 생성시 전혀 다른 특성만을 이용하게 되므로 활용목적에 맞게 최적의 영상을 얻기 위한 밴드조합이 매우 중요한 과정이 될 수 있다. 본 연구에서는 약 20년 전에 댐의 건설로 물속으로 사라진 약 60여개의 마을을 원격탐사기법으로 복원하기 위하여 현재 그 지역의 과거 자료를 획득할 수 없으므로, 원격탐지 방법으로 수집 가능한 과거의 자료를 현재의 측지좌표 공간으로 보정처리하고 채널간의 생성되는 영상을 비교함으로서 최적의 솔루션을 찾아내는 실함을 실시하였다. 과거지도와 참조지도와 좌표변환을 통하여 정위치의 중첩오차를 최소화시키고, 영상 복원 시 손실정보를 최소화하기 위한 최적채널결정을 밴드조합 방법으로 하여 그 특징과 결과를 도출하였다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.51-52
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• 2019

문화 기호는 민족 문화를 이해하고 특성을 분석하는 효과적인 방법이다. 중국에서 민족 문화 정체성에 대한 분석은 중화 민족 화합을 위한 중요한 자료로 활용된다. 이에, 본 논문은 <채운남(彩云南), 2009> 애니메이션 속 문화 기호 정체성의 표현에 대한 분석을 통해 민족문화 정체성을 고찰하고자 한다. 이를 통해, 다양한 민족 간 유대감과 소속감을 유도할 수 있는 기초 학술자료가 되리나 기대한다.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.229-234
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• 2021

This study identified the characteristics of video contents related to waste cycle in Korean social media. The contents of broadcasting companies were the most popular among production entities, and mainly current affairs contents and educational contents were popular. Among the solutions to recycle wastes, 'Improvement of systems and policies' was predominantly covered in the video as solutions to the waste circulation problems. 'Broadcasting companies', 'local governments', 'non-profit private organizations' and 'central administrative agencies' actively used the social media to deliver solutions and engage consumers. However, very few contents were produced by companies that are socially responsible for waste. The results of this study show the importance of communication-oriented, public-friendly content development in the process of video production related to waste cycle. These are expected to be useful guidelines for decision-making supporting the development and improvement of related systems and policies.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.4-7
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• 2022

Recently, multi-view depth estimation methods using deep learning network for the 3D scene reconstruction have gained lots of attention. Multi-view video contents have various characteristics according to their camera composition, environment, and setting. It is important to understand these characteristics and apply the proper depth estimation methods for high-quality 3D reconstruction tasks. The camera setting represents the physical distance which is called baseline, between each camera viewpoint. Our proposed methods focus on deciding the appropriate depth estimation methodologies according to the characteristics of multi-view video contents. Some limitations were found from the empirical results when the existing multi-view depth estimation methods were applied to a divergent or large baseline dataset. Therefore, we verified the necessity of obtaining the proper number of source views and the application of the source view selection algorithm suitable for each dataset's capturing environment. In conclusion, when implementing a deep learning-based depth estimation network for 3D scene reconstruction, the results of this study can be used as a guideline for finding adaptive depth estimation methods.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.55-66
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• 2008

A DMB in an ubiquitous age means that every one can share informations anytime anywhere through 'his own TV' or 'TV in his own hands'. A DMB of digital broadcastings makes the most use of informations through ubiquitous. But it has several problems just owing to retransferring existing broadcast programs in contents. So hereafter, DMB broadcasting must be produced with contents suiting its properties. After all, it is important to analyze exactly properties and service fields of medium of DMB to make an establish production direction of its contents. This paper analyzes such properties and presents overall image-contents production direction. This includes appropriate program developments and visual expressions through proper running time, camera angle and walking. The contents harmonized with its properties will give more familiarities to DMB users and it will be a new culture. In the end, it is expected that a share of DMB audience will be more higher.

