• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 Proceedings International Workshop on New Video Media Technology
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• pp.134-139
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• 1996

This paper discusses the user interface for content selection with a video-on-demand system. We suggest two modes for the selection process: active and passive. This paper analyses various video intensive user interfaces using logs of user operation to understand how users behave in each mode.

• 한국정보통신학회논문지
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• 제9권8호
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• pp.1847-1854
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• 2005

기존 VoD 시스템의 멀티캐스트 방법은 사용자의 요청수가 증가함에 따라 시스템 부하가 증가하게 되어 시스템의 성능이 떨어지게 된다. 본 논문에서는 사용자들이 빈번하게 요청하는 인기비디오에 대한 정보를 프록시 서버에 저장 관리하여, 사용자들의 비디오 요청 시 발생하는 네트워크의 사용과 서버의 부하를 줄이는 방법에 대해 연구하였다. 본 논문에서는 효율적인 VoD 서비스를 위해 멀터 프록시(Multi-Proxies)들을 관리하는 Interchange Agent(IA)를 구축하였다. 이를 위해, 멀티캐스팅 기법을 이용하여 사용자의 동일 비디오 요청을 하나로 묶어 처리하여 네트워크 및 서버의 부하를 줄고, 자신의 리스트를 이용하여 멀티프록시 캐시의 내용을 중복 없이 관리하여 시스템 효율을 높이며, 스위칭 기능을 통하여 사용자가 요청한 비디오가 연결된 다른 프록시에 존재하면 이를 스위칭 채널을 통해 즉시 전송하여 실시간 서비스의 효율을 높이고, 각 프록시 캐시의 임시저장장소와 카운터를 이용하여 사용자의 인기비디오 순위 변경 시, 캐시의 내용을 변경하여 그 흐름을 반영하도록 하였다.

• 한국컴퓨터산업교육학회:학술대회논문집
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• 한국컴퓨터산업교육학회 2003년도 제4회 종합학술대회 논문집
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• pp.127-133
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• 2003

The data models which express all types of video information physically and logically. and the definition of spatiotemporal relationship of video data objects In This paper, we classifies meta-model for efficient management on spatiotemporal relationship between two objects in video image data, suggests meta-models based on Rambaugh's OMT technique, and expanded user model to apply the adaptive model, established from hyper-media or web agent to VOD. The proposed meta-model uses data's special physical feature: the effects of camera's and editing effects of shot, and 17 spatial relations on Allen's 13 temporal relations, topology and direction to include logical presentation of spatiotemporal relation for possible spatiotemporal reference and having unspecified applied mediocrity.

• 한국멀티미디어학회논문지
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• 제17권9호
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• pp.1084-1091
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• 2014

When demand for transmitting multimedia data increases, network congestion is more likely to occur and users will suffer high loss rate as well as high delay. In order to enhance quality-of-service (QoS) of video multicasting, we need to raise transmission reliability and reduce end-to-end delay. This paper proposes a routing mechanism for a OpenFlow-based small-scale network in order to multicast video reliably with low delay. In our method, multipath routing will be applied to Multiple Description (MD) Coded video to exploit its multi-description property. Through performance evaluation, our method shows improvement on loss rate, delay and video distortion.

• 한국멀티미디어학회논문지
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• 제21권10호
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• pp.1182-1194
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• 2018

The Dynamic Adaptive Streaming over HTTP(DASH) is envisioned to evolve to meet an increasing demand on providing seamless video streaming services in the near future. The DASH performance heavily depends on the client's adaptive quality selection algorithm that is not included in the standard. The existing conventional algorithms are basically based on a procedural algorithm that is not easy to capture and reflect all variations of dynamic network and traffic conditions in a variety of network environments. To solve this problem, this paper proposes a novel quality selection mechanism based on the Deep Q-Network(DQN) model, the DQN-based DASH Adaptive Bitrate(ABR) mechanism. The proposed mechanism adopts a new reward calculation method based on five major performance metrics to reflect the current conditions of networks and devices in real time. In addition, the size of the consecutive video segment to be downloaded is also considered as a major learning metric to reflect a variety of video encodings. Experimental results show that the proposed mechanism quickly selects a suitable video quality even in high error rate environments, significantly reducing frequency of quality changes compared to the existing algorithm and simultaneously improving average video quality during video playback.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.87-96
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• 2021

The demand for e-learning through video lectures is rapidly increasing due to its diverse advantages over the traditional learning methods. This led to massive volumes of web-based lecture videos. Indexing and retrieval of a lecture video or a lecture video topic has thus proved to be an exceptionally challenging problem. Many techniques listed by literature were either visual or audio based, but not both. Since the effects of both the visual and audio components are equally important for the content-based indexing and retrieval, the current work is focused on both these components. A framework for automatic topic-based indexing and search depending on the innate content of the lecture videos is presented. The text from the slides is extracted using the proposed Merged Bounding Box (MBB) text detector. The audio component text extraction is done using Google Speech Recognition (GSR) technology. This hybrid approach generates the indexing keywords from the merged transcripts of both the video and audio component extractors. The search within the indexed documents is optimized based on the Naïve Bayes (NB) Classification and K-Means Clustering models. This optimized search retrieves results by searching only the relevant document cluster in the predefined categories and not the whole lecture video corpus. The work is carried out on the dataset generated by assigning categories to the lecture video transcripts gathered from e-learning portals. The performance of search is assessed based on the accuracy and time taken. Further the improved accuracy of the proposed indexing technique is compared with the accepted chain indexing technique.

