• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.598-601
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• 2011

스케일러블 비디오 코딩은 레이어간 예측 기능을 이용하여 시뮬케스트 코딩에 비해 코딩 효율을 높인다. 하지만 스케일러블 비디오 코딩의 레이어간 예측으로는, 인트라 픽셀(inta pixel). 모션 정보(motion vector information), 레지듀얼(residual)등의 예측이 수행되는데, 이는 많은 계산 시간을 소요하게 되며, 시뮬케스트에 비해 코딩 시간이 증가하게 된다. 특히 인코더의 경우, 가장 최적의 모드를 선택하기 위하여, 기존 H.264 AVC에서 사용하는 예측을 수행한 뒤, 부가적으로 스케일러블 비디오 코딩의 레이어간 예측을 수행하기 때문에, 하나의 영상이 많은 레이어를 포함할수록 인코딩에 의한 계산부하가 매우 증가하게 된다. 본 논문에서는 이를 해결하기 위해, 멀티 코어 이용하여 레이어별로 병렬처리가 가능하도록 하는 스케일러블 비디오 인코더의 구조를 제안한다. 이로써 하나의 영상이 포함하는 레이어의 수가 증가함에 따라 발생하는 인코딩 계산 부하를 줄이도록 하였다. 그리하여 본 논문에서 제안하는 구조를 적용하였을 때, 2개의 공간영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 24.8%의 속도가 향상되었고, 1개의 공간영역과 1개의 화질 영역으로의 스케일러빌리티를 가지는 영상들에 대해서는 평균 82%의 속도 향상을 보였다.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.309-318
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• 2004

This paper proposes the H.264-based selective fine granular scalable (FGS) coding scheme that selectively uses the temporal prediction data in the enhancement layer. The base layer of the proposed scheme is basically coded by the H.264 (MPEG-4 Part 10 AVC) visual coding scheme that is the state-of-art in codig efficiency. The enhancement layer is basically coded by the same bitplane-based algorithm of the MPEG-4 (Part 2) fine granular scalable coding scheme. In this paper, we introduce a new algorithm that uses the temproal prediction mechanism inside the enhancement layer and the effective selection mechanism to decide whether the temporally-predicted data would be sent to the decoder or not. Whenever applying the temporal prediction inside the enhancement layer, the temporal redundancies may be effectively reduced, however the drift problem would be severly occurred especially at the low bitrate transmission, due to the mismatch bewteen the encoder's and decoder's reference frame images. Proposed algorithm selectively uses the temporal-prediction data inside the enhancement layer only in case those data could siginificantly reduce the temporal redundancies, to minimize the drift error and thus to improve the overall coding efficiency. Simulation results, based on several test image sequences, show that the proposed scheme has 1∼3 dB higher coding efficiency than the H.264-based FGS coding scheme, even 3∼5 dB higher coding efficiency than the MPEG-4 FGS international standard.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.111-115
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• 2006

스케일러블 비디오 코딩(SVC, Scalable Video Coding)은 MPEG(Moving Picture Expert Group)과 VCEG (Video Coding Expert Group)의 JVT(Joint VIdeo Team)에 의해 현재 표준화 되고 있는 새로운 압축 표준 기술이며 시간, 공간 및 화질의 스케일러빌리티를 지원하기 위해 계층 구조를 가지고 있다. 특히 시간적 스케일러빌리티를 위해 계층적 B-픽처 구조를 채택하고 있다. 스케일러블 비디오 코딩의 기본 계층은 H.264|AVC와 호환적이므로, 모션 예측과 모드 결정과정에서 $16{\times}16,\;16{\times}8,\;8{\times}16,\;8{\times}8,\;8{\times}4,\;4{\times}8$ 그리고 $4{\times}4$와 같은 7개의 서로 다른 크기를 갖는 블록을 사용한다. 스케일러블 비디오 코딩에서 사용되고있는 계층적 B-픽처 구조는 키 픽처인 I와 P 픽처를 제외하고는 한 GOP (Group of Picture)내에서 모두 B-픽처를 사용하므로 H.264|AVC와 비교했을 때 연산량 증가와 함께 부호화 지연도 급격히 증가한다. B-픽처는 양방향 모션 벡터인 LIST0와 LIST1을 사용하고 양방향 모두에서 다중 참조 픽처를 사용하기 때문이다. 본 논문에서는 통계적 가선 검증을 이용하여 스케일러블 비디오 부호화에 적용 가능한 고속 프레임간 모드 결정 알고리듬 대해 소개한다. 제안된 방법은 $16{\times}16$ 매크로 블록과 $8{\times}8$ 서브 매크로 블록에 통계적 가설 감증 기법을 적용하여 실행되며, 현재 블록과 복원된 참조 블록간의 픽셀 값을 비교하여 RD(Rate Distortion) 최적화 기반 모드 결정을 빨리 완료함으로써 고속 프레임간 모드 결정을 가능하게 한다. 제안된 방법은 프레임 간 모드 결정을 고속화함으로써 스케일러블 비디오 부호화기의 연산량과 복잡도를 최대 57%감소시킨다. 그러나 연산량 감소에 따른 비트율의 증가나 화질의 열화는 최대 1.74% 비트율 증가 및 0.08dB PSNR 감소로 무시할 정도로 작다.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.650-657
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• 2011

