• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.889-891
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• 2005

디지털 기술과 통신 기술의 발전으로 멀티미디어 컨텐츠가 급격히 증가하고 있다. 이러한 멀티미디어 컨텐츠는 다양한 유무선 서비스 환경에서 실시간 서비스가 가능해야 한다. 그러기 위해서는 멀티미디어 컨텐츠 중 가장 큰 비중을 차지하는 영상 및 오디오 컨텐츠에 대한 압축 및 전송 기술이 요구된다. 현재 여러 분야에서 영상 및 오디오에 대한 압축 표준으로는 MPEG 이 자리잡았다. 그리고 MPEG에 대한 많은 개선 노력이 있었으며 특히 테스트 모델인 TM5를 비롯한 많은 연구에서 벡터 추출이나 양자화를 이용한 방법을 중심으로 비트율을 제어하기 위한 부호화기 모델이 제시되었다. 본 논문에서는 기존의 연구 접근 방식과는 다르게 프레임 유형간의 거리를 이용하여 영상의 특성에 따라 보다 적합한 프레임 구조를 찾아 제안하였다. 즉 영상의 복잡도와 변화도에 따라 영상의 종류를 구분하고 각 종류별 영상에 대한 표준 MPEG 인코딩 화질을 기준으로 삼은 후, GOP구조 내에서 프레임 유형간의 거리를 조정하여 화질을 손상하지 않고 가장 적은 비트율을 보상하는 프레임구조를 실험 및 분석을 통해 찾아 제안하였다.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.59 no.4
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• pp.395-400
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• 2010

Digital watermark technologies conceal the information of video contents that presents who is the owner and/or who is the user. In spite of various attempts to insert watermark, trials to mark information of users or buyers into contents have not been successful. It is the reason that the rates of detection is decreased seriously if there are some attacks to the contents such as resizing or bitrate decreasing. In this paper, the algorithm to insert the coded watermarks of users into video contents and to detect them without original contents under attacks will be described.

• Annual Conference of KIPS
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• 2015.10a
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• pp.1545-1548
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• 2015

실시간 스트리밍 서비스에서 다양한 형태의 디바이스에 적합한 동영상을 서비스하기 위한 트랜스코딩 과정은 서버 측에 높은 계산 자원을 요구한다. 하지만 무분별한 트랜스코딩은 연산자원의 과부하, 네트워크 대역폭의 초과 등 중요한 이슈를 발생시킨다. 본 논문에서는 동영상의 움직임에 따른 서비스 이용자의 주관적 퀄리티 차이가 있음을 보이고, 실험결과를 바탕으로 트랜스코딩 과정에서 주관적 퀄리티 평가결과를 추정할 수 있는 영상처리 기법을 제시한다. 이 기법을 활용하여 적절한 비트레이트 변환 모델을 제안하고, 수행시간 측정실험을 통해 실시간 트랜스코딩 과정에서 사용가능함을 보인다.

• Journal of Information Processing Systems
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• v.15 no.3
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• pp.492-499
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• 2019

HEVC is the high efficiency video coding standard, which provides better coding efficiency contrasted with the other video coding standard. But at the same time the computational complexity increases drastically. Thirty-five kinds of intra-prediction modes are defined in HEVC, while 9 kinds of intra prediction modes are defined in H.264/AVC. This paper proposes a fast rough mode decision (RMD) algorithm which adopts the smoothness of the up-reference pixels and the left-reference pixels to decrease the computational complexity. The three step search method is implemented in RMD process. The experimental results compared with HM13.0 indicate that the proposed algorithm can save 39.7% of the encoding time, while Bjontegaard delta bitrate (BDBR) is increased slightly by 1.35% and Bjontegaard delta peak signal-to-noise ratio (BDPSNR) loss is negligible.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2544-2557
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• 2019

Adaptive bitrate streaming is a crucial element in the implementation of high-quality streaming of media content over the Internet. Dynamic adaptive streaming over HTTP (MPEG-DASH) has lately emerged as the de facto solution for over-the-top (OTT) video streaming services. In this paper, we perform macro-level analysis on a real-world MPEG-DASH-based Internet live broadcasting service to gain insight into its behavior throughout the end-to-end service-provision chain, from broadcasters to viewers. Based on this analysis, we propose methods to improve the quality-of-experience (QoE) of MPEG-DASH-based services, particularly with regard to reducing broadcasting delays between recording and viewing of videos, as well as synchronizing client terminals.

• 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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.73-74
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• 2021

This paper presents a scheme to downscale the patches in geometry atlas based upon its contents for MPEG Immersive Video (MIV). In proposed scheme, the geometric contents of a patch is analyzed across the intra period, and a decision is made, whether to downscale a patch or not. The patches containing homogeneous information is downscaled by half, while the patches having salient information about the object such as edges are retained. Experimental results show that the bitrate saving is achieved by incorporating the patch level downscaling.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.51-54
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• 2020

본 논문에서는 360 도 VR 영상을 전송하는 기법의 일종인 타일 기반 전송을 MMT(MPEG Media Transport) 프로토콜 기반으로 구현하기 위하여 영상의 공간 분할 정보를 전달하는 방법을 소개한다. 360 도 VR 영상 전송은 대용량 미디어 전송인 동시에 사용자의 움직임에 따라 신속하게 적응적 영상을 전달해야 한다. 타일 기반 전송은 HEVC(High Efficiency Video Coding)의 MCTS(Motion Constrained Tile Sets) 기법을 이용하여 뷰포트에 해당하는 타일들을 고화질로 전달함으로써 이러한 요구사항을 해결한다. 반면, MMT 프로토콜은 초저지연 고화질 영상 전송에 유리한 기술로써 사용자의 시점 변화에 따라 기민하게 영상의 품질을 변환시킬 수 있다. 따라서 HEVC 의 SEI(Supplemental Enhancement Information) 메시지에 포함되는 타일들의 공간 분할 정보를 MMT 프로토콜에 적용하는 방식에 따라 적응적 타일 기반 전송 기법의 효율을 높일 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.182-183
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• 2022

The large data volume of light field (LF) image has motivated much research on how to compress the data volume more efficiently. One of the approaches is to compress LF images after representing them in the form of pseudo video sequence. In this way, the pseudo temporal redundancy between views can be exploited by motion estimation and compensation. Based on our observation that images obtained by LF cameras have small range of disparity values between adjacent views, we propose to limit the motion search range to reduce the time complexity of motion estimation. Our experimental results show that a smaller motion search range reduces the encoding time while not affecting the bitrate of H.266/VVC much.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.640-655
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• 2014

Many of today's video systems have additional depth camera to provide extra features such as 3D support. Thanks to these changes made in multimedia system, it is now much easier to obtain depth information of the video. Depth information can be used in various areas such as object classification, background area recognition, and so on. With depth information, we can achieve even higher coding efficiency compared to only using conventional method. Thus, in this paper, we propose the 2D video coding algorithm which uses depth information on top of the next generation 2D video codec HEVC. Background area can be recognized with depth information and by performing HEVC with it, coding complexity can be reduced. If current CU is background area, we propose the following three methods, 1) Earlier stop split structure of CU with PU SKIP mode, 2) Limiting split structure of CU with CU information in temporal position, 3) Limiting the range of motion searching. We implement our proposal using HEVC HM 12.0 reference software. With these methods results shows that encoding complexity is reduced more than 40% with only 0.5% BD-Bitrate loss. Especially, in case of video acquired through the Kinect developed by Microsoft Corp., encoding complexity is reduced by max 53% without a loss of quality. So, it is expected that these techniques can apply real-time online communication, mobile or handheld video service and so on.