• 인터넷정보학회논문지
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• 제17권6호
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• pp.9-15
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• 2016

본 논문에서는 OTT(Over The Top)가 채널상태에 따라 동적으로 최적화함으로서, 최고의 비디오 비트율(bit-rate)로 전송하기 위한 스마트 HLS(HTTP Live Stream) 플랫폼을 제안하였다. HLS 플랫폼은 스마트 OTT가 채널변경 시간을 최적화도록 HLS 서버와 OTT 클라이언트 사이의 대역폭을 모니터링 한다. 이를 위해 다중 비트율과 적정한 대역폭으로 비디오 스트림을 조정하도록 설계되었다. 제안한 스마트 OTT는 최적의 비트율로 버퍼링을 함으로서 라이브와 VOD(Video On Demand)비디오를 재생할 수 있다. 이러한 HLS 플랫폼은 세그먼트 형식의 H.265 MPEG-2 TS(Transport Stream) 비디오와 관련 정보를 담고 있는 m3u8 파일과 스마트 OTT가 연동한다. 이로서 설계한 단일 버퍼링 기반의 스마트 OTT는 동작 중인 채널 대역폭 효율과 복호화된 VOD에 대한 적응적 비트율을 활용함으로서 대역폭이 허용하는 최대의 데이터를 버퍼링으로 최적의 비디오를 전송할 수 있다.

• 산업공학
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• 제11권2호
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• pp.39-48
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• 1998

It is strongly believed that Video on Demand(VOD) will become one of the most promising services for Broadband Integrated Services Digital Network(B-ISDN). VOD service can be classified into two types of services: Near VOD(NVOD) and Interactive VOD(IVOD). Although VOD network requires many kinds of resources, we only consider video servers, programs. and storages. In the network. some video servers should be installed at some nodes(especially, at the root node for NVOD service). so that each node with video server stores video programs and distributes stored programs to customers. We take into account three kinds of costs related with the above resources: a program transmission cost, a program storage cost, and a video server installation cost. There exists a trade-off relationship among those three costs according to the locations of video servers and the kinds of programs stored at each video server. Given a multi-level VOD network and the total number of programs being served in the network. the resource. optimization problem for providing both IVOD and NVOD services is to determine where to install video servers, and which and how many programs should be stored at each video server, in order to minimize the total cost. In this paper we develop an efficient dynamic programming algorithm to solve the problem. We also implement the algorithm based on two different service policies assumed in this paper.

• 한국컴퓨터정보학회논문지
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• 제24권8호
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• pp.19-28
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• 2019

In this paper, an online video summarization algorithm based on multiple object detection is proposed. As crime has been on the rise due to the recent rapid urbanization, the people's appetite for safety has been growing and the installation of surveillance cameras such as a closed-circuit television(CCTV) has been increasing in many cities. However, it takes a lot of time and labor to retrieve and analyze a huge amount of video data from numerous CCTVs. As a result, there is an increasing demand for intelligent video recognition systems that can automatically detect and summarize various events occurring on CCTVs. Video summarization is a method of generating synopsis video of a long time original video so that users can watch it in a short time. The proposed video summarization method can be divided into two stages. The object extraction step detects a specific object in the video and extracts a specific object desired by the user. The video summary step creates a final synopsis video based on the objects extracted in the previous object extraction step. While the existed methods do not consider the interaction between objects from the original video when generating the synopsis video, in the proposed method, new object clustering algorithm can effectively maintain interaction between objects in original video in synopsis video. This paper also proposed an online optimization method that can efficiently summarize the large number of objects appearing in long-time videos. Finally, Experimental results show that the performance of the proposed method is superior to that of the existing video synopsis algorithm.

• 보건교육건강증진학회지
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• 제17권2호
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• pp.75-85
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• 2000

The National Health Promotion Law passed in 1995 was a milestone for initiating a national health promotion program in Korea, and local governments and health related organizations are developing and providing health promotion programs for the public. The purpose of this study was to explore the effectiveness of a smoking prevention video for adolescents. There was no educational video on smoking prevention for school students in Korea. Based on funding from the National Health Promotion Fund, an educational video on smoking prevention has been developed and tested for the effectiveness. The primary subject of the video was middle school students. The result of the study has shown that there was a statistically significant difference between pre-and post test among middle school students and elementary school students. Students' knowledge on the harm of smoking has been increased after the video education. In addition, more than half of the students responded that the educational video was interesting and helpful. To reduce initiation of smoking among adolescents, both policies and school health education programs should be reinforced. Policies on tobacco should focus on demand of smokers and potential smokers. So government officials should keep monitor obedience of the law on prohibition of smoking for those under age 19. School teachers should focus on social influence of smoking for adolescents.