• Journal of Web Engineering
• /
• v.20 no.8
• /
• pp.2413-2432
• /
• 2021

Recently, the demand for high-quality video content has rapidly been increasing, led by the development of network technology and the growth in video streaming platforms. In particular, displays with a high refresh rate, such as 120 Hz, have become popular. However, the visual quality is only enhanced if the video stream is produced at the same high frame rate. For the high quality, conventional videos with a low frame rate should be converted into a high frame rate in real time. This paper introduces a bidirectional intermediate flow estimation method for real-time video frame interpolation. A bidirectional intermediate optical flow is directly estimated to predict an accurate intermediate frame. For real-time processing, multiple frames are interpolated with a single intermediate optical flow and parts of the network are implemented in 16-bit floating-point precision. Perceptual loss is also applied to improve the cognitive performance of the interpolated frames. The experimental results showed a high prediction accuracy of 35.54 dB on the Vimeo90K triplet benchmark dataset. The interpolation speed of 84 fps was achieved for 480p resolution.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.10B
• /
• pp.919-928
• /
• 2006

A periodic broadcasting is known as an efficient technique for delivering popular videos to reduce bandwidth requirements for transmitting streaming video to viewers in video-on-demand (VoD) services. However, the most periodic VoD schemes approach needs frequency channel hopping, many segments of video managing, and using many channel at the same time. These make it difficult to implement. In this paper, we propose a Staircase Staggered broadcasting scheme which has a simple structure and substantially improved VoD efficiency. The numerical results demonstrate that the viewer's waiting time of the Staircase Staggered broadcasting scheme is close to the staircase broadcasting scheme and the maximum buffer requirements of this can be adapted for demanding rate by adjusting the short front part of a video sizes.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.04a
• /
• pp.199-201
• /
• 2000

본 논문에서는 클러스터에 기반한 주문형 비디오 (VOD: Video On Demand) 시스템에서의 QoS (Quality of Service) 아키텍처를 제안한다. 제안하는 QoS 아키텍처는 IP 네트웍상에서 사용자에게 다양한 서비스 질의 선택과, 선택한 질의 보장을 제공하며, 클러스트 시스템의 자원관리를 통해 서버의 효율을 극대화 시킨다. 클러스터 VOD 시스템의 QoS 아키텍처는 사용자 요구의 협상을 위한 Weighted Price 함수와 요구분배 기법인 Max-min 함수를 이용하여 사용자에게 제공하는 QoS의 수준을 높여주고, 저장 서버들간의 부하균등을 통해 효율성을 높인다. QoS 아키텍처 내의 핵심 모듈인 QoS Mapper와 QoS Manager의 성능을 확인 하는 실험을 통하여 사용자에게 서비스되는 QoS 수준이 증가하였음을 확인할 수가 있었고, 저장서버들간의 부하를 효과적으로 분산시켜 VOD 시스템의 동시 사용자수를 증가 시키고, 안정적인 서비스를 할 수 있음을 확인하였다.

• Journal of the Optical Society of Korea
• /
• v.11 no.3
• /
• pp.101-107
• /
• 2007

In this paper, we have presented the results of Wavelength Division Multiplexing-Passive Optical Network (WDM-PON) based fiber-to-the-home (FTTH) field trial test which was held in the city of Gwangju. We have implemented an injection locked Fabry-Perot Laser Diode (FP-LD) based WDM-PON system and reliably delivered Internet Protocol TV (IP-TV), networked Personal Video Recorder (N-PVR), High-Definition Video on Demand (HD-VoD), Education on Demand (EoD) and Internet service as FTTH service through the system during the field trial test. We have also verified that the WDM-PON system worked well to provide quality of service (QoS) guaranteed 100Mbps bandwidth per subscriber. Furthermore, we have presented network designing issues in Outside Plant (OSP) and Customer Premises Network (CPN) that should be overcome to efficiently deploy FTTH service. Finally, based on the field trial test results, we proposed FTTH service deployment strategies.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04a
• /
• pp.445-447
• /
• 2001