• Digital Contents
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• no.9 s.160
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• pp.84-86
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• 2006

일반적으로 동영상 UCC(User Created Content)는 사용자에 의해 재생산된 동영상과 사용자가 캠코더나 디지털카메라를 통해 직접 만든 동영상으로 나뉜다. 이러한 특성을 반영하듯 동영상UCC의 대표주자인 판도라TV는 재생산 된 동영상에 주력하고 있고, 후발주자이자 다크호스인엠군의 경우 누리꾼들이 직접찍은 생활과 밀접한 동영상에 주력하고 있다. 인터넷 업계의 관심이 집중되고 있는 동영상UCC의 세계로 빠져보자.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.95-98
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• 2017

기존의 자연영상에 초점이 맞춰져 있던 HEVC 동영상 압축 표준은 스크린 콘텐츠 코딩(SCC)을 제안하여 문자와 그래픽 효과가 많이 포함된 스크린 콘텐츠 영상의 압축 성능을 향상시켰다. SCC의 화면 내 블록 카피 기법은 스크린 콘텐츠 영상의 특성상 한 화면 내 반복되는 무늬들을 찾아 예측에 활용한다. 이에 본 논문은 화면 내 블록 카피 기법에서 사용되는 블록 탐색 방법에 대해 연구하였다. 특히, 전역 탐색에서 사용되는 해시 기반의 탐색기법의 해시 값 구성의 분석을 통해, 해시 구성 요소들의 비중을 감소와 새로운 해시 구성 요소를 활용하여 최대 0.330% 비트레이트율 감소 및 0.328% 비트레이트율 감소 효과를 확인할 수 있었다.

• Korean Association of Arts Management
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• no.57
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• pp.59-84
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• 2021

This study examined the structure of YouTube video network and the factors for the diffusion of Chinese creator's videos through the case of famous Chinese creator Fengtimo. There is few interest to the diffusion of Chinese contents among Korean researchers, while they have been studied the consumption of Hallyu(Korean wave) contents overseas. Using the data that YouTube Data API offers, this study analysed the video network that the comments of which are same users with NodeXL tools and the regression model with JASP tools. The study found that there are three groups of the YouTube channels of that network. They are domestic official accounts of Fengtimo, foreign officail accounts of Fengtimo and individual creators' accounts. The official accounts share the videos of Fengtimo's songs and entertainment contents for the fans, where the individual creators share their own meme videos(UGC). The significant factors for the diffusion in the YouTube video network are comments, likes, out-degree, dislikes, in-degree and betweenness centrality. There are significant difference between official channel and indivisual groups on the views. And degree and betweenness centrality have mediating effect. It is necessary to conduct more research on that subject with many other cases if we want to get to know the generalized explanation.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.291-298
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• 2015

In a fast-paced information technology environment, consumption of video content is changing from one-way television viewing to VOD (Video on Demand) playing anywhere, anytime, on any device. This video-watching trend gives additional importance to videos with fine-speed-control, in addition to the strength of the digital video signal. Currently, many video players provide a fine-speed-control function which can speed up the video to skip a boring part, or slow it down to focus on an exciting scene. The audio information is just as important as the visual information for understanding the content of the speed-controlled video. Thus, a number of algorithms for fine-speed-control video-playing technologies have been proposed to solve the pitch distortion in the audio-processing area. In this study, well-known techniques for prosodic modification of speech signals, WSOLA (Waveform-Similarity-Based Overlap-Add), have been applied to analyze users' needs for fine-speed-control video playing. By surveying the users' preferred speeds on categorized video content and analyzing the results, this paper proposes that various fine-speed adjustments are needed to accommodate users' preferred video consumption.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1716-1722
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• 2021

Recently, the capacity of video content delivery services has been increasing significantly. Therefore, the importance of user recommendation is increasing. In addition, these contents contain a variety of characteristics, making it difficult to express the characteristics of the content properly only with a few keywords(Elements used in the search, such as titles, tags, topics, words, etc.) specified by the user. Consequently, existing recommendation systems that use user-defined keywords have limitations that do not properly reflect the characteristics of objects. In this paper, we compare the efficiency of between a method using voice data-based subtitles and an image comparison method using keyframes of images in recommendation module of educational video service systems. Furthermore, we propose the types and environments of video content in which each analysis technique can be efficiently utilized through experimental results.