• 디지털콘텐츠학회 논문지
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• 제11권4호
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• pp.579-588
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• 2010

웹의 일반화, 블로그, 미니홈피와 같은 1인 미디어의 발달, 그리고 동영상 디지털기기의 융합에 의해, 웹을 활용한 멀티미디어 비디오의 서비스가 보편화 되었다. 그러나 기존에 활용되는 비트맵 기반의 멀티미디어 비디오인 플래시 동영상은 물결현상, 지체(lag)현상, 오디오와 비디오의 비동기화 현상 등의 문제점이 존재한다. 본 연구에서는 파일포맷 변환 소프트웨어와 동영상 편집 프로그램을 활용하여 비트맵 기반으로 제작된 플래시 비디오의 문제점을 해결함으로써 웹상에서 효과적인 웹비디오로 서비스하기 위한 변환기법을 제시한다. 또한 13가지 코덱을 대상으로 5가지 영상에 대한 실험을 수행하여 변환결과를 비교 분석한다. 각 영상의 특성을 고려한 가장 적합한 방안은 SWF2Video pro를 활용하여 MainConcept H.264 Video 코덱을 활용함으로써 달성할 수 있었다. 본 연구의 결과를 활용하여 웹상에 효과적인 웹비디오 제작 방안으로 활용할 수 있다.

• 한국문헌정보학회지
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• 제51권1호
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• pp.227-243
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• 2017

This study proposed a structural and semantic framework for the characterization of events and segments in Web videos that permits content-based searches and dynamic video summarization. Although MPEG-7 supports multimedia structural and semantic descriptions, it is not currently suitable for describing multimedia content on the Web. Thus, the proposed metadata framework that was designed considering Web environments provides a thorough yet simple way to describe Web video contents. Precisely, the metadata framework was constructed on the basis of Chatman's narrative theory, three multimedia metadata formats (PBCore, MPEG-7, and TV-Anytime), and social metadata. It consists of event information, eventGroup information, segment information, and video (program) information. This study also discusses how to automatically extract metadata elements including structural and semantic metadata elements from Web videos.

• 한국정보과학회논문지:시스템및이론
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• 제35권3호
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• pp.103-110
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• 2008

본 논문에서는 웹 동영상 페이지의 구조를 바탕으로 하여, 웹 동영상의 관리 및 검색을 위한 주석용 키워드를 자동 추출하는 방법을 제안한다. 제안 방법은 웹 동영상 페이지의 구조를 포함된 동영상의 개수와 주변 텍스트 구성의 복잡도를 기준으로 4가지 타입으로 구분하고, 타입 별로 키워드를 추출하는 방법을 달리한다. 1,087개의 웹 동영상 페이지(2,462개의 동영상)를 바탕으로 실험한 결과에 의하면 본 논문에서 제안하는 방법은 기존 웹 이미지 검색 시스템을 위한 추출 방법보다 재현율 면에서 18%의 성능 향상을 보였다. 따라서 논문에서 제안하는 방법은 일반적인 웹 동영상 검색 시스템을 위한 키워드 추출에 널리 적용 될 수 있다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (C)
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• pp.41-45
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• 2007

The rapid growing of video content production leads to the necessity of developing more complex indexing systems in order to efficiently allow searching, retrieval and presentation of the desired segments of videos. This paper presents a method for indexing soccer video through automatic extraction of information from internet. The proposed paper defines a metadata structure to formally represent the knowledge of soccer matches and provides an automatic method to extract semantic information from web-sites. This approach improves the capability to extract more reliable and richer semantic Information for soccer videos. Experimental results demonstrate that the proposed method provides an efficient performance.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.128-134
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• 2022

Nowadays, people consume a lot of content such as web dramas or K-pop videos through mobile devices such as smartphones, and the market for indirect advertisements through these web dramas or K-pop videos is also increasing every year. In order to lead to the immediate purchase of indirect products in web dramas, a system that allows consumers to purchase immediately at the time the products appear in the drama is needed. In this paper, we propose a system to allow viewers to purchase products worn by celebrities immediately when viewers see and click on them. When a user clicks on a video, it recognizes the product worn by the celebrity, and displays information on the screen on the most similar product corresponding to the recognized product, allowing them to go to the seller's site where they can purchase it. In order for such a system to operate stably, a pose estimation and siamese network-based system is proposed. The proposed system will primarily be released as a streaming service in the form of an app or web page that connects the products in web dramas or other K-pop video contents screened on the mobile with e-commerce. Furthermore, in the future, the technology is expected to be used globally in various industries such as smart mobility and display kiosks.