인터넷 이용의 기하급수적인 증가와 정보통신 기술의 비약적인 발전으로 인하여 과거의 정적인 정보의 표현 및 전달에 비해 택스트, 이미지, 오디오 및 비디오가 결합된 멀티미디어 서비스의 요구가 급격히 증가하고 있다. 특히 최근 초고속 통신망의 발달로 인한 인터넷 망 (network)상에서의 방송과 통신이 융합되는 추세 또한 가속화되고 있다. 이에 스트리밍(Streaming) 기술을 기반으로 한 멀티미디어 데이터의 서비스와 데이터 정보의 푸시(push) 기술을 결합하여 인터넷과 고속망상에서의 원활한 실시간 전송 서비스를 위하여 3-tier 방식의 인터넷 방송 서버 시스템을 제시하였다. 본 논문에서는 JMF(Java Media Framework)와 RTP를 이용하여 전체 미디어 서비스를 제공하여, VOD(Video on Demand) 및 실시간 방송 서비스를 제공하는 분산 멀티미디어 스트리밍 전송 시스템을 구현하였다. VOD(Video on Demand) 및 실시간 방송 서비스를 제공하는 분산 멀티미디어 스트리밍 전송 시스템을 구현하였다. VOD 서버, 실시간 방송 서버 및 푸시 서버에서 멀티미디어 컨텐츠를 제공하고, 클라이언트로의 효율적이고 안정적인 서비스를 위하여 미들웨어에서의 부하분배 및 채널 정보의 관리를 가능하게 하였다.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.4
• /
• pp.107-112
• /
• 2019

Failure testing is a test that verifies that the system is operating in accordance with failure response requirements. A typical failure test approaches the operating system by identifying and testing system problems caused by unexpected errors during the operational phase. In this paper, we study how to evaluate these Failure at the software development stage. Evaluate the probability of failure due to code changes through the complexity and duplication of the code, and evaluate the probability of failure due to exceptional situations with bugs and test coverage extracted from static analysis. This paper studies the possibility of failure based on the code quality of software development stage.

• Annual Conference of KIPS
• /
• 2007.11a
• /
• pp.655-658
• /
• 2007

It is difficult to provide a video on demand (VoD) service to a large number of users via the Internet. This is due to the characteristics of VoD, which require a large bandwidth for a long playing time. The Peer-to-Peer (P2P) concept is proposed to increase the scalability of the VoD service. Many studies have been undertaken to solve this problem. But its success is still quite limited technically, these research have been deployed in a rush, mostly based on practicality and instability. A system which uses a distributed VoD streaming scheme over P2P network is proposed to support media streaming.

• Annual Conference of KIPS
• /
• 2007.05a
• /
• pp.765-768
• /
• 2007

P2P Video-on-Demand (VoD) is becoming a popular service in the Internet. The first deployments are already in place, and millions of customers worldwide are already using this new medium. But its success is still quite limited and technically, these researches have been deployed in a rush, mostly based on practicality and instability. This paper studies the advantages and potential problems of VoD in peer-to-peer (P2P) network, we propose a system which uses a distributed VoD streaming scheme over P2P network to support media streaming.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.8
• /
• pp.1257-1264
• /
• 2017

In video content watching service, when a user requests video content, the content server has to transmit the entire video to the client for watching. This transmission delay increases as the size of video content increases. In order to solve the transmission delay problem, a prefetching technique can be used in which a video content to be watched by a user is predicted and transmitted to a client before the user requests it. In this paper, we propose a prefetching system considering multiple indices for video content. In the proposed method, video content to be prefetched is selected by comprehensively analyzing the order relation index indicating the order of viewing the videos of the users, the similarity index between the video contents, and the popularity index reflecting the viewing frequency of the video content. Experimental results show that the maximum accuracy is achieved when prefetching uses only the order relation index for movie contents.

• Journal of Korea Multimedia Society
• /
• v.21 no.2
• /
• pp.188-198
• /
• 2018

With recent development of high-speed wide-area wireless networks and wide spread of highperformance wireless devices, the demand on seamless video streaming services in Long Term Evolution (LTE) network environments is ever increasing. To meet the demand and provide enhanced Quality of Experience (QoE) with mobile users, the Dynamic Adaptive Streaming over HTTP (DASH) has been actively studied to achieve QoE enhanced video streaming service in dynamic network environments. However, the existing DASH algorithm to select the quality of requesting video segments is based on a procedural algorithm so that it reveals a limitation to adapt its performance to dynamic network situations. To overcome this limitation this paper proposes a novel quality selection mechanism based on a Deep Q-Network (DQN) model, the DQN-based DASH ABR($DQN_{ABR}$) mechanism. The $DQN_{ABR}$ mechanism replaces the existing DASH ABR algorithm with an intelligent deep learning model which optimizes service quality to mobile users through reinforcement learning. Compared to the existing approaches, the experimental analysis shows that the proposed solution outperforms in terms of adapting to dynamic wireless network situations and improving QoE experience of end users.