• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3121-3135
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• 2015

Owing to the increase in consumption of multimedia content and the improvement of device capacity, user demand for high-quality content has increased. However, it is difficult to transport such large amounts of content over the existing broadcasting network with limited bandwidth. To provide high-definition broadcasting, some studies suggest methods of transporting multimedia over heterogeneous networks after encoding content hierarchically. MPEG Media Transport (MMT), standardized by Moving Picture Experts Group (MPEG), is a solution that enables large-volume media transport over heterogeneous networks such as digital broadcasting networks and packet-switched networks. In the case of delivering a scalable encoded video over different networks, synchronization of each stream is an important issue. MMT defines a synchronization scheme, but does not contain sufficient functions to implement it. In this paper, we propose a synchronization scheme for media streams that are encoded hierarchically, divided into layers, and transported over heterogeneous networks. We implement our scheme using MMT and HTTP, and experimented using three encapsulated video streams with different durations. As a result, we show that the proposed scheme can reduce the waiting time to display high-quality video, relative to Dynamic Adaptive Streaming over HTTP-Scalable Video Coding (DASH-SVC) by requesting segments of enhanced layers after calculating the transmission time. Additionally, we find out that the selection of durations have a relation to the characteristics of the video.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.180-183
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• 2011

최근 3D 입체영상에 대한 소비자들의 관심 증대로 가전 업체들은 3D TV, 3D Monitor등의 제품들을 출시하고 있고, 이에 따라 3D 콘텐츠 시장도 급격히 성장할 것으로 예상된다. 또한 네트워크 인프라의 발전으로 IP(Internet Protocol)망을 통한 고화질 동영상의 유통이 가능해졌다. 하지만, QoS(Quality of Service)를 보장하지 않는 IP 기반 전송환경에서의 고화질 미디어 스트리밍 서비스는 콘텐츠를 시청하는 소비자 관점에서 필수적으로 보장되어야 하는 끊김 없는 영상서비스를 제공하는데 제약이 있다. 이러한 문제를 해결하기 위해서, IP 망 네트워크 환경을 고려하여 사용자들이 원하는 콘텐츠를 고품질 혹은 저품질로 제공 할 수 있는 Adaptive 스트리밍 서비스에 관한 기술 개발이 등장하게 되었고, 현재 국제 표준화 기구인 MPEG(Moving Picture experts Group)에서 DASH(Dynamic Adaptive Streaming over HTTP)라는 이름으로 표준화가 진행 중에 있다. 이에 본 논문에서는 DASH를 이용한 효율적 3D Adaptive 스트리밍 서비스 제공 방안을 제안한다. DASH를 이용한 3D 서비스는 사용자들에게 IP 망을 통해 다양한 품질의 3D 콘텐츠를 제공할 수 있으며, 또한 하나의 3D 콘텐츠로 다양한 디바이스에 적용 가능하다는 이점이 있다.

• Journal of Broadcast Engineering
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• v.24 no.2
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• pp.329-340
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• 2019

Recently, broadcasting technologies have evolved as high-quality AV services such as domestic terrestrial UHD(Ultra-High Definition) broadcasting have been increasing, and broadcasting standards have been newly defined. Also, as network technology develops, contents are consumed not only in the country but also the world. Accordingly, content insertion technology, which is a method of providing suitable contents in accordance with the national and local environments, will be needed. This paper proposes a content insertion service system model and synchronization scheme using ATSC(Advanced Television Systems Committee) 3.0 Event Signaling standard under heterogeneous network environment of broadcasting network and internet network based on transmission standard DASH(Dynamic Adaptive Streaming over HTTP)/ROUTE(Real time Object delivery Over Unidirectional Transport) and MMT(MPEG Media Transport) of terrestrial UHD broadcasting. It also verifies that the service operates in an environment that meets the broadcast standard.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.31-40
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• 2024

The proliferation of video streaming services has led to a need for flexible networking protocols. As a result, the Dynamic Adaptive Streaming over HTTP (MPEG-DASH) protocol has emerged as a dominant streaming protocol due to its ability to dynamically adjust playback bitrates according to the end-user's network conditions. In this paper, we propose a novel I/O scheduling scheme tailored for the storage of MPEG-DASH-enabled video servers. Using the renowned rate-reservation (RR) algorithm and bulk-SCAN mechanism, our proposed scheme improves storage bandwidth utilization while ensuring seamless playback of streams with varying bitrates. In addition, we provide a mechanism for reclaiming the idle I/O time typically incurred while retrieving video segments from storage. Consequently, our scheme offers practical solutions for reducing the storage costs of MPEG-DASH video servers. With a simple cost model, we evaluate the performance enhancements achieved by our proposed I/O scheduling scheme.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.11a
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• pp.199-202
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• 2012