• 한국콘텐츠학회논문지
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• 제11권6호
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• pp.385-396
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• 2011

인터넷의 웹페이지는 다양한 형태로 존재하지만, 크게 텍스트 중심의 웹페이지, 텍스트와 이미지로 구성된 웹페이지, 그리고 텍스트와 동영상으로 구성된 웹페이지로 구분할 수 있다. 본 연구에서는 콘텐츠 제작방식에 따라서 변하는 소비자들의 지각된 위험 수준과 미디어 풍부성이 미치는 영향을 분석하며, 이들 요인이 고객만족에 미치는 영향을 분석한다. 분석결과, 텍스트 형식의 웹페이지가 텍스트와 이미지 혹은 동영상으로 구성된 웹페이지에 비해서 지각된 위험 중 성능위험, 심리적 위험, 시간 위험 등으로 구성된 개인적 위험을 더 크게 느끼는 것으로 나타났다. 또한, 미디어 풍부성 측면에서는 텍스트와 이미지 혹은 동영상으로 구성된 웹페이지가 텍스트 위주의 웹페이지에 비해서 상징성 및 사회적 실재감이 높은 것으로 조사되었다. 그리고 개인적 위험 및 텍스트 형식의 웹페이지는 고객 만족에 음의 영향을 미치며, 상징성 및 사회적 실재감은 양의 효과를 가진다. 본 연구는 지각된 위험과 미디어 풍부성의 개념을 콘텐츠 제작방식과 연결시킴으로써 기대와는 달리 동영상 콘텐츠가 폭발적으로 성장하지 못한 점에 대해서 규명한데 의의를 둔다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.4300-4314
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• 2019

With the development of video-related applications, media content has increased dramatically through applications. There is a substantial amount of near-duplicate videos (NDVs) among Internet videos, thus NDVR is important for eliminating near-duplicates from web video searches. This paper proposes a novel NDVR system that supports large-scale retrieval and contributes to the efficient and accurate retrieval performance. For this, we extracted keyframes from each video at regular intervals and then extracted both commonly used features (LBP and HSV) and new image features from each keyframe. A recent study introduced a new image feature that can provide more robust information than existing features even if there are geometric changes to and complex editing of images. We convert a vector set that consists of the extracted features to binary code through a set of hash functions so that the similarity comparison can be more efficient as similar videos are more likely to map into the same buckets. Lastly, we calculate similarity to search for NDVs; we examine the effectiveness of the NDVR system and compare this against previous NDVR systems using the public video collections CC_WEB_VIDEO. The proposed NDVR system's performance is very promising compared to previous NDVR systems.

• 인터넷정보학회논문지
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• 제5권1호
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• pp.15-23
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• 2004

본 논문은 멀티미디어 서버의 과도한 부하는 물론 네트워크 자원의 비효율적인 사용과 같은 문제점을 해결하기 위한 단말-네트워크(HNET) 내에 새로운 분산 웹-캐싱 전략에 대한 다루고 있다. 제안된 분산 웹-캐싱은 인근에 위치하는 단말-노드들에 분산 망을 구현하여 특정 단말-노드에 부하가 집중되지 않고, HNET의 분산 단말-노드들에 복사본이 존재하지 않는 장점을 갖고 있다. 제안된 웹-캐싱 기법은 각 단말 노드들이 동일한 비디오 서비스를 요청할 경우 HNET내의 스위칭 에이전트의 제어아래 서버로부터 비디오의 일부 스트림만을 분산 저장하며, 서비스의 제공은 클라이언트들이 분산 단말-노드에 교호적으로 접속하여 서비스 받도록 한다. 새로운 Web-caching 기법에 사용된 제거 알고리듬은 LFU, LRU와 단말간 지연을 줄이기 위해 비디오의 첫 번째 스트림을 마지막으로 제거하는 방식을 조합하여 시뮬레이션을 수행하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.2101-2121
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• 2020

The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.26-36
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• 2021

The Internet was created as a decentralized and autonomous system of interconnected computer networks used for data exchange across mutually trusted participants. The element technologies on the Internet, such as inter-domain and intra-domain routing and DNS, operated in a distributed manner. With the development of the Web, the Web has become indispensable in daily life. The existing web applications allow us to form online communities, generate private information, access big data, shop online, pay bills, post photos or videos, and even order groceries. This is what has led to centralization of the Web. This centralization is now controlled by the giant social media platforms that provide it as a service, but the original Internet was not like this. These giant companies realized that the decentralized network's huge value involves gathering, organizing, and monetizing information through centralized web applications. The centralized Web applications have heralded some major issues, which will likely worsen shortly. This study focuses on these problems and investigates blockchain's potentials for decentralized web architecture capable of improving conventional web services' critical features, including autonomous, robust, and secure decentralized processing and traceable trustworthiness in tamper-proof transactions. Finally, we review the decentralized web architecture that circumvents the main Internet gatekeepers and controls our data back from the giant social media companies.