This paper proposes a novel bit allocation algorithm for H.264 scalable extension(SE) based on a human visual system (HVS) to improve the coding efficiency. The proposed algorithm is consist of two stages: visual weighting model and visual weighting-based bit allocation algorithm. In the first stage, the visual weighting for each macroblock (MB) is analyzed according to the region of interests. Then the adaptation of the visual weighting into the bit allocation routine for each quality layer is performed for improving the visual quality. In the simulation results, it is observed that the proposed scheme can improve the subjective and objective video quality in the same bit rate, compared to the previous scalable video coding in H.264.

• Journal of Broadcast Engineering
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• v.10 no.4 s.29
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• pp.515-527
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• 2005

A next-generation codec should be developed to be a scalable video codec(SVC) that not only maximizes the coding efficiency but also adaptively copes with the various communication devices and the variation of network environments. To meet these requirements, Joint Video Team (JVT) of ISO/IEC and ITU-T is standardizing H.264/AVC based SVC. In this paper, we introduce research directions and status on SVC standardization and also analyze techniques and algorithms adopted in the current SVC.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.8
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• pp.793-797
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• 2008

To achieve flexible visual contents adaptation for multimedia communications, the ISO/IEC MPEG & ITU-T VCEG form the JVT to develop an SVC amendment for the H.264/AVC standard. JVT uses inter-layer prediction that can improve the rate-distortion efficiency of the enhancement layer. But inter-layer prediction causes computational complexity to be increased. In this paper, we propose a fast mode decision for inter frame coding. It makes use of the correlation between optimized prediction mode and its RD cost. Experimental results show that the proposed schemes save up to 38% of encoding time with a negligible coding loss and bit-rate increase.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06a
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• pp.241-242
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• 2008

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.54-65
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• 2006

In this paper, we propose a new functionality to Scalable Video Coding (SVC), which is the support of multiple ROIs for heterogeneous display resolution. Scalable video coding is targeted at giving temporal, spatial, and quality scalability for the encoded bit stream. Region of interest (ROI) is an area that is semantically important to a particular user, especially users with heterogeneous display resolutions. The bitstream containing the ROIs could to be extracted without any transcoding operations, which may be one of way to satisfy QoS. To define multiple ROI in SVC, we adapted FMO, a tool defined in H.264, and based on it, we propose a way to encode and decode ROIs. The proposed method is implemented on the JSVM1.0 and the functionality is verified using it.

• Journal of Broadcast Engineering
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• v.17 no.1
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• pp.108-121
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• 2012

As Scalable Video Coding (SVC) is a video compression standard extended from H.264/AVC, it is a way to provide scalability in terms of temporal, spatial and quality. Although the compression efficiency of SVC is increased due to the scalability in many aspect, it is essential to reduce the complexity in order to efficiently use because the complexity is relatively increased. To reduce the complexity of SVC in the paper, we propose fast mode decision algorithm to reduce the complexity of encoding process using direction information of B-picture by efficiently performing inter-layer prediction. The proposed algorithm is a fast mode decision algorithm that makes different from detection mode number of forward and backward, bi-direction in the way using best mode of base-layer up-sampled after simply SKIP mode detection using the direction information of best mode of base-layer up-sampled. The experimental results show that the proposed algorithm approach can achieve the maximum computational time saving about 53% with almost no loss of rate distortion (RD) performance in the enhancement layer.

• Journal of Korea Game Society
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• v.12 no.3
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• pp.59-68
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• 2012

This paper describes the design and implementation of a network-adaptive N-screen game system to be used in cloud computing. The system we are considering needs to generate game video in a cloud server and transmit the video to multiple game devices over an in-home wireless network via a home game server. It is difficult to support multiple screens which have different resolutions with a single bitstream of game video. Therefore, we developed a new network-adaptive game-video extraction and transmission method using (1) scalable video coding and (2) Raptor code techniques. The simulation, conducted with real game-video, verified the efficiency of the proposed video streaming system.