인터넷 네트워크의 발달로 3D 콘텐츠와 같은 대용량의 미디어 파일을 인터넷 프로토콜을 이용하여 전송 가능해 졌다. 또한 사용자는 스마트 폰, 스마트 TV, tablet-PC 등과 같은 다양한 디바이스를 통해 인터넷 접근이 가능한 여러 장소에서 원하는 콘텐츠를 전달받아 소비하는 형태가 널리 퍼지고 있다. 이에 따라 안정적인 인터넷 네트워크 환경의 필요성과 IP기반 스트리밍 서비스와 같은 기술의 중요성이 부각되고 있는 실정이다. 하지만 유동적인 인터넷 환경에서는 스트리밍 서비스의 QoS(Quality of Service)를 보장하기 힘들고, 3D 입체영상과 같은 고화질, 고용량의 미디어 파일을 대상으로 할 경우 사용자에게 끊김없는 스트리밍 서비스를 제공하기 어렵다. 이러한 문제를 해결하기 위해서, 인터넷 네트워크 환경을 고려하여 사용자들이 원하는 콘텐츠를 고품질 혹은 저 품질로 제공 할 수 있는 적응적 스트리밍 서비스에 관한 기술 개발이 등장하게 되었고, 현재 국제 표준화 기구인 MPEG(Moving Picture experts Group)에서 DASH(Dynamic Adaptive Streaming over HTTP)라는 이름으로 표준화가 진행 중에 있다. 이에 본 논문에서는 DASH를 이용한 3D 콘텐츠의 적응적 스트리밍 서비스를 위하여 스테레오스코픽 영상의 세그먼트 파일규격 구성방안에 대해서 제안한다. DASH를 이용한 3D 스트리밍 서비스는 사용자들에게 IP 망을 통해 다양한 품질의 3D 콘텐츠를 제공할 수 있으며, 또한 하나의 3D 콘텐츠로 다양한 디바이스에 적용 가능하다는 이점이 있다.

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

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.297-307
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• 2022

The simple procedural segment selection algorithm commonly used in Dynamic Adaptive Streaming over HTTP (DASH) reveals severe weakness to provide high-quality streaming services in the integrated mobile networks of various wired and wireless links. A major issue could be how to properly cope with dynamically changing underlying network conditions. The key to meet it should be to make the segment selection algorithm much more adaptive to fluctuation of network traffics. This paper presents a system architecture that replaces the existing procedural segment selection algorithm with a deep reinforcement learning algorithm based on the Asynchronous Advantage Actor-Critic (A3C). The distributed A3C-based deep learning server is designed and implemented to allow multiple clients in different network conditions to stream videos simultaneously, collect learning data quickly, and learn asynchronously, resulting in greatly improved learning speed as the number of video clients increases. The performance analysis shows that the proposed algorithm outperforms both the conventional DASH algorithm and the Deep Q-Network algorithm in terms of the user's quality of experience and the speed of deep learning.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.33-48
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• 2020

By Digital Transformation, new technologies like ML (Machine Learning), Big Data, Cloud, VR/AR are being used to video streaming technology. We choose ML to provide optimal QoE (Quality of Experience) in various network conditions. In other words, ML helps DASH in providing non-stopping video streaming. In DASH, the source video is segmented into short duration chunks of 2-10 seconds, each of which is encoded at several different bitrate levels and resolutions. We built and compared the performances of five prototypes after applying five different machine learning algorithms to DASH. The prototype consists of a dash.js, a video processing server, web servers, data sets, and five machine learning models.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.709-722
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• 2020

Point Cloud which is a cluster of numerous points can express 3D object beyond the 2D plane. Each point contains 3D coordinate and color data basically, reflectance or etc. additionally. Point Cloud demand research and development much higher effective compression technology. Video-based Point Cloud Compression (V-PCC) technology in development and standardization based on the established video codec. Despite its high effective compression technology, point cloud service will be limited by terminal spec and network conditions. 2D video had the same problems. To remedy this kind of problem, 2D video is using Scalable High efficiency Video Coding (SHVC), Dynamic Adaptive Streaming over HTTP (DASH) or diverse technology. This paper proposed a density scalability method using SHVC codec in V-PCC.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.660-669
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• 2019

Recently, with the development of three-dimensional scanning devices and multi-dimensional array cameras, research is continuously conducted on techniques for handling three-dimensional data in application fields such as AR (Augmented Reality) / VR (Virtual Reality) and autonomous traveling. In particular, in the AR / VR field, content that expresses 3D video as point data has appeared, but this requires a larger amount of data than conventional 2D images. Therefore, in order to serve 3D point cloud content to users, various technological developments such as highly efficient encoding / decoding and storage, transfer, etc. are required. In this paper, V-PCC bit stream created using V-PCC encoder proposed in MPEG-I (MPEG-Immersive) V-PCC (Video based Point Cloud Compression) group, It is defined by the MPEG-DASH (Dynamic Adaptive Streaming over HTTP) standard, and provides to be composed of segments. Also, in order to provide the user with the information of the 3D coordinate system, the depth information parameter of the signaling message is additionally defined. Then, we design a verification platform to verify the technology proposed in this paper, and confirm it in terms of the algorithm of the proposed